Remote AI Jobs

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

The Ideal Candidate:

You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.

Basic Qualifications:

Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
At least 4 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications:

6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
Experience designing, developing, delivering, and supporting AI services
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York, NY: $215,200 - $245,600 for Lead AI Engineer
San Jose, CA: $215,200 - $245,600 for Lead AI Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer

As a Capital One Machine Learning Engineer (MLE), you’ll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You’ll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.

What you’ll do in the role:

The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you’ll be expected to perform many ML engineering activities, including one or more of the following:
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
Retrain, maintain, and monitor models in production.
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models.
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
Use programming languages like Python, Scala, or Java.

Basic Qualifications:

Bachelor’s degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems

Preferred Qualifications:

Master’s or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
3+ years of experience building production-ready data pipelines that feed ML models
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
2+ years of experience developing performant, resilient, and maintainable code
2+ years of experience with data gathering and preparation for ML models
2+ years of people leader experience
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

McLean, VA: $197,300 - $225,100 for Lead Machine Learning EngineerNew York, NY: $215,200 - $245,600 for Lead Machine Learning EngineerPlano, TX: $179,400 - $204,700 for Lead Machine Learning Engineer

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS)

Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE), you’ll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You’ll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.

Team Description:

What you’ll do in the role:

The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you’ll be expected to perform many ML engineering activities, including one or more of the following:

Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
Retrain, maintain, and monitor models in production.
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models.
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
Use programming languages like Python, Scala, or Java.

Basic Qualifications:

Bachelor’s degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems

Preferred Qualifications:

Master’s or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
3+ years of experience building production-ready data pipelines that feed ML models
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
2+ years of experience developing performant, resilient, and maintainable code
2+ years of experience with data gathering and preparation for ML models
2+ years of people leader experience
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents

Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer
McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer
New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer
Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer
San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Senior Software Engineer

Description

Leidos is seeking a TS/SCI cleared Senior Software Engineer to join our mission-driven team. This role supports our client’s efforts to design and implement a cutting-edge data-centric architecture leveraging cloud-based computing, artificial intelligence (AI), machine learning (ML), and cross-domain transfer systems.

Why Join Us?

At Leidos, we believe in empowering our employees through training, teamwork, and exposure to challenging technical work. As part of our all-star team, you’ll have the opportunity to accelerate your career path while contributing to impactful projects that make a difference.

We offer:

Flexible work arrangements (remote and on-site in Bethesda, MD).
A collaborative environment that values innovation and professional development.
Opportunities to work on mission-focused solutions with cutting-edge technologies.

About the Role:

As a Senior Software Engineer, you will:

Work in a DevSecOps environment to ensure the availability of biometric systems and data for end users.
Lead the integration, maintenance, and monitoring of software systems to ensure constant availability of technical resources.
Design, implement, and enhance complex software systems, including processing-intensive analytics, real-time systems, and business management information systems.
Collaborate with Systems Engineers, Software Engineers, Architects, and Operations teams to develop enterprise AFEM (Automated Facial Extraction and Matching) capabilities.
Participate in test, staging, and production deployments, ensuring system reliability and performance.

Key Responsibilities:

Develop and maintain software applications using C#
Implement API development, ETL processes, and enterprise search capabilities (e.g., Elasticsearch).
Utilize DevOps tools like GitLab or Jenkins for CI/CD practices.
Monitor automated system integration tests and resolve system abnormalities.
Foster collaboration within the team to deliver high-quality solutions to customers.

Required Qualifications:

Education: Bachelor’s Degree with 8+ years of relevant experience or Master’s Degree with 6+ years of relevant experience. Additional years of experience may be substituted for a degree.
Clearance: Active Top Secret/SCI clearance with the ability to obtain and maintain Poly.
Technical Skills:
- Proficiency in C# programming and API development.
- Knowledge of SQL Server, ETL processes, and application-level security.
- Hands-on experience with microservices and logging systems.

Preferred Qualifications:

Familiarity with biometric systems and SDKs.
Experience with containerization (e.g., Docker) and DevOps tools
Experience with AWS cloud-based architecture and services like Lambda.
Experience with GPU for processing using CUDA, PyTorch, etc.
Knowledge of GraphQL, Python, Bash, Apache NiFi, and Kafka.
Active certifications such as Security+ or CE.
Proficiency with Linux server management and tools optimized for cross-platform environments.

#NMECDTP-Leidos

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 — and moving faster than anyone else dares.

Original Posting:

May 4, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

#Featuredjob

Product Marketing Manager, Seller Acquisition and Education (SAE)

$109,100/hour - $160,000/hour

RECENTLY POSTED

Were looking for a motivated, customer-obsessed, analytical Digital Marketing Manager to join our dynamic multi-functional seller marketing and design organization focused on driving the awareness, consideration, and activation as you help to recruit new third-party (3P) sellers to sell with Amazon (sell.A strategically important part of our charter is driving new seller acquisition through digital marketing, specifically search engine marketing (SEM). The Digital Marketing Manager will design, test, and scale best-in-class digital campaigns, cross-sharing best practices and insights with Global teams. This role is primarily responsible for managing paid search campaigns, executing experiments, and optimizing based on performance analysis and impact assessments. In addition, they will also be a key contributor on special projects and strategic initiatives across channels, including testing into white space opportunities. The ideal candidate will be able to work at the strategic level (generating bold and innovative ideas for growth) and at the tactical level (creating and managing campaigns with marketing tools, analyzing customer engagement data, and solving problems). Key job responsibilities Manage paid search campaigns to drive new seller acquisition, and test into white space demand gen opportunities Own the paid media experimental testing design to uncover key insights and inform future campaigns Build and execute campaigns, report on individual campaign results and bigger picture trends Oversee and continue to improve tracking, attribution, and overall data access to analyze key metrics, including ROI Document best practices in execution and reporting that will serve as a model for partner teams Collaborate closely with technical, business, finance and design teams, as well as coordinate with other cross Amazon performance marketing professionals Proactively evaluate and recommend optimizations/experiments for driving customer acquisition Measure and analyze channel performance to drive downstream impact A day in the life You will support new seller recruitment and success WW. Passion for results and commitment to action-oriented analysis "Anything is possible" attitude with creative problem-solving skills Relentless focus on the customer and improving their experience Strong digital marketing and operational excellence skills Ability to thrive in a fast-paced, ambiguous environment Proven track record of making data-driven decisions to influence the prioritization of features that scale solutions globally Experience communicating status, risks, and process changes to cross-functional stakeholders and leadership Demonstrated ability to work effectively with cross-functional teams Basic Qualifications - 4+ years of professional non-internship marketing experience - Experience using data and metrics to drive improvements - Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables) - Experience building, executing and scaling cross-functional programs or marketing campaigns from concept to completion - Experience managing and measuring marketing performance in various channels Preferred Qualifications - Experience managing external partners to develop marketing programs - Experience presenting ideas to various levels of an organization to gain support for initiatives - Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting - Experience identifying opportunities to integrate AI solutions into products and services to drive business value Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Sr. Product Marketing Manager, AWS Marketing, Amazon Connect

$161,900/hour - $218,600/hour

RECENTLY POSTED

Amazon Connect is revolutionizing how businesses interact with their customers, and as a Senior Product Marketing Manager, you'll be at the forefront of this transformation. You'll have the opportunity to shape the go-to-market strategy for one of the fastest-growing cloud contact center solutions in the industry. - Innovation at Scale: Work with AI and machine learning technologies that serve millions of customers globally - Day 1 Culture: Experience Amazon's unique "Day 1" culture that puts customers at the center of everything, emphasizing constant curiosity, nimbleness, and experimentation - Career Growth: Join a company known for "building with impact and innovating at global scale" where employees create solutions that matter while growing their careers in extraordinary ways Key job responsibilities Craft & develop compelling stories and content (e.g. presentations, whitepapers, infographics, webinars, customer success stories, product videos.) that land our value proposition Have a solid understanding of Amazon Connect customers, our product and the market more broadly Regularly engage with customers, analysts, and partners to drive advocacy Plan and execute marketing initiatives at events to showcase Amazon Connect innovation, messaging, content, keynotes, and breakout sessions Work closely with AWS field teams to maintain internal sales hubs with the latest resources, value propositions, and sales enablement content Partner with other marketing teams (e.g., web content, campaigns, demand generation, field teams, and events) to drive and execute on global marketing initiatives. Continuously measure and improve product marketing initiatives About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, theres nothing we cant achieve in the cloud. Basic Qualifications - 6+ years of professional non-internship marketing experience - Experience using data and metrics to drive improvements - Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables) - Experience building, executing and scaling cross-functional marketing programs - Experience leading go-to-market for consumer software or hardware product launches Preferred Qualifications - Experience using any of SQL or other analytical tools for conducting data analysis - Experience with customer segmentation, profiling, and targeting Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youre applying in isnt listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at. USA, CA, San Francisco - 161,900.00 - 218,600.00 USD annually USA, WA, Seattle - 147,200.00 - 198,700.00 USD annually

Director of Product Management AI Platform (Compute, Integrations & Cloud Infrastructure)

Teradata

San Diego, California

Our company: At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customersand our customers' customersto make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. About the role: We are seeking a Director of Product Management to own a core pillar of AI Studio spanning Python compute, Spark/data processing, third-party integrations, and cloud infrastructure. This is a foundational platform PM role responsible for defining and driving the product strategy behind the developer and runtime layer of an enterprise agentic AI platform. You will operate at the intersection of AI/ML, data platforms, and cloud infrastructure, turning deep technical capabilities into commercially viable, scalable products. What you will do: In this role, you will Own end-to-end product strategy, roadmap, and delivery for the Teradata AI Factory (Artemis) appliance form factor, the vector & retrieval layer, and ecosystem integrations. Translate customer and field signals into clear requirements, packaging, and competitive differentiation across cloud, on-prem, hybrid, and sovereign deployments. Lead design-partner programs to validate demand, performance targets (including low-latency retrieval), and integration fitthen convert learnings into repeatable go-to-market plays. Partner with engineering, sales/WWAS, pricing, and deal desk to drive execution with a disciplined release cadence and measurable outcomes. Define what success looks like through adoption, ecosystem attach, time-to-deploy, and margin healththen track and adjust to hit those targets. Apply foundational AI skills to explore and implement ways AI can enhance productivity, innovation, and impact across our workforce. Who you will work with: On our team, we build the next-generation Teradata AI Factory (Artemis)bringing together platform engineering, infrastructure, partner integrations, and go-to-market teams to deliver enterprise-grade AI capabilities across cloud and appliance form factors. This role reports to the VP, AI Platform, and works day-to-day with engineering leaders (platform + infra), sales/WWAS, pricing and deal desk, OEM/ISV partners (including Dell AI Factory alignment), and strategic customers. You'll collaborate with colleagues who share a commitment to leveraging AI responsibly, ensuring our people and customers benefit from the opportunities AI creates. What makes you a qualified candidate: 10-15+ years in product management, including Director-level leadership and ownership of end-to-end product definition through launch and go-to-market alignment. Direct experience in at least two of the following: AI/ML infrastructure or appliance systems; vector databases/retrieval systems; enterprise partner ecosystems and integrations. Experience with GPU-based systems and Kubernetes-based distributed platforms, including enterprise deployments in on-prem or hybrid environments. Foundational AI skills and the ability to understand how AI can be applied to improve outcomes in your area of expertise. What you will bring: Experience delivering or partnering on systems similar to Teradata AI Factory / Artemis, including appliance + platform considerations. Experience with OEM/strategic partnerships (e.g., Dell Technologies) and building integration programs with ISVs. Familiarity with the vector database and unstructured data ecosystem, and a pragmatic approach to build-vs-partner decisions. Experience building low-latency AI systems and setting measurable performance envelopes for retrieval/inference. Prior ownership of large product lines or platform components with meaningful revenue and/or adoption goals. A passion for how AI can unlock potential to help our teams, our customers, and our communities achieve great things. Why we think you will love Teradata: We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. #LI-CP2

Senior Lead Cloud Security Architect

The Senior Lead Cybersecurity Architect is responsible for defining the principles, standards, and design patterns to build secure products and enterprise tools for all of Cox Automotive’s multi-cloud and on-premises environments. This position’s architecture focus is on securing multi-cloud infrastructure and services and on-premises infrastructure. Peer cybersecurity architects will be focused on application security, software as a service (SaaS), and network security.

This role will use their deep cybersecurity knowledge in the designing and building of secure infrastructure and services in both multi-cloud and on-premises environments. They must be able to collaborate with cross-functional teams throughout the organization and propose well-defined cybersecurity architectural guidelines to be adopted by product and enterprise engineering teams. This role will directly report to the Senior Director of Cybersecurity Architecture at Cox Automotive.

Primary Responsibilities

Identify and recommend relevant cybersecurity policies, standards, procedures, and guardrails.
Drive the definition of cybersecurity guidelines across the product and enterprise architecture group by leading working groups focused on cybersecurity.
Develop secure design patterns in conjunction with the product and enterprise architecture group based on standards that can be adopted and implemented by engineering teams.
Contribute to the development of non-cyber architecture-related governance patterns, policies, and standards.
Provides complex analysis of potential risks to information systems’ security and recommends innovative solutions.
Work with cross-functional technical, development and delivery teams to ensure the application of smooth, efficient and scalable release processes.
Engage with business teams and engineering teams to define cybersecurity guardrails that promote efficient and seamless adoption of secure design patterns.
Participate in security events and incident response to identify gaps in current design and propose solutions to prevent threats from reoccurring.
Research and evaluate emerging security trends, threats, and technologies, and recommend appropriate solutions and enhancements.
Collaborate with data users, software and other technical stakeholders to ensure security considerations are factored into and underpin development and operational decision making.
Collaborate with cybersecurity peers to incorporate vulnerability management, governance, risk and compliance, cyber defense, continuous controls monitoring, and identity governance into cybersecurity standards as a cohesive cybersecurity organization.

Minimum Qualifications

Bachelor’s degree in a related discipline and 8 years of experience in a related field. The right candidate could also have a different combination, such as a master’s degree and 6 years of experience; a Ph.D. and 3 years of experience in a related field; or 12 years’ experience in a related field.
At least 4 years focused on cybersecurity.
Must have practical expertise in AWS cloud infrastructure and services and on-premises infrastructure.
Clearly articulate the objective of specific cybersecurity policies and procedures to technical and non-technical stakeholders.
Excellent customer service skills, writing, and executive presentation skills.
Develop a strong and productive working environment with key stakeholders and collaborate closely with other Cox entities’ cybersecurity teams to implement cybersecurity best practices.
Consultative nature to work through controversial or complex topics to employees, leaders, and/or senior leadership.
Evaluate risks and recommend actions based on impact and likelihood of the risk to the business.
Knowledge of current cybersecurity and technology architectures such as zero trust, IaaS, PaaS, SaaS, virtualization, and containerization.
Creatively solving complex cybersecurity challenges while exhibiting solid, pragmatic business acumen.
Experience utilizing Agile methodologies.
Initiating change and deploying solutions in Fortune 1000 companies.
Knowledge of cybersecurity frameworks (e.g., ISO 27000, NIST, FFIEC) and industry relevant regulations that will guide architectural requirements (e.g., GDPR, FFIEC, GLBA).
Collaborate with AI agents to create, validate, and assess architectural artifacts
Lead cross-functional teams in designing AI-enhanced solutions, establish standards for AI integration, and assess AI technologies within solution architectures.
Implement AI-driven architectural governance and compliance by defining robust AI governance frameworks and reference architectures.
Improve vendor tool assessments using AI to speed evaluations and minimize mistakes and unknowns.

Preferred Qualifications

Experience in the development and design of cybersecurity standard methodologies to all layers of the hosting and application stack in both cloud and on-premises environments.
Relevant experience with application security, SaaS, network security, DevSecOps, and software-defined networking across a variety of environments and deployments.
Knowledge of Identity and Access Management (IAM), cryptography / key management, secrets management, access controls and security protocols (e.g., multi-factor, SAML, OAuth, OIDC).
Experience with application security implementations and standard methodologies.
Extensive technology knowledge and recognized expertise in several areas including Python, .NET, Java, Spring frameworks, Oracle, serverless, cloud patterns, cloud service and user authentication or similar.
Experience with firewall, web application firewalls, and other edge services as well as deep understanding of DMZ and other network architectures.
AWS Well-Architected Framework.
Experience establishing a strategy for and implementing cloud enterprise solutions in AWS, GCP, or Azure.
A strong understanding of cloud containers and/or serverless platforms (e.g., EKS, ECS, Lambda, Fargate).
Big four consulting or Fortune 500 company experience.
Relevant industry certification (e.g., CISSP, CEH, OSCP, Azure, AWS, CISM, CISA).

USD 148,500.00 - 247,500.00 per year

Compensation:

Compensation includes a base salary in the range of $148,500.00 - $247,500.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

Benefits:

The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.

Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.

EOE, including disability/vets

Sr Lead Product Manager

The Sr. Lead Product Manager - Product Operations will be responsible for leading the creation and adoption of strategies to enable Cox Automotive Product team members to deliver best-in-class products. This role includes the management of shared product management discipline standards across Cox Automotive, managing initiatives which enable product management excellence, and supporting product readiness processes for key initiatives.

This role works cross-functionally with key partners in the product development lifecycle to define and operationalize best practices, develop learning and development programs, and drive adoption of enterprise standards.

A core component of this role is embedding AI-first methodologies into how product teams discover, define, build, launch, and measure products; shifting the organization from AI-aware to AI-native.

The person in this role is part of the core team that identifies, develops, and administers a range of enterprise-wide initiatives designed to improve Product Management and Product Readiness across teams, and works to effect broad change. This is both a strategic and hands-on position requiring a proactive spirit, broad thinking, and strong problem-solving capabilities. There is specific focus on optimizing discovery, enabling client feedback throughout the lifecycle, driving better outcomes through AI-augmented workflows, and improving alignment, communications, and processes around the products the Cox Automotive Product and Technology Group (CAPTG) team develops and manages.

The ideal candidate has a strong background in working with matrixed teams to build relationships, understand needs, consult on the best ways to address them, all while driving change and improvement. They bring deep product management experience paired with genuine fluency in applied AI and a track record of operationalizing new ways of working.

Position Responsibilities:

• Maturing Product Management: Drive processes that improve product management maturity, skills, and consistency across Cox Automotive. Evolve the enterprise practices including standards for discovery, delivery, and post-launch measurement. Accountable for measurable improvements in product discipline maturity.

• AI-First Product Management: Lead the development and adoption of AI-first approaches to product management across CAPTG. Integrate AI tools (e.g., Claude, Pendo, custom MCP integrations) into product workflows including discovery, research synthesis, specification writing, and launch readiness. Develop reusable playbooks, skills, and agents. Serve as internal SME and evangelist for AI in product management.

• Product Readiness: Support the development and execution of go-to-market and post-launch plans for key initiatives, partnering with Product Readiness leadership. Ensure products can be properly marketed, sold, contracted, installed, trained, billed, supported, and measured. Drive processes that elevate go-to-market planning and operational readiness for product launches.

Required Qualifications:

Knowledge, Skills, and Abilities

Strong ability and desire to:

• Lead the adoption of AI-first approaches to product management, with working knowledge of LLMs (Claude preferred), prompt engineering, and agentic workflows

• Provide excellent service to internal clients / stakeholders, always seeking to add incremental value

• Think critically and broadly about how tools, processes, and standards can be integrated to create compounding value

• Teach others and illuminate best practices in a compelling way that drives buy-in and adoption

Other key attributes:

• Self-motivated, able to independently drive initiatives with minimal oversight

• Thinking and operating broadly across diverse teams/stakeholders, macro/enterprise-level thinking

• Excellent written and verbal communication skills; comfortable communicating at all levels including senior leadership

• Ability to travel within the United States up to 15% of the time

Experience and Education Required:

• Bachelor’s degree in a related discipline and 8 years’ experience in a related field. The right candidate could also have a different combination, such as a master’s degree and 6 years’ experience; a Ph.D. and 3 years’ experience; or 20 years’ experience in a related field

• 5-7 years of experience in a Product organization directly in Product Management, Product Operations, or Product Readiness

• Hands-on experience applying AI tools to real product management workflows with measurable results

• Direct involvement in driving continuous improvement and large operational change management initiatives

• Strong ability to build key business relationships and contribute to the enterprise vision at Cox Automotive

• Strong ability to assess capabilities, gaps, and build plans for addressing training needs

Working knowledge of:

• AI in Product Management (hands-on, not theoretical)

• Change Management / ADKAR

• Double Diamond framework

Nice to have:

• Claude

• Pendo

• Consulting experience

• Spec Driven Development

• Certified in Human Centered Design

• B2B SaaS go-to-market experience, particularly in automotive

USD 134,900.00 - 224,900.00 per year

Compensation:

Compensation includes a base salary in the range of $134,900.00 - $224,900.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

Benefits:

EOE, including disability/vets

Field Sales Representative II, Growth Startups, Google Cloud

$97,500/hour - $141,000/hour

RECENTLY POSTED

Minimum Qualifications Bachelor's degree or equivalent practical experience. 7 years of experience in quota-carrying cloud or software sales, or consultative account management at a B2B software company. Experience managing the full business cycle (e.g., pipeline management, forecasting, reporting). Experience managing commercial negotiations and agreements. Experience engaging and building relationships with internal teams and customer stakeholders. Preferred Qualifications Experience with consultative selling to executives at Startup or Digital Native organizations, asking questions, presenting future-forward proposals, and building multi-year account strategies and plans. Experience identifying business opportunities, presenting the value of cloud, data, and AI technologies against customers challenges, and showcasing current technology trends and Google Cloud differentiators. Experience leading cross-functional teams and partners in project implementation and negotiation. Experience expanding existing accounts, securing new customers, and accelerating the consumption business. Experience with agreement structuring, negotiating commercial agreements, and supporting multi-year engagements. Demonstrated business and financial acumen, including Profit and Loss management and accurate forecasting. About the job The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Field Sales Representative (FSR) within our Startups organization, you will serve as a strategic partner to Google Cloud customers across the startup ecosystem. You will manage the growth strategy for Startup and Digital Native accounts, engaging customers, from developers to C-suite founders, with consultative value selling methodology. You will drive long-term business growth by gaining an understanding of our customers critical challenges and aligning them with Google Cloud's portfolio of solutions. You will lead the end-to-end sales process, from initiating customer conversations to orchestrating internal and external teams to deliver business commitments and increased consumption. You will advocate the innovative power of our products and solutions to make organizations more productive, collaborative, and mobile. Google Cloud's unique capabilities empower Startups and Digital Natives to address critical needs in scaling, growth, and global expansion, while also offering advanced technologies that drive differentiation, customer acquisition, and business acceleration. Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $97,500-$141,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Develop and implement business strategies to surpass business goals, and build relationships with customers. Leverage emerging technology trends, market analysis, and cloud solutions to showcase how Google Cloud can transform customers' businesses. Manage and track the sales pipeline, from lead to close, ensuring health and accurate forecasting for clear visibility into expected outcomes. Manage complex, multi-year agreements and formulate proposals that illustrate clear return on investment through customer business cases and comprehensive deployment plans. Mobilize internal experts (Customer Engineering, Partner, Post-Sales) and external partners at the right time to drive consumption and deliver a seamless customer experience.

Field Sales Representative II, Startups Growth, Cloud

$97,500/hour - $141,000/hour

RECENTLY POSTED

Minimum Qualifications Bachelor's degree or equivalent practical experience. 7 years of experience in quota-carrying cloud or software sales, or consultative account management at a B2B software company. Experience engaging and building relationships with a wide range of internal teams and customer stakeholders. Experience managing the full business cycle (e.g., pipeline management, forecasting, reporting). Experience managing commercial negotiations and agreements. Preferred Qualifications Experience with consultative selling to executives at Startup or Digital Native organizations, asking questions, presenting future-forward proposals, and building multi-year account strategies and plans. Experience qualifying leads and presenting the value proposition of cloud, data, and AI technologies against customers business opportunities while showcasing current technology trends and Google Cloud differentiators. Experience expanding existing accounts, securing customers, and accelerating consumption business. Experience with complex agreement structuring, negotiating commercial agreements, and supporting multi-year engagements. Experience leading cross-functional teams and partners in project implementation and negotiation. Experience with business and financial acumen (e.g., profit and loss management and accurate forecasting). About the job The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Field Sales Representative (FSR) within our Startups organization, you will serve as a strategic partner to Google Cloud customers across the startup ecosystem. You will manage the growth strategy for Startup and Digital Native accounts, engaging customers, from developers to C-suite founders, with consultative value selling methodology. You will drive long-term business growth by gaining a deep understanding of your customers' critical challenges and aligning them with Google Cloud's portfolio of solutions. You will lead the business process, from initiating customer conversations to orchestrating internal and external teams to deliver business commitments and increased consumption. You will advocate the innovative power of our products and solutions to make organizations more productive, collaborative, and mobile. Google Cloud's unique capabilities empower Startups and Digital Natives to address critical needs in scaling, growth, and global expansion, while also offering advanced technologies that drive differentiation, customer acquisition, and business acceleration. Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $97,500-$141,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Develop and implement sales strategies to surpass business goals and build trusted, consultative relationships with customers. Manage and track the sales pipeline, from lead to close, ensuring health and accurate forecasting for clear visibility into expected outcomes. Manage complex, multi-year agreements and formulate persuasive proposals that illustrate clear return on investment through customer business cases and comprehensive deployment plans. Mobilize internal experts (Customer Engineering, Partner, Post-Sales) and external partners at the right time to drive consumption and deliver a seamless customer experience. Leverage emerging technology trends, market analysis, and knowledge of cloud solutions to showcase how Google Cloud can transform customers' business.

FULLY REMOTE Cost Estimator

Jones Lang LaSalle

Los Angeles, California

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. Whether youve got deep experience in commercial real estate, skilled trades or technology, or youre looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Role Summary: The Capital Planning Estimator is responsible for developing accurate project schedule and financial estimates during the pre-migration phase of capital projects, serving as a critical link between Capital Planning and Project Delivery teams. This role ensures financial viability of projects through detailed cost modeling, timeline forecasting, and risk assessment before projects are approved for execution. The Estimator will also support Project Managers in developing robust budget requests and navigating approval processes once projects transition to the delivery phase. Reporting to the Capital Planning Director, this position will be instrumental in establishing estimation standards, enhancing financial accuracy, and improving the overall predictability of capital projects from conception through delivery. Pre-Migration Estimation Develop comprehensive cost estimates and project schedules for capital projects prior to governance approval Analyze project scope documents to identify cost drivers, potential risks, and resource requirements Perform detailed quantity takeoffs and apply appropriate cost factors based on project location, complexity, and market conditions Create multi-scenario financial models to support decision-making during the capital planning process Validate preliminary estimates from stakeholders and refine assumptions to ensure accuracy Budget Development & Standardization Establish and maintain standardized estimation templates and tools to ensure consistency across the capital planning portfolio Develop historical cost databases and benchmarks to improve estimation accuracy over time Perform cost-benefit analyses and value engineering recommendations during the due diligence phase Create project phasing strategies that align with budget cycles and operational constraints Document estimation methodology and maintain an audit trail of cost assumptions Project Delivery Support Partner with Project Managers to prepare and defend budget requests/approvals during the delivery phase Develop clear documentation packages that substantiate budget adjustments and change orders Conduct variance analyses between estimated and actual costs to continuously improve estimation accuracy Support the change management process by providing financial impact assessments of scope modifications Assist in developing contingency recommendations based on risk assessments Cross-Functional Collaboration Work closely with Capital Planning Managers to enhance financial components of project intake and due diligence Collaborate with the Global Engineering Center to incorporate technical specifications into cost estimates Partner with Transaction and Sustainability teams to quantify financial implications of strategic initiatives Provide estimation expertise during Capital Plan Governance Meetings to inform decision-making Serve as a financial liaison between Capital Planning and Project Delivery teams Process Improvement Identify opportunities to streamline estimation processes through technology and best practice implementation Develop KPIs to measure estimation accuracy and drive continuous improvement Lead training sessions on estimation methodologies for stakeholders across the organization Stay current on market conditions and industry trends that impact project costs and timelines Contribute to the development of estimation functionality within the AdaptiveWork Capital Planning Module Sound like you? To apply you need to have: 5+ years of experience in construction estimation, cost management, or quantity surveying, preferably in commercial real estate Strong technical knowledge of construction methods, materials, and industry standards Proficiency in estimation software and financial modeling tools Experience developing project schedules and identifying critical path dependencies Demonstrated ability to analyze construction documents and extract relevant cost information Strong analytical skills with attention to detail and accuracy Excellent communication skills with the ability to explain complex financial concepts to diverse stakeholders Knowledge of capital planning processes and project governance frameworks Bachelor's degree in Construction Management, Engineering, Quantity Surveying, or related field Preferred Qualifications: Professional certification such as Certified Cost Estimator/Professional (CCE/P), Certified Professional Estimator (CPE), or similar credential Experience working with integrated capital planning systems and financial management platforms Understanding of lifecycle costing and total cost of ownership principles Knowledge of sustainable building practices and their cost implications Experience supporting capital projects in multiple geographic regions This position does not provide visa sponsorship. Location: Remote Chicago, IL, Los Angeles, CA If this job description resonates with you, we encourage you to apply, even if you dont meet all the requirements. Personalized benefits that support personal well-being and growth: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLLs recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here. Jones Lang LaSalle (JLL) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process including the online application and/or overall selection process you may email us at HRSCLeaves@jll.com. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles Fair Chance Initiative for Hiring Ordinance. Accepting applications on an ongoing basis until candidate identified.

Software Engineer, Cloud Service Mesh

$147,000/hour - $211,000/hour

RECENTLY POSTED

Minimum Qualifications Bachelors degree or equivalent practical experience. 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. Experience developing and deploying containerized applications on Kubernetes. Preferred Qualifications Master's degree or PhD in Computer Science, or a related technical field. 2 years of experience with data structures and algorithms. Experience with C++ or Go programming languages. Experience building networking components and products (e.g., load balancers, firewalls, NAT, SDN, switches/routers, CDN, network protocols, or caching). About the job Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Modern applications are architected as distributed collections of microservices. A service mesh is a dedicated infrastructure layer for transparently adding capabilities like observability, traffic management, and security. The CSM (Cloud Service Mesh) Platform is a critical component of Google Cloud's Service Centric Networking, acting as the foundation for AI enablements and next-generation Agentic workloads. Our mission is to create many differentiating features to allow customers to operate their microservices securely, compliantly, and scalably, regardless of the platform they run on or the type of compute infrastructure they need. Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Deliver high-quality features and components with minimal guidance from executive team members, taking full ownership of assigned project work. Scope and solve technical problems across the team's systems, clarifying requirements and proactively seeking input when necessary. Build systems and tools to automate common operations (e.g., installation, upgrades, and troubleshooting) on customer clusters. Maintain clear communication and respectful collaboration with Technical Leads, peers, and partner teams across CSM and GCP (Google Cloud Platform). Ensure a frictionless and resilient experience.

+21

Skilled Wound Care is seeking a hands-on DevOps Engineer to take ownership of the deployment, operation, and security of our healthcare software platforms including our Electronic Health Record (EHR) system and our end-to-end Revenue Cycle Management (RCM) and billing platform. In this role, you will be the primary owner of how our applications are built, shipped, run, monitored, and secured in production. This is the first dedicated DevOps role at our company, and it is being created to formalize and grow this function as we scale. You will own the full scope of our application infrastructure on a day-to-day basis, with our Lead Software Developers serving as backup support for production emergencies and after-hours coverage. This position is focused exclusively on our software product infrastructure the servers, cloud resources, containers, pipelines, and tooling that support our applications. You will not be responsible for general corporate IT systems such as file shares, remote desktop servers, internal VPNs, or end-user device management. Because our platforms handle Protected Health Information (PHI), security and compliance are not afterthoughts they are core to the role. You will work closely with our development team to ensure that everything we ship is reliable, performant, and compliant with HIPAA and our broader security program. On-Call: This role includes participation in a primary on-call rotation for production incidents affecting our healthcare platforms, with the Lead Software Developers serving as secondary/backup coverage. We aim to keep on-call burden reasonable through strong monitoring, automation, and clearly documented runbooks. Responsibilities: Own the deployment, configuration, and lifecycle management of our application servers and cloud infrastructure across development, staging, and production environments. Provision and manage AWS resources (EC2, VPC, RDS, S3, IAM, Route 53, ELB/ALB, CloudFront, ACM, etc.) to support our application stack; secondary GCP exposure is a plus. Build, maintain, and harden Docker images and container deployments for our applications. Use Infrastructure as Code (Terraform preferred) to define and version-control cloud resources where practical, and progressively reduce manual configuration over time. Maintain Linux servers install, patch, harden, and tune them for performance, reliability, and security. Coordinate with the development team to manage updates to application runtimes, frameworks, and system-level dependencies (e.g., PHP, Node.js, Python, Nginx/Apache, MySQL, OS packages). Build and maintain CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, or CircleCI) for automated build, test, and deployment of our applications. Implement safe, repeatable release processes including environment promotion, automated test gates, and reliable rollback procedures. Provide tooling and documentation that helps developers ship faster while staying within secure, compliant guardrails. Implement and maintain monitoring, alerting, and observability tooling (e.g., CloudWatch, Datadog, New Relic, Prometheus/Grafana) across our application stack. Set up centralized logging and audit trails appropriate for a HIPAA-regulated environment. Participate in a primary on-call rotation for production incidents, with the Lead Software Developers providing secondary/backup coverage. Investigate and resolve production issues, communicate clearly with stakeholders during incidents, and run post-mortems with concrete follow-up actions. Track uptime and reliability targets; proactively identify reliability and capacity risks before they become outages. Maintain and improve the security posture of our application infrastructure: AWS security groups and network ACLs, IAM/role-based access, encryption in transit and at rest, secrets management (e.g., AWS Secrets Manager, Parameter Store, or HashiCorp Vault), and audit logging. Implement and maintain controls aligned with HIPAA Security Rule requirements, including access controls, audit trails, integrity controls, transmission security, and backup/disaster recovery. Run vulnerability scanning and dependency/container image scanning; coordinate timely remediation of security findings with the development team. Maintain configurations and documentation needed to support audits and compliance frameworks (e.g., HIPAA, and SOC 2 / HITRUST as we mature). Manage backups, retention policies, encryption keys, and disaster recovery procedures including periodic restore testing. Requirements: 3-5 years of professional experience in a DevOps, SRE, Cloud Engineering, or Systems Engineering role, including hands-on responsibility for production environments. Demonstrated experience supporting the full deployment lifecycle of web-based applications from build through release, monitoring, and incident response. Comfortable being the primary day-to-day owner of application infrastructure in a small team, with senior engineers available as backup. Strong Linux administration skills comfortable on the command line, with services like systemd, networking, file systems, package management, and shell scripting. Solid hands-on experience with AWS, including core services such as EC2, VPC, IAM, RDS, S3, Route 53, and ELB/ALB; familiarity with GCP is a plus, as we use it as a secondary cloud. Practical experience with Docker building images, optimizing layers, managing registries, and running containers in production. Experience designing and maintaining CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or CircleCI. Familiarity with Infrastructure as Code, ideally Terraform; willingness and ability to expand IaC coverage over time even where current state is partially manual is welcome. Proficiency with at least one scripting/automation language (Bash, Python, or similar). Solid understanding of networking fundamentals: DNS, TLS/SSL, load balancing, reverse proxies (Nginx/Apache), VPCs, subnets, and firewall/security group rules. Working experience administering relational databases in production (MySQL preferred; PostgreSQL, MariaDB, or MS SQL Server also acceptable), including backups, basic replication, and routine performance considerations. Experience with monitoring/alerting and centralized logging tools. Working understanding of HIPAA Privacy and Security Rule requirements as they apply to application infrastructure: access controls, audit logging, encryption requirements, transmission security, and breach notification considerations. Familiarity with secure-by-default infrastructure practices: least-privilege IAM, secrets management, network segmentation, encryption in transit and at rest, and patch management. Awareness of common web application and infrastructure security risks (e.g., OWASP Top 10 at a conceptual level, common cloud misconfigurations) and how to mitigate them at the infrastructure layer. Experience working in an Agile environment using JIRA (or equivalent) for ticket tracking and project visibility. Comfort with Git-based workflows (branching, pull requests, code review). Ability to write clear technical documentation, runbooks, and post-mortems. Preferred Qualifications: Prior experience supporting healthcare software platforms (EHR/EMR, RCM, medical billing, practice management, or similar) is a significant plus. Familiarity with healthcare interoperability standards and integrations (HL7, FHIR, X12 EDI, clearinghouse connectivity) from an infrastructure perspective. Hands-on experience supporting compliance audits for HIPAA, HITRUST, SOC 2, or similar frameworks. Experience with HashiCorp tooling (Vault, Consul) or equivalent secrets-management solutions beyond AWS-native options. Experience with configuration management tools (Ansible, Chef, Puppet, or SaltStack) for non-containerized workloads. Experience tuning and operating PHP application stacks (PHP-FPM, OPcache, Composer, etc.) and/or Node.js and Python application servers. AWS certifications such as AWS Certified Solutions Architect (Associate or Professional), SysOps Administrator, or DevOps Engineer Professional. GCP certifications such as Associate Cloud Engineer or Professional Cloud DevOps Engineer are also a plus. Security-focused certifications such as CompTIA Security+, AWS Certified Security - Specialty, or HealthCare Information Security and Privacy Practitioner (HCISPP). Experience using AI tools (e.g., Claude Code, Cursor) responsibly to accelerate scripting, IaC authoring, troubleshooting, and documentation we view AI as a force multiplier, not a replacement for sound engineering judgment. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Details: This position will be a full time remote position Health, Dental, Vision Insurance Generous 401k plan Paid time off and holidays Life Insurance Education stipend (Skilled Wound Care is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age (40 or older), disability or genetic information).

Field Sales Representative III, Growth Startups, Google Cloud

$118,000/hour - $172,000/hour

RECENTLY POSTED

Minimum Qualifications Bachelor's degree or equivalent practical experience. 10 years of experience in quota-carrying cloud or software sales, or consultative account management at a B2B software company. Experience engaging and building relationships with a wide range of internal teams and customer stakeholders. Experience managing commercial negotiations and agreements. Experience managing the full business cycle (e.g., pipeline management, forecasting, reporting). Preferred Qualifications Experience with consultative selling to executives at startup or digital native organizations, asking questions, presenting future-forward proposals, and building multi-year account strategies and plans. Experience leading cross-functional teams and partners in project implementation and negotiation. Experience with agreement structuring, negotiating commercial agreements, and supporting multi-year engagements. Experience expanding existing accounts, securing new customers, and accelerating consumption business growth. Experience qualifying leads and presenting the value proposition of cloud, data, and AI technologies against customers business opportunities and challenges. Experience with business and financial acumen, including profit and loss management and accurate forecasting. About the job The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Field Sales Representative (FSR) within our Startups organization, you will serve as a strategic partner to Google Cloud customers across the startup ecosystem. You will manage the growth strategy for Startup and Digital Native accounts, engaging customers, from developers to founders, with consultative value methodology. You will drive long-term business growth by gaining an understanding of customers' critical challenges and aligning them with Google Cloud's portfolio of solutions. You will lead the business process, from initiating customer conversations to orchestrating internal and external teams to deliver business growth commitments and increased consumption. You'll advocate the innovative power of products and solutions to make organizations more productive, collaborative, and mobile. Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $118,000-$172,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Develop and implement sales strategies to surpass business growth goals and build trusted, consultative relationships with customers. Leverage emerging technology trends, market analysis, and knowledge of cloud solutions to showcase how Google Cloud can transform customers' business. Manage and track the business pipeline, from lead to close, ensuring health and accurate forecasting for clear visibility into expected outcomes. Manage multi-year contracts and formulate proposals that illustrate clear return on investment through customer business cases and comprehensive deployment plans. Mobilize internal experts (e.g., customer engineering, partner, post-sales) and external partners to drive consumption and deliver a seamless customer experience.

Account Executive - Splunk Commercial

Cisco

San Francisco, California

Remote or hybrid

Mid - Senior

$136,000/hour - $187,000/hour

RECENTLY POSTED

The application window is expected to close on: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. This role can be performed remotely from California or other Pacific Time Zone states, with a preference for candidates based in the San Francisco Bay Area. Meet the Team Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Come help organizations be their best, while you reach new heights with a team that has your back. Your Impact The Account Executive will play a crucial role in driving significant revenue growth for Splunk Commercial accounts. You will establish a strategic vision and plan for pipeline generation, consistently meet license, support, and service revenue targets, and directly impact customer experience. This role offers a dynamic environment where hardworking, driven sales professionals can contribute from day one while accessing opportunities for continuous learning and growth. In addition you will: Drive revenue growth and expand a geo-based territory by engaging both existing customers and new prospects to contribute directly to the organizations financial goals. Collaborate with business partners to develop compelling enterprise solutions that articulate clear value and return on investment across multiple decision-makers, enhancing cross-team alignment and customer success. Influence the customer experience by enabling high transactional velocity and delivering impactful sales outcomes that support the companys mission to empower technology adoption. Seize unique opportunities for continuous learning and professional growth within a supportive environment that values innovation and individual contribution from day one. Define success by consistently meeting or exceeding sales targets, fostering strong customer relationships, and contributing to the overall market presence and revenue share of the organization. Minimum Qualifications 3+ years of SaaS sales experience, which includes experience in a discrete quota carrying role, or similar role Preferred Qualifications Demonstrated understanding of how Splunk products and services address customer challenges. Proven track record of consistently exceeding sales targets. Expertise in consultative and solution selling methodologies, including MEDDPICC and Value Selling. Strong skills in territory planning, forecasting, and managing a full sales cycle. Excellent critical judgment to analyze complex situations, assess risks, and develop creative solutions. Effective negotiation, communication, and presentation skills, with confidence engaging C-level executives. Relevant experience in software industry domains such as IT systems, enterprise management, DevOps, security, business applications, or analytics. Why Cisco? At Cisco, were revolutionizing how data and infrastructure connect and protect organizations in the AI era and beyond. Weve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and youll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $136,000.00 to $187,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation\*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Ciscos plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Ciscos policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees 1 paid day off for employees birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees\*\* receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees Exempt employees participate in Ciscos flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Ciscos policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $136,000.00 - $204,000.00 Non-Metro New York state & Washington state: $136,000.00 - $204,000.00 \* For quota-based sales roles on Ciscos sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. \*\* Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Account Manager II - Wholesale

$65,793/hour - $87,715/hour

RECENTLY POSTED

Lumen is the trusted network for AI. We’re transforming how businesses connect, secure, and scale in an AI-driven world.

By connecting people, data, and applications quickly, securely, and effortlessly, we help organizations move faster and unlock what’s next.

At Lumen, people power progress. Our culture is built on teamwork, trust, and transparency, giving you the flexibility, support, and opportunity to make a lasting impact. We’re looking for top-tier talent ready to take on the challenge. Join us in building the future.

The Role

The Wholesale Account Manager is responsible for driving revenue growth within an assigned base of wholesale accounts. This role focuses on hunting for new opportunities within existing relationships, uncovering new buying centers, and expanding the breadth of solutions adopted. The position is accountable for pipeline development, opportunity management, forecast accuracy, and quota attainment.

The Main Responsibilities

•Develop and execute account plans focused on hunting and expansion within the assigned base.
•Identify, qualify, bid, negotiate, and close new sales opportunities to meet and exceed sales and revenue targets.
•Prospect proactively via cold calling, email outreach, social selling, networking, customer meeting, and events.
•Expand wallet share through cross-sell and up-sell motions with sales overlay team, uncover new buying centers and stakeholders.
•Build multi-threaded relationships with decision makers and influencers to gain strategic positioning.
•Create proposals, statements of work, and pricing configurations in collaboration with internal teams.
•Drive the end-to-end sales cycle including working with solution engineers, post-sales order submission, and service delivery coordination.
•Maintain accurate weekly forecast and pipeline funnel; ensure CRM hygiene and data integrity.
•Provide market and customer insights to sales leadership regarding trends and competitive activity.
•Demonstrate solid knowledge of the company’s product suite and stay current on emerging technologies.

What We Look For in a Candidate

•5+ years of B2B field sales experience; telecom or technology sales strongly preferred.
•Proven success meeting/exceeding sales quotas with a hunter mindset and disciplined prospecting habits.
•Working knowledge of wholesale wireless, IP/data, and voice/network services.
•Strong communication skills (written, verbal, and formal presentation); proficiency in closing and negotiating.
•Self-motivated, proactive, and results-oriented; able to work independently and manage multiple priorities.
•Proficient in Microsoft Office and CRM tools; Salesforce experience preferred.
•Working knowledge of selling IP, data, and voice network services

Compensation

This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.

Location Based Pay Ranges

$65,793 - $87,715 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY
$69,080 - $92,106 in these states: CO HI MI MN NC NH NV OR RI
$72,368 - $96,487 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA

Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We’re able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.

Learn more about Lumen’s:
Benefits

#LI-Remote

#LI-LC3

Requisition #: 342041

Background Screening

If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Equal Employment Opportunities

We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.

Privacy Notice

Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data.

To review Lumen’s Privacy Notice, please visit:

Disclaimer

The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.

Account Manager II - Wholesale

$65,793/hour - $87,715/hour

RECENTLY POSTED

Lumen is the trusted network for AI. By connecting people, data, and applications quickly, securely, and effortlessly, we help organizations move faster and unlock what’s next.

Our culture is built on teamwork, trust, and transparency, giving you the flexibility, support, and opportunity to make a lasting impact. Join us in building the future.

The Wholesale Account Manager is responsible for driving revenue growth within an assigned base of wholesale accounts. The position is accountable for pipeline development, opportunity management, forecast accuracy, and quota attainment.

Develop and execute account plans focused on hunting and expansion within the assigned base.

•Identify, qualify, bid, negotiate, and close new sales opportunities to meet and exceed sales and revenue targets.

•Prospect proactively via cold calling, email outreach, social selling, networking, customer meeting, and events.

•Expand wallet share through cross-sell and up-sell motions with sales overlay team, uncover new buying centers and stakeholders.

•Build multi-threaded relationships with decision makers and influencers to gain strategic positioning.

•Create proposals, statements of work, and pricing configurations in collaboration with internal teams.

•Drive the end-to-end sales cycle including working with solution engineers, post-sales order submission, and service delivery coordination.

•Maintain accurate weekly forecast and pipeline funnel; ensure CRM hygiene and data integrity.

•Provide market and customer insights to sales leadership regarding trends and competitive activity.

•5+ years of B2B field sales experience; telecom or technology sales strongly preferred.

•Proven success meeting/exceeding sales quotas with a hunter mindset and disciplined prospecting habits.

•Working knowledge of wholesale wireless, IP/data, and voice/network services.

•able to work independently and manage multiple priorities.

•Proficient in Microsoft Office and CRM tools; Salesforce experience preferred.

•Working knowledge of selling IP, data, and voice network services

This information reflects the anticipated base salary range for this position based on current national data. Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We’re able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.

LI-Remote

#If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.

It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. All legitimate job openings will be posted on our official website or communicated through official company email addresses.

Contract Manager - Strategic

$67,703/hour - $90,270/hour

RECENTLY POSTED

Lumen is the trusted network for AI. We’re transforming how businesses connect, secure, and scale in an AI-driven world. By connecting people, data, and applications quickly, securely, and effortlessly, we help organizations move faster and unlock what’s next.

Join us in building the future.

At Lumen Technologies, we’re building the next-generation digital infrastructure that connects people, data, and applications—fast, secure, and everywhere. As a Contract Manager , you’ll be a key contributor to Lumen’s colocation and data center vendor management strategy, negotiating and executing renewals, amendments, and complex service orders that directly enable network expansion, capacity growth, and cost control across North America.

You’ll manage multiple vendor negotiations simultaneously and partner closely with Network Planning, Field Operations, Finance, and Legal. This role serves as the operational contract lead for assigned colocation portfolios, ensuring solutions are commercially sound and operationally executable.

This is a work from home position within the U.Negotiate, renew, and execute colocation agreements, amendments, and service orders with third-party data center providers and infrastructure partners.

Manage complex, high-volume colocation renewals and site augmentations to support network expansion, capacity delivery, and transformation initiatives.

Coordinate closely with network planning, engineering, finance, legal, and operations teams to deliver timely and executable colocation solutions.

Review and analyze contracts, pricing schedules, power configurations, and technical requirements to ensure alignment with business and network needs.

Monitor vendor performance, enforce commercial and operational contract terms, and escalate issues to drive resolution and accountability.

Serve as the contract execution and coordination lead for assigned colocation projects and vendor portfolios within a defined geographic region.

Track agreement status, approvals, financials, and milestones to ensure accuracy and compliance with internal policies and processes.

Maintain and update colocation inventory, contract records, and document repositories to support reporting, audits, and future sourcing activities.

Prepare dashboards, progress updates, and executive-ready metrics related to cost, capacity, and delivery performance.

Resolve complex, multi-variable challenges by evaluating financial, technical, and contractual tradeoffs to deliver business-aligned outcomes.

5+ years of relevant experience in contract management, colocation, vendor management, or infrastructure operations

~ Strong negotiation, analytical, and problem-solving skills in complex commercial and technical environments

~ Proven ability to manage multiple priorities and negotiations simultaneously in a fast-paced environment

~ Clear and effective communicator capable of working cross-functionally with technical, financial, and legal stakeholders

~ Experience managing vendor relationships and driving accountability through contract terms

~ Proficiency in Microsoft Excel and Office tools; ability to manage detailed, data-heavy inventories and trackers

~ Bachelor’s degree in business, finance, legal studies, or a related field

Experience supporting large-scale colocation, data center, or network infrastructure programs

Exposure to telecom, cloud infrastructure, financial operations, or contract/legal environments

Experience partnering with strategic contract managers or sourcing teams on new agreements

LI-Remote

It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. All legitimate job openings will be posted on our official website or communicated through official company email addresses.

Contract Manager - Strategic

$67,703/hour - $90,270/hour

RECENTLY POSTED

Lumen is the trusted network for AI. We’re transforming how businesses connect, secure, and scale in an AI-driven world.

By connecting people, data, and applications quickly, securely, and effortlessly, we help organizations move faster and unlock what’s next.

The Role

Location

This is a work from home position within the U.S.

The Main Responsibilities

Negotiate, renew, and execute colocation agreements, amendments, and service orders with third-party data center providers and infrastructure partners.
Manage complex, high-volume colocation renewals and site augmentations to support network expansion, capacity delivery, and transformation initiatives.
Coordinate closely with network planning, engineering, finance, legal, and operations teams to deliver timely and executable colocation solutions.
Review and analyze contracts, pricing schedules, power configurations, and technical requirements to ensure alignment with business and network needs.
Monitor vendor performance, enforce commercial and operational contract terms, and escalate issues to drive resolution and accountability.
Serve as the contract execution and coordination lead for assigned colocation projects and vendor portfolios within a defined geographic region.
Track agreement status, approvals, financials, and milestones to ensure accuracy and compliance with internal policies and processes.
Maintain and update colocation inventory, contract records, and document repositories to support reporting, audits, and future sourcing activities.
Prepare dashboards, progress updates, and executive-ready metrics related to cost, capacity, and delivery performance.
Resolve complex, multi-variable challenges by evaluating financial, technical, and contractual tradeoffs to deliver business-aligned outcomes.

What We Look For in a Candidate

Required:

5+ years of relevant experience in contract management, colocation, vendor management, or infrastructure operations
Strong negotiation, analytical, and problem-solving skills in complex commercial and technical environments
Proven ability to manage multiple priorities and negotiations simultaneously in a fast-paced environment
Clear and effective communicator capable of working cross-functionally with technical, financial, and legal stakeholders
Experience managing vendor relationships and driving accountability through contract terms
Proficiency in Microsoft Excel and Office tools; ability to manage detailed, data-heavy inventories and trackers
Ability to work independently while operating within defined governance and approval frameworks

Preferred:

Bachelor’s degree in business, finance, legal studies, or a related field
Experience supporting large-scale colocation, data center, or network infrastructure programs
Exposure to telecom, cloud infrastructure, financial operations, or contract/legal environments
Experience partnering with strategic contract managers or sourcing teams on new agreements

Compensation

Location Based Pay Ranges

$67,703 - $90,270 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY
$71,088 - $94,784 in these states: CO HI MI MN NC NH NV OR RI
$74,474 - $99,297 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA

Learn more about Lumen’s:

#LI-Remote

#LI-PB1

Requisition #: 341961

Background Screening

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Equal Employment Opportunities

Privacy Notice

To review Lumen’s Privacy Notice, please visit:

Disclaimer

Senior/Staff Product Designer

Design the future of connected systems by turning complex, real world IoT, satellite and space infrastructure, and AI driven platforms into intuitive, beautifully crafted product experiences used at global scale.

This Jobot Job is hosted by: Christina Finster
Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.
Salary: $180,000 - $240,000 per year

A bit about us:

Our client is a Series B, venture-backed company with over $100M in funding, building a new category of global connectivity infrastructure. Their platform sits at the intersection of software, hardware, and distributed systems, enabling machine-to-machine communication at scale. They are backed by top-tier investors and are tackling deeply technical challenges across IoT, networking, and real-world data systems.

This is not a traditional product design role.

You’ll be shaping how complex, real-world systems become understandable, usable, and visually intuitive. The product spans dashboards, developer-facing experiences, and mobile interfaces, all connected through a unified system.

The core challenge is translating dense, multi-layered data and infrastructure into experiences that feel simple, fast, and obvious to end users.

Why join us?

Compensation: $180-$240k base salary (depending on experience)
Meaningful equity and ownership
Comprehensive health, dental, and vision coverage
Unlimited PTO
Learning and development support
Wellness stipend

Job Details

What You Will Own:
Design the core product experience across dashboard, developer workflows, and mobile surfaces
Translate complex systems including APIs, device behavior, and real-world data into clear, intuitive user interfaces
Create visual systems that help users understand state, behavior, and change across large-scale connected environments
Own the full user journey from first interaction through ongoing usage, ensuring cohesion across every touchpoint
Build and evolve a scalable design system that supports speed, consistency, and long-term product growth
Work directly with customers to understand how they think about operational workflows, connectivity, and system visibility
Partner deeply with engineering and product to shape both the experience and underlying system design
Use AI to accelerate design exploration, prototyping, and iteration speed

What You Bring:
Experience designing complex B2B or enterprise software where systems, data, and workflows are core to the product
Strong visual design skills with the ability to bring clarity and structure to dense, information-heavy interfaces
Comfort working across multiple surfaces including dashboards, developer tools, and mobile
Ability to think in systems, not just screens, connecting user experience to underlying architecture
Experience collaborating closely with engineers and engaging in technical conversations around APIs, constraints, and system behavior
A strong sense of ownership with the ability to operate as a senior IC shaping product direction
Fluency with modern AI-assisted design workflows that improve speed and breadth of exploration
Experience building or contributing to design systems used by engineering teams

Ideal Background:
6+ years of product design experience with a strong portfolio
Experience in areas like developer platforms, infrastructure, IoT, data systems, or complex SaaS products is highly relevant
Track record of designing products that balance technical depth with usability and clarity
Experience working in fast-moving, early-stage or 0 to 1 environments

Interested in hearing more? Easy Apply now by clicking the “Apply” button.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot’s Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

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Frequently asked questions

Our job board features a wide range of remote AI positions, including machine learning engineers, data scientists, AI researchers, natural language processing specialists, and AI software developers, among others.

While the majority of AI jobs listed are fully remote, some may offer hybrid options or require occasional onsite visits. Each listing specifies the remote work policy.

You can use the filter options on the job search page to select 'Remote' under the location filter. Additionally, you can use keywords like 'remote' or 'work from home' in the search bar.

Most AI roles require a strong foundation in computer science, data science, or related fields, but requirements vary by position. Some roles may prioritize experience and skills over formal education, so be sure to check individual job requirements.

We update our job board daily to ensure fresh and relevant remote AI opportunities are available for job seekers.