Manager, Data Scientist - Recommendation & Personalization Systems Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

Join an elite Applied AI team within AI Foundations, operating at the intersection of deep research and massive real-world impact. We are pioneering the next generation of personalized customer experiences across Capital One’s web and mobile applications, leveraging our high-scale ML models. Our core mission involves architecting and deploying cutting-edge personalized recommendation engines. This is powered by original research into homegrown Foundation Models , advanced Reinforcement Learning techniques, and a state-of-the-art scalable architecture built for billions of interactions. Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference , Transformer-based architectures , and sophisticated Recommender Systems .

Role Description

In this role, you will:

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

• Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
• Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
• Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
• A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications:

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
  • A Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
  • A Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
• At least 1 year of experience leveraging open source programming languages for large scale data analysis
• At least 1 year of experience working with machine learning
• At least 1 year of experience utilizing relational databases

Preferred Qualifications:

• PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
• At least 3 years of hands-on experience building, deploying, and maintaining high-scale, production-grade ML systems using MLOps practices, including AWS, Kubeflow, and CI/CD pipelines
• At least 4 years of experience in developing and optimizing state-of-the-art Deep Learning models, specifically Transformer-based architectures, using PyTorch and distributed training with multi-GPU optimization
• At least 4 years of experience with high-performance, distributed data processing for petabyte-scale feature engineering using frameworks like DASK and PySpark

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.

McLean, VA: $197,300 - $225,100 for Mgr, Data Science
New York, NY: $215,200 - $245,600 for Mgr, Data Science
San Jose, CA: $215,200 - $245,600 for Mgr, Data Science

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 AI Engineer, AI Foundations Overview

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.

Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer
McLean, VA: $197,300 - $225,100 for Lead AI Engineer
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).

Incredibly opportunity to work directly with the C-Suite at a massive public communications enterprise to build and implement AI solutions internally!

This Jobot Job is hosted by: Craig Rosecrans
Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.
Salary: $140,000 - $220,000 per year

A bit about us:

Are you passionate about AI, machine learning, and software engineering? Do you have a knack for developing prototypes that could potentially revolutionize the tech services industry? If so, we have an exciting opportunity for you! We are seeking a Senior AI Software Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, software engineering, MLOps, AWS, API, and prototype development. With your skills, you will be instrumental in pushing the boundaries of what’s possible in our industry.

Why join us?

• Competitive Base Salary
• Company paid health plan for employees
• Flexible Hours
• Very generous PTO
• Dental and Vision, FSA, HSA
• Small team, autonomy
• Many more great perks!

Job Details

Responsibilities:
As a Senior AI Software Engineer, you will be responsible for:

1. Developing and maintaining robust AI and machine learning models to solve complex problems in the tech services industry.
2. Designing, building, and deploying effective software solutions in line with our company’s goals and objectives.
3. Leading in the creation and development of innovative prototypes that can be tested and scaled in real-world scenarios.
4. Utilizing your extensive knowledge of AWS and APIs to enhance our products and services.
5. Collaborating with cross-functional teams to ensure our software solutions are of the highest quality and meet customer expectations.
6. Implementing MLOps practices to automate and improve the efficiency of our machine learning lifecycle.
7. Keeping up-to-date with the latest industry trends and technologies in AI, machine learning, and software engineering to continuously improve our products and services.
8. Providing technical leadership and mentoring to junior team members.

Qualifications:
To be considered for the Permanent Senior AI Software Engineer role, you must have:

1. A bachelor’s degree in Computer Science, Engineering, or a related field. A master’s degree or Ph.D. is highly desirable.
2. A minimum of 5 years of experience in software engineering, with a focus on AI and machine learning.
3. Proven experience in prototype development and testing.
4. Extensive knowledge of MLOps practices and techniques.
5. Proficiency in AWS and API integration.
6. Strong programming skills in Python, Java, C++, or other relevant languages.
7. Exceptional problem-solving skills and a keen eye for detail.
8. Excellent communication and teamwork skills.
9. A passion for staying up-to-date with the latest advancements in AI, machine learning, and software engineering.

If you are a driven, innovative, and experienced professional who is ready to take on new challenges, we would love to hear from you. Join us and be part of a team that is shaping the future of the tech services industry!

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:

Build your best future with the Johnson Controls team!

Who we are:

Johnson Controls is global leader in smart, healthy, and sustainable buildings. Our mission is to reimagine the performance of buildings to serve people, places, and the planet. Join a winning team that enables you to build your best future! Our teams are uniquely positioned to support a multitude of industries across the globe. You will have the opportunity to develop yourself through meaningful work projects and learning opportunities. We strive to provide our employees with an experience focused on supporting their physical, financial, and emotional wellbeing. Become a member of the Johnson Controls family and thrive in an empowering company culture where your voice and ideas will be heard – your next great opportunity is just a few clicks away!

As part of Johnson Controls, you will help define how next-generation data centers are cooled. Stack Forging Thermal Solution’s direct liquid cooling products enable high-performance, low-pressure-drop liquid cooling architectures that support the rapid rise of AI and high-density compute.

This role includes business development, account leadership and partner / ecosystem strategy. You will drive adoption of direct liquid cooling across hyperscalers, chipmakers, and server OEMs while shaping how full-rack and system-level cooling is deployed.

What we offer

• Competitive base salary with performance-based incentives tied to strategic account growth.
• Comprehensive benefits including 401K, medical, dental, and vision starting day one.
• Paid time off, holidays, and sick leave provided.
• Direct exposure to emerging AI infrastructure programs and next-generation cooling platforms.
• Opportunity to shape commercialization of Stack Forging Thermal Solutions’s Stack Forging technology within Johnson Controls’ global footprint.

What you will do

Market Development Leadership: Own and expand Stack Forging Thermal Solution’s presence in direct liquid cooling across hyperscalers, chip/semiconductor companies, and server OEMs. Focus on large-scale AI and HPC deployments.

Strategic Account Growth: Build and lead executive relationships. Position Stack Forging Thermal Solutions as a primary thermal partner for next-generation platforms, including CPUs, GPUs, other ASICs, and peripheral systems.

Technology Positioning: Translate Stack Forging Thermal Solutions’s Stack Forging microgeometry architecture into clear customer value. Emphasize lower pressure drop, higher thermal efficiency, and system-level gains such as improved PUE and rack density.

DLC System Expansion: Drive adoption beyond GPUs into full 100% DLC architectures, including peripherals such as VRMs, DIMMs, NICs, and storage. Position Stack Forging Thermal Solutions as a platform solution, not a component vendor.

Program Origination: Working with the Technical Sales team, Identify and secure early-stage design wins. Influence platform specifications and reference designs with OEM and hyperscale partners.

Cross-Functional Execution: Work closely with engineering, product, and JCI teams to align cold plates, CDUs, and facility-level systems into a unified thermal solution.

Commercial Structuring: Lead complex deal structures including MSAs, long-term supply agreements, and co-development programs tied to production scale.

How you will do it

Drive DLC Adoption: Persuasively sell Alloy’s Direct Liquid Cooling portfolio focusing on ROI, energy efficiency, and power density.

Strategic Relationship Management: Act as a trusted advisor to executive and technical stakeholders, anticipating their needs as they transition to Direct Liquid Cooling

Link Performance to Business Outcomes: Tie Stack Forging Thermal Solutions’s products to measurable gains: reduced pumping power, improved thermal margins, higher compute density, and lower total cost of ownership.

Market Leadership: Deeply understand the evolving data center landscape, specifically the cooling requirements for AI and high-performance computing (HPC).

Internal Collaboration: Partner with JCI Cross-Domain Strategic Account Managers and the Technical sales team to integrate our DLC solutions into broader, complex facility infrastructure deals.

Pipeline Excellence: Utilize Salesforce to manage complex, long-cycle sales stages, ensuring accurate forecasting and momentum.

Team Leadership: Lead the opportunity team, coordinating between Technical Sales, Solutions engineering, JCI operations, and external partners to ensure seamless solution delivery.

What we look for

Required

• Bachelor’s degree in Science or related technical field.
• 10+ years in business development, technical sales, or strategic account management.
• Experience scaling products from R&D-to-production in hardware or infrastructure environments.
• Experience engaging with hyperscalers, OEMs, or silicon providers.
• Ability to communicate complex technical concepts to both engineers and executives.

Preferred

• Master’s degree.
• Experience within data center infrastructure, semiconductors, or thermal systems and/or direct experience with liquid cooling, including cold plates, CDUs, or immersion systems.
• Familiarity with AI and HPC infrastructure trends, including rising TDP and rack density constraints.
• Proven understanding of Thermal Management or HVAC systems; specific exposure to liquid cooling technologies is highly preferred.
• Existing relationships within hyperscalers, server OEMs, or chip manufacturers.

Why Johnson Controls?

Johnson Controls’ Stack Forging Thermal Solutions redefines liquid cooling design. By enabling complex internal geometries not possible with traditional manufacturing, this Johnson Controls’ division delivers:

• Lower pressure drop at higher flow rates
• Increased thermal performance at the chip level
• Scalable architectures for full-rack and system cooling

This role provides the opportunity to move the High Performance Compute and Cloud industry from air and partial liquid cooling to fully liquid-cooled data centers, unlocking the next generation of compute performance.

SALARY RANGE: $125,000 - $190,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This role offers a competitive Bonus plan that will take into account individual, group, and corporate performance.  This position includes a competitive benefits package. The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. For details, please visit the About Us tab on the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us

Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future!

This Jobot Job is hosted by: Craig Rosecrans
Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.
Salary: $150,000 - $250,000 per year

A bit about us:

We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role.

Why join us?

• Competitive Base Salary
• Company paid health plan for employees
• Flexible Hours
• Very generous PTO
• Dental and Vision, FSA, HSA
• Small team, autonomy
• Many more great perks!

Job Details

Responsibilities:

• Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation).
• Ensure the robustness, scalability, and enterprise-level security of solutions.
• Collaborate with the data science team to transform prototypes into new products, services, and features.
• Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation.
• Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
• Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data.
• Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices.
• Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus.
• Minimum of 6 years of experience as a Machine Learning Engineer or similar role.
• Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting.
• Proven experience in designing and implementing machine learning solutions at scale on AWS.
• Solid experience in software development with a focus on quality, performance, and scalability.
• Proven ability to design and implement robust data pipelines.
• Strong experience with data modeling, data access, and data storage techniques.
• Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders.
• Strong problem-solving skills, attention to detail, and ability to think creatively.
• Ability to work independently and as part of a team in a fast-paced, dynamic environment.
• Strong passion for learning and adapting to new technologies.
• AWS Certified Machine Learning or similar certification will be a plus.

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:

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 the full business cycle (e.g., pipeline management, forecasting, reporting). Experience managing commercial negotiations and agreements. Preferred Qualifications Experience with consultative selling to executives, asking insightful, visionary 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 strategic business opportunities and challenges; showcasing current technology trends and Google Cloud differentiators. Experience expanding existing accounts, securing new customers, and accelerating consumption business. Experience with complex agreements structuring, negotiating sophisticated commercial agreements, and supporting multi-year engagements. Experience with business and financial acumen (e.g., profit and loss management, accurate forecasting). Experience leading cross-functional teams and partners in project implementation and negotiation. 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), you will serve as a strategic partner to Google Cloud customers in your territory. You will manage the growth strategy for enterprise accounts, engaging customers with consultative value selling methodology. You will drive long-term business growth by gaining a deep understanding of our 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 revenue 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 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 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.

Work on data driven strategies to apply AI and ML to novel drug discovery, at the forefront of biotech innovation.

This Jobot Job is hosted by: Charles Simmons
Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.
Salary: $140,000 - $180,000 per year

A bit about us:

Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, this organization has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. The organization partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients.

Why join us?

You’ll play a central role in shaping the company’s data platform by contributing to ingestion frameworks, orchestration patterns (using Dagster or alternatives like Prefect or Airflow), and dbt-based modeling strategies. This is a high-impact role for an experienced engineer who loves building clean pipelines, understands metadata and observability, and enjoys making data discoverable and trustworthy for analytics, operations, and product use cases.

• Competitive salary and total compensation ranges based on experience
• Work on site in NYC or Boston, or up to 100% from home anywhere in the US.
• Comprehensive health, vision, and dental coverage for individuals and families

Job Details

Job Details:

We are seeking a passionate and talented Senior Data Engineer to join our dynamic team in the scientific industry. The ideal candidate will have a strong background in data engineering and a deep understanding of modern data processing technology stacks. The successful candidate will be responsible for the design, development, testing, and deployment of highly scalable data management systems. This role requires a deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The individual in this role must be comfortable working in a fast-paced and dynamic environment with a high degree of autonomy.

Responsibilities:

1. Design, construct, install, test, and maintain highly scalable data management systems.
2. Ensure systems meet business requirements and industry practices.
3. Build high-performance algorithms, prototypes, predictive models, and proof of concepts.
4. Research opportunities for data acquisition and new uses for existing data.
5. Develop data set processes for data modeling, mining, and production.
6. Integrate new data management technologies and software engineering tools into existing structures.
7. Create custom software components and analytics applications.
8. Install and update disaster recovery procedures.
9. Collaborate with data architects, modelers, and IT team members on project goals.
10. Employ a variety of languages and tools to marry systems together.
11. Recommend ways to improve data reliability, efficiency, and quality.
12. Use Dagster or equivalent for creating data pipelines and workflows.

Qualifications:

? 5+ years of experience in data engineering or related fields.
? Strong hands-on experience with Python, SQL, and dbt.
? Proficiency with orchestration tools like Dagster, Prefect, or Airflow.
? Experience building data ingestion pipelines from REST APIs, flat files, and cloud storage (e.g., S3).
? Familiarity with Snowflake and its ecosystem-warehouses, cost optimization, RBAC, data sharing.
? Clear understanding of metadata, observability, and testing for data pipelines.
? You enjoy partnering with stakeholders and understand the importance of clean, discoverable data.
? Bonus: experience working in pharma, healthcare, or regulated data environments.
? Bonus: experience working with unstructured data and AI Data Engineering (OCR, NER, vector databases, graph databases)

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:

Opportunity to join the industries top AI Consulting firm Working with the world’s top brands to execute data initiatives in artificial intelligence FULLY REMOTE

This Jobot Job is hosted by: Craig Rosecrans
Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.
Salary: $150,000 - $185,000 per year

A bit about us:

We are seeking a dynamic and experienced Senior Machine Learning (ML) Solution Architect to join our team. This is a unique opportunity to shape the future of our ML applications and contribute to the development of our technology stack. The successful candidate will be responsible for designing, implementing, and maintaining ML solutions that will have a direct impact on our business and customers. This is a permanent position that offers a challenging and rewarding work environment, where innovation and initiative are highly valued.

Why join us?

• Competitive Base Salary
• Company paid health plan for employees
• Flexible Hours
• Very generous PTO
• Dental and Vision, FSA, HSA
• Small team, autonomy
• Many more great perks!

Job Details

Responsibilities:

• Design and build robust and scalable ML solutions to meet business requirements.
• Work closely with data scientists and engineers to implement and deploy scalable ML solutions into production.
• Develop and maintain data pipelines for large scale data processing.
• Use tools such as Spark, Snowflake, Python, and Scala to handle data extraction, cleaning, and transformation.
• Implement best practices for ML development, including testing, documentation, and version control.
• Collaborate with cross-functional teams to understand their needs and translate them into ML solutions.
• Provide consulting services to internal and external stakeholders on ML best practices and solutions.
• Use Terraform, Docker, and other tools to manage infrastructure and deploy ML models.
• Implement and manage CI/CD pipelines for ML solutions.
• Stay up-to-date with the latest developments in the field of ML and introduce new technologies and methodologies as appropriate.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• Minimum 5 years of experience in designing and implementing ML solutions.
• Strong programming skills in Python and Scala.
• Experience with data pipeline tools such as Spark and Snowflake.
• Proven experience in consulting, with excellent communication and problem-solving skills.
• Experience with infrastructure management tools such as Terraform and Docker.
• Experience in setting up and managing CI/CD pipelines.
• Strong understanding of ML algorithms and principles, as well as the ability to apply them in real-world situations.
• Excellent analytical and problem-solving skills, with the ability to handle complex data and ML challenges.
• Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
• Self-motivated and proactive, with the ability to work independently and as part of a team.
• Strong desire to learn and stay updated with the latest advancements in the field of ML.

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:

Join one of the fasted growing AI/ML services companies!

This Jobot Job is hosted by: Adam Bennett
Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.
Salary: $140,000 - $190,000 per year

A bit about us:

We are a data and AI services company that has been growing tremendously over the last 10 years. We anticipate growing 40% yoy over the next 5 years and are looking to bring on solutions architects who have worked with enterprise customers to build out applications and utilize data in a more efficient way.

Why join us?

Join us for the growth and opportunity to join a best-in-class organization. As we grow there will be opportunities to work with the biggest commercial companies to support their adoption and growth into AI/ ML applications.

Job Details

This job is 100% remote but will require travel to customer sites throughout the US.

We are looking for someone who has the following:

At least 5 years as a customer-facing solutions architect.

Experience with enterprise customers and supporting product adoption and services expansion.

Must be able to write Python or Scala.

With your experience, we expect mastery over SQL and the ability to troubleshoot distributed databases.

Experience working with a wide variety of data sources, including MySQL, Kafka, and business app’s like SAP and ORCL.

Finally, must have experience with Databricks OR Snowflake OR Redshift, or EMR.

If this aligns with the work you’ve done in the past, please apply, or email Adam and put “Solutions Arch” in the subject line. Thank you!

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:

100% remote role working at a Series A AI startup!

This Jobot Job is hosted by: Brandon Bays
Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.
Salary: $175,000 - $210,000 per year

A bit about us:

Location: 100% remote any time zone in the United States

Compensation: $170-225K base salary + equity

We are working with a Series A LegalTech AI startup that’s making major strides in modernizing enterprise law firms’ deal processes through powerful backend infrastructure and cutting-edge AI integration.

Tech Stack: Golang, Postgres, GCP, Kubernetes, React, Temporal, GitOps, ArgoCD, OpenAI, Anthropic

Why join us?

• Remote work setup with an internationally distributed team
• Work on greenfield projects with wide scope and autonomy
• Ship products used directly by enterprise customers
• Join a senior, collaborative engineering team focused on pragmatic execution
• Chance to work in a Series A funded startup on the ground level with high level of agency and ownership

Job Details

Ideal Background:

• 5-10 years of experience as a backend or backend leaning fullstack engineer
• Experience with Golang preferred, open to Python/Java/C/C++/C#/Rust as well
• Experience with LLMs / AI Agents or a true passion/interest to get in this space

Not a Fit If:

• Only large-company experience with no startup/small team exposure
• Consulting background
• Bootcamp-only education or less than 4 years experience
• No interest in Gen AI / LLMs, etc

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:

Fully remote, exciting greenfield AI buildout. Well-funded, room for growth!

This Jobot Job is hosted by: Grant Greenhalgh
Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.
Salary: $140,000 - $170,000 per year

A bit about us:

We’re an early-stage AI startup on a mission to redefine how users interact with intelligent systems. We’re building something brand new and we’re looking for multiple engineers to scale our backend services.

Why join us?

• Fully Remote
• Well-funded
• Senior team of proven engineers
• Autonomy and upward mobility
• Competitive compensation
• Lucrative Equity
• Great healthcare benefits

Job Details

We’re looking for a Backend Scala Engineer to help architect and scale a next-gen AI platform. You’ll join a high-caliber engineering team building intelligent systems that integrate data, inference engines, and scalable APIs to power AI workflows.

What You’ll Do:

• Design and implement scalable Scala services that handle high-throughput data processing and AI orchestration
• Build APIs and microservices to support inference pipelines, data ingest, and model lifecycle events
• Collaborate with ML engineers to productize models into production-ready services
• Contribute to system architecture, database design, and CI/CD automation

Tech Stack:

• Languages: Scala (primary), Python (secondary)
• Frameworks/Build Tools: Akka, Play, ZIO, SBT
• Infra: AWS, Docker, Kafka, Postgres, GitHub Actions

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:

Hands-On Principal Architect Needed for High-Growth Data Consultancy

This Jobot Job is hosted by: Robert Donohue
Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.
Salary: $170,000 - $225,000 per year

A bit about us:

We are a leading modern data consultancy helping enterprise clients solve their toughest data challenges through cloud, AI, analytics, and engineering solutions. Our partnerships span top platforms including Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, Fivetran, and dbt Labs.

Our team operates in a remote-first environment across the United States, Latin America, and India. We hire top performers who thrive in a culture built on ownership, trust, innovation, and autonomy.

Recognized as an industry leader with multiple partner awards, hundreds of advanced certifications, and a reputation for delivering measurable client outcomes.

Why join us?

• Competitive Compensation: $170,000 - $225,000 base salary + Bonus
• Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide
• Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities
• Own strategic relationships and help expand enterprise accounts
• Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more
• Award-Winning Culture: Collaborative, inclusive, and committed to professional development
• Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation
• Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks

Job Details

We are seeking a Principal Solutions Architect who can operate as both a trusted technical advisor and a strategic growth partner. This role is ideal for someone with a strong hands-on background in Data Engineering or Solutions Architecture who has also succeeded in pre-sales, post-sales, account expansion, or client consulting environments.

What You’ll Do
Client Engagement & Growth

• Build executive and stakeholder relationships within key accounts
• Understand long-term business priorities and create technical roadmaps
• Identify expansion opportunities where additional services or solutions add value
• Partner with leadership and sales teams to grow strategic accounts
• Lead responses to RFPs, RFIs, proposals, and solution presentations
• Develop compelling business cases and technical value propositions

Technical Leadership

• Architect end-to-end modern data solutions for enterprise clients
• Lead discovery sessions, assessments, proofs of concept, and solution design
• Guide implementations with focus on scalability, security, and performance
• Mentor engineers and architects across delivery teams
• Translate complex business problems into practical technical solutions

Required Background

• 8+ years in Solutions Architecture, Data Engineering, or similar client-facing technical roles
• Experience in pre-sales, post-sales, consulting, customer success engineering, or account growth
• Strong hands-on experience with cloud data platforms such as Snowflake, Databricks, Amazon Web Services, Microsoft Azure, or Google Cloud
• Strong coding skills in Python, Java, and/or Scala
• Advanced SQL optimization and data modeling skills
• Experience presenting to technical and business stakeholders
• Ability to lead technical documentation, roadmaps, and architecture artifacts
• Bachelor’s degree in Computer Science or related field

Nice to Have

• Experience with Kafka, Spark, Airflow, dbt, Fivetran, Matillion, NiFi
• Experience with streaming, lakehouse, medallion, or enterprise migration initiatives
• Prior success expanding accounts or managing strategic customers
• Cloud certifications or advanced platform credentials

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:

Description:

Position Summary

The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort.

The Senior Agentic AI Specialist will work closely with MFM’s Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality.

Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment.

Application Requirements

Cover Letter and Resume:

Please include the following in your cover letter

• A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality
• Your approach to reducing incorrect or unsupported outputs
• An example of how you supported other developers or teams in adopting AI capabilities
• Your physical remote work location state
• Salary expectations

Responsibilities:

• Platform Architecture & Evolution: Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes.
• Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production.
• RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources.
• Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior.
• Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns.
• Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate.
• Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling.
• Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production.
• Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed.
• Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches.
• Research & Evaluation: Stay current with new models and tools. Evaluate them in a structured way and recommend adoption where appropriate.

Requirements:

Education & Certification

• College degree or Programming Certification (preferred)
• 5+ years of equivalent work experience

Required Experience

• Experience building or working with AI/LLM-based systems in a production or near-production environment
• Strong understanding of agent-based patterns (ReAct, tool usage, etc.)
• Experience with retrieval-based systems (RAG), vector stores, or search pipelines
• Familiarity with evaluating non-deterministic system outputs
• Experience improving system quality through testing and iteration
• Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred
• Ability to work across technologies and integrate AI solutions into an existing enterprise environment

Preferred Experience

• Experience working with multiple LLM providers
• Familiarity with emerging tools and frameworks in the agentic AI space
• Experience integrating with enterprise systems and data sources
• Experience mentoring or supporting other developers

Personal Attributes

• Strategic thinker with strong analytical and problem-solving skills
• Technically proficient with broad systems knowledge
• Excellent interpersonal, written, and verbal communication skills
• Self-directed, collaborative, and highly organized
• Customer-oriented and able to navigate high-pressure environments
• Flexible and adaptable in regards to learning and understanding new technologies.
• Exceptional organizational skills and ability to keep track of multiple projects at a time.
• Ability to conduct research into software-related issues and products.
• Technically proficient.
• Exceptional attention to detail.
• Ability to work both independently and in a team-oriented, collaborative environment.

Work Conditions

• Remote work environment following core hours 8AM-5PM Central Time
• Overtime may be required to meet project deadlines or monitor system processes.
• Sitting for extended periods of time.
• Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices.
• Minimal travel will be required for the purpose of off-site software training and team meetings.
• Physically able to participate in virtual and in-person training sessions, presentations, and meetings.

PIcbe-4236

REMOTE opportunity, Excellent Benefits, Cutting Edge Projects, and MORE!

This Jobot Job is hosted by: Caitlyn Hardy
Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.
Salary: $110,000 - $140,000 per year

A bit about us:

Are you an experienced Data Engineer looking to make an impact on our healthcare system while utilizing advancements in AI?

We’re a technology-driven organization focused on bringing transparency and efficiency to healthcare payments. Our purpose is to drive better outcomes for both providers and payers by reducing waste and improving collaboration across the healthcare system.

As a REMOTE Data Engineer, you will play a crucial role in building, optimizing, and maintaining data solutions that support our growing suite of products and services. You’ll work closely with senior engineers and business stakeholders to design robust data workflows, ensure data accuracy, and help guide technical decisions across various projects.

This role combines hands-on development with opportunities for leadership and mentorship, contributing to the strategic growth of our data capabilities.

Why join us?

• Remote Culture - work from anywhere in the US!
• Excellent Medical, Dental, and Vision
• 401k with company match
• PTO
• Paid Sick Leave
• Paid Holidays
• Parental Leave
• Tuition Reimbursement Plan

Job Details

Key Responsibilities

• Develop, test, and maintain scalable data pipelines and ETL processes.
• Collaborate on the design of system architecture and data flow strategies.
• Partner with business units and technical teams to resolve data issues and support ongoing analytics efforts.
• Perform data wrangling tasks such as ingestion, transformation, and cleaning to enable meaningful analysis.
• Convert complex business needs into clear technical plans and data-driven solutions.
• Participate in peer code reviews and share best practices across the engineering team.
• Produce and maintain documentation related to data workflows, architecture, and models.
• Create custom reports and visualizations for both internal stakeholders and external partners.
• Assist in managing and troubleshooting a large volume of data pipelines.
• Work alongside software engineers to ensure data consistency within applications.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or related discipline; equivalent experience considered.
• At least 3 years of professional experience in data engineering or related fields.
• Proficient in tools and languages such as Python, T-SQL, SQL Server Management Studio (SSMS), Azure Data Factory, and Databricks.
• Solid experience in data integration, ETL development, and building data warehouses.
• Familiarity with data governance standards and security protocols, especially in healthcare settings.
• Strong analytical skills with the ability to turn raw data into actionable insight.

Preferred Experience

• Comfortable leading junior engineers or interested in mentoring.
• Knowledge of healthcare datasets and industry-specific data protections.
• Prior experience with cloud platforms, especially Microsoft Azure.
• Exposure to agile methodologies and tools such as JIRA, Bitbucket, or Red-Gate.

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:

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 the full business cycle (e.g., pipeline management, forecasting, reporting). Experience managing commercial negotiations and agreements. Preferred Qualifications Experience leading cross-functional teams and partners in project implementation and negotiation. Experience with consultative selling to executives, asking insightful, visionary 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 strategic business opportunities and challenges while showcasing current technology trends and Google Cloud differentiators. Experience supporting large enterprise organizations, expanding existing accounts, securing new customers, and accelerating consumption business. Experience with complex agreement structuring, negotiating sophisticated commercial agreements, and supporting multi-year engagements. Experience with business and financial acumen. 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 supporting Strategic Accounts, you will be a strategic partner, leading the growth strategy for our most strategic customers and partners. You will engage customers with consultative value selling methodology to transform their business. Within a large account team, you will harness all of Google's assets to support the customers' success. You will be invested in the customers' industry, their engaged environment, technical challenges, financial models, and business goals. You will leverage experience engaging with senior executives to establish and build relationships. In this role, you will drive 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 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 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 $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 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. Position incremental Google Cloud services, build new customer products on Google Cloud, and incentivize/oversee cloud migrations. Support customer sales initiatives, exploring vertical market opportunities, identifying partnership opportunities, and providing delivery services to achieve outcomes. Leverage emerging technology trends, market analysis, and knowledge of cloud solutions to showcase how Google Cloud can transform customers' business.

Competitive weekly pay, health benefits, 401k, and 100% REMOTE!

This Jobot Consulting Job is hosted by: Alex Luhrsen
Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.
Salary: $40 - $60 per hour

A bit about us:

A rapidly scaling AI and hardware-focused technology company that’s building highly complex systems at the intersection of software, hardware, and artificial intelligence. Founded in 2015, the company is well-established, and continuing to grow aggressively as demand for its technology increases.

Job Title: Technical Recruiter - Hardware or Software
Compensation: $40-$60/hour, depending on experience
Location: Sunnyvale, CA - 100% Remote (Office Optional)
Hours: Full-time (40 hours/week)
Type: Long-term contract with potential for permanent hire

Why join us?

• Full-time contract (40 hours/week)
• 100% remote; office available for those who prefer on-site collaboration
• Competitive hourly rate ($40-$60/hour, based on experience)
• Health benefits available through agency
• Long-term engagement with potential for permanent conversion based on performance and business needs

Job Details

We are hiring multiple Technical Recruiters with a mix of hardware and software focus to help scale critical engineering teams.

As a Technical Recruiter, you will play a pivotal role in shaping the talent acquisition strategy of our tech services company. You will be responsible for sourcing, attracting, and hiring top-notch hardware and software professionals who are the backbone of our innovative technology solutions. This role is perfect for someone who thrives in a fast-paced, high-volume environment, and has a keen eye for identifying talent in the fields of software development, AI, mechanical and electrical engineering, and more.

Responsibilities:

• Develop and execute recruiting and sourcing strategies to attract top-tier talent in the tech industry, with a focus on software engineers, hardware engineers, AI specialists, and mechanical electrical engineers.
• Partner with hiring managers and HR teams to understand the specific needs of each role and develop a tailored recruiting strategy.
• Leverage a variety of sourcing techniques, including social media, networking, employee referrals, job postings, and more to find high-quality candidates.
• Conduct initial screening interviews to assess technical and cultural fit.
• Manage the candidate experience throughout the recruitment process, ensuring a positive and professional interaction for each candidate.
• Maintain accurate and up-to-date candidate information in our applicant tracking system.
• Stay updated on industry trends, market intelligence, and innovative recruiting techniques to attract and evaluate top talent.
• Participate in special projects/recruiting initiatives, including assessment of best practices in interviewing techniques, leveraging of internal sources of talent, and identification of top performers for senior-level openings.

Qualifications:

• Bachelor’s degree in Human Resources, Business, or a related field preferred.
• Minimum 3+ years of experience in technical recruitment, specifically within the software and hardware industry.
• Proven experience sourcing and recruiting at all levels, ideally in a high-volume, fast-paced startup environment.
• Strong knowledge of AI recruiting, and experience sourcing mechanical and electrical engineers.
• Solid understanding of HR practices and labor legislation.
• Excellent communication and interpersonal skills, with a proven ability to build relationships with candidates and hiring managers.
• Strong decision-making skills and ability to manage multiple priorities effectively.
• Proficient in using HR software and candidate databases.
• Exceptional negotiation skills, with a proven track record of successful placements.
• Detail-oriented with excellent organizational and documentation skills.
• Strong analytical mindset and problem-solving abilities.

If this sounds like a good fit, apply online or send your resume directly to Jennifer at !

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:

Shape the Future of Data & AI - Architect Solutions That Scale

This Jobot Job is hosted by: Robert Donohue
Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.
Salary: $140,000 - $160,000 per year

A bit about us:

We’re a global leader in data and AI/ML services and one of the fastest-growing companies in the modern data stack space. We partner with top cloud platforms like Snowflake, AWS, Azure, GCP, Databricks, Fivetran, Pinecone, Glean, and dbt to deliver innovative data, cloud, and machine learning solutions that help enterprises unlock the true power of their data.

With a decade of 40%+ year-over-year growth, we’ve become a 6x Snowflake Partner of the Year () and earned accolades as an award-winning workplace in the US, LATAM, and India.

We’re a remote-first organization with a collaborative, casual culture that prizes autonomy, creativity, and curiosity. You’ll work alongside some of the brightest minds in data engineering and AI/ML - all driven by a shared passion to solve the toughest data challenges for leading global enterprises.

Why join us?

• Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience)
• Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide
• Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities
• Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more
• Award-Winning Culture: Collaborative, inclusive, and committed to professional development
• Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation
• Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks

Job Details

We’re seeking a Solutions Architect who thrives at the intersection of data engineering and AI/ML solutions. This is a customer-facing, technical leadership role where you’ll design, build, and deliver scalable cloud and data architectures for enterprise clients.

What You’ll Do:

• Design and implement end-to-end data and AI/ML solutions that are secure, performant, and scalable
• Collaborate with enterprise customers to understand their challenges and translate business needs into technical roadmaps
• Lead architecture discussions, conduct POCs, create roadmaps, diagrams, and solution documentation
• Work hands-on with modern data stack tools like Snowflake, Databricks, AWS, Azure, GCP, and streaming/integration tech (Kafka, Fivetran, dbt, Airflow)
• Support product adoption and services expansion by building trust with customer teams and executives
• Guide and mentor engineers, helping elevate their technical expertise
• Deliver presentations and demos that clearly communicate solutions to both technical and non-technical audiences

What You Bring:

• 8+ years as a Solutions Architect/Data Engineer designing and implementing production-grade solutions
• 5+ years customer-facing experience with enterprise clients
• Strong proficiency in Python, Java, or Scala and advanced SQL skills
• Hands-on experience with Snowflake, Databricks, Redshift, or EMR and distributed/cloud data platforms (AWS, Azure, GCP)
• Familiarity with streaming tools (Kafka, Spark), orchestration (Airflow), and data integration technologies (Fivetran, Matillion, ADF)
• Excellent communication skills for collaborating with clients and presenting solutions
• Bachelor’s degree in Computer Science or related field (or equivalent experience)

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:

Join Jobot! We are hiring Experienced Agency Recruiters!

This Jobot Job is hosted by: Alyssa Perkins
Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.
Salary: $75,000 - $150,000 per year

A bit about us:

What is Jobot? Jobot is a recruiting and consulting firm that combines the latest in AI technology with our custom software, Jax and Jobot Pros (experienced recruiters) to fill jobs and provide incredible service to our clients and candidates in the process.

Why join us?

We have been voted as a Best Place to Work by Inc., Forbes, and Fortune. We put people first and believe that culture is key. We are a group of high-effort givers who show up for each other, our candidates, and our clients, each and every day.

We use technology and culture to give you the ability to succeed as a recruiter, earn a great living and get this take every other Friday off. Yes, every other Friday. That means you have 26 3-day weekends a year. Twenty-six!

Why? Because we like you. Plus, we believe in a culture where we foster mutual respect.

Where? Remote! Anywhere in the United States with great WiFi!

Events? We have events each year, designed to celebrate all of the hard work and success.

Holidays? Glad you asked. We take our two week “Long Winters Nap” at the end of the year. Why? Recharge with your family, friends, and pets to come back refreshed and ready to find good people good jobs.

Partnership opportunity? Why, yes, again! Every person at Jobot has value and has created value. As an Employee-Owned Company, you are integral to our success and we believe you should share in the good times, too.

Income? We offer a compensation plan that rewards your talent and drive. You’ll start with a competitive base salary and have the opportunity to earn commissions, plus quarterly and annual bonuses. Your performance fuels your earning potential, giving you the chance to exceed expectations and achieve financial success without limits.

Benefits? We got you covered. Medical, Dental + Vision. 100% paid for you, 50% of your dependents. For Medical, you choose PPO or HMO of our Platinum Plan.

PTO? We have an unlimited PTO plan!

Job Details

What You’ll Be Doing

1. New Business Development: Using your top-notch sales skills to bring in and retain clients in the technology industry
2. Recruitment: Utilizing our premiere tech stack including our custom built ATS, Jax, to find candidates who match your clients open positions
3. Lead with Kindness + Respect

What We’re Looking For

Required:

1. Staffing Agency Experience: Currently or most recently employed at a staffing agency with 2+ years of experience in the staffing industry.
2. Full-Desk Recruiting Expertise: Proven ability to manage both client development and candidate placement.
3. Pipeline Development & Relationship Management: Skilled in building and maintaining a strong candidate and client pipeline and fostering long-term professional relationships.
4. Strategic Prospecting & Account Management: Ability to prioritize outreach efforts, maintain trust, and expand relationships through effective strategies.
5. Performance & Revenue Accountability: Demonstrated success in meeting or exceeding placement goals, revenue targets, and other key performance metrics.

Preferred:

1. Industry Specialization: Experience recruiting in technology.
2. ATS Proficiency: Skilled in using applicant tracking systems (e.g., Bullhorn, Salesforce, etc.) for sourcing and reporting.
3. Revenue & Performance Analytics: Ability to understand and manage net billing, contract vs. permanent placement revenue, and gross profit tracking, along with reporting and analyzing year-to-date billing and historical placement metrics

Think we have a match? Make sure to highlight your manufacturing industry experience in our instant interview questions when you apply!

We are helping good people get good jobs. We are Jobot, Join Us!

Think we have a match? Make sure to highlight your technology industry experience in our instant interview questions when you apply!

We are helping good people get good jobs. We are Jobot, Join Us!

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:

Join Jobot! We are hiring Experienced Agency Recruiters!

This Jobot Job is hosted by: Alyssa Perkins
Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.
Salary: $75,000 - $150,000 per year

A bit about us:

What is Jobot? Jobot is a recruiting and consulting firm that combines the latest in AI technology with our custom software, Jax and Jobot Pros (experienced recruiters) to fill jobs and provide incredible service to our clients and candidates in the process.

Why join us?

We have been voted as a Best Place to Work by Inc., Forbes, and Fortune. We put people first and believe that culture is key. We are a group of high-effort givers who show up for each other, our candidates, and our clients, each and every day.

We use technology and culture to give you the ability to succeed as a recruiter, earn a great living and get this take every other Friday off. Yes, every other Friday. That means you have 26 3-day weekends a year. Twenty-six!

Why? Because we like you. Plus, we believe in a culture where we foster mutual respect.

Where? Remote! Anywhere in the United States with great WiFi!

Events? We have events each year, designed to celebrate all of the hard work and success.

Holidays? Glad you asked. We take our two week “Long Winters Nap” at the end of the year. Why? Recharge with your family, friends, and pets to come back refreshed and ready to find good people good jobs.

Partnership opportunity? Why, yes, again! Every person at Jobot has value and has created value. As an Employee-Owned Company, you are integral to our success and we believe you should share in the good times, too.

Income? We offer a compensation plan that rewards your talent and drive. You’ll start with a competitive base salary and have the opportunity to earn commissions, plus quarterly and annual bonuses. Your performance fuels your earning potential, giving you the chance to exceed expectations and achieve financial success without limits.

Benefits? We got you covered. Medical, Dental + Vision. 100% paid for you, 50% of your dependents. For Medical, you choose PPO or HMO of our Platinum Plan.

PTO? We have an unlimited PTO plan!

Job Details

What You’ll Be Doing

1. New Business Development: Using your top-notch sales skills to bring in and retain clients in the manufacturing industry
2. Recruitment: Utilizing our premiere tech stack including our custom built ATS, Jax, to find candidates who match your clients open positions
3. Lead with Kindness + Respect

What We’re Looking For

Required:

1. Staffing Agency Experience: Currently or most recently employed at a staffing agency with 2+ years of experience in the staffing industry.
2. Full-Desk Recruiting Expertise: Proven ability to manage both client development and candidate placement.
3. Pipeline Development & Relationship Management: Skilled in building and maintaining a strong candidate and client pipeline and fostering long-term professional relationships.
4. Strategic Prospecting & Account Management: Ability to prioritize outreach efforts, maintain trust, and expand relationships through effective strategies.
5. Performance & Revenue Accountability: Demonstrated success in meeting or exceeding placement goals, revenue targets, and other key performance metrics.

Preferred:

1. Industry Specialization: Experience recruiting in manufacturing or similar skilled trades.
2. ATS Proficiency: Skilled in using applicant tracking systems (e.g., Bullhorn, Salesforce, etc.) for sourcing and reporting.
3. Revenue & Performance Analytics: Ability to understand and manage net billing, contract vs. permanent placement revenue, and gross profit tracking, along with reporting and analyzing year-to-date billing and historical placement metrics

Think we have a match? Make sure to highlight your manufacturing industry experience in our instant interview questions when you apply!

We are helping good people get good jobs. We are Jobot, Join Us!

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:

Software Security Firm looking for Solutions Architect

This Jobot Consulting Job is hosted by: John Erwin
Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.
Salary: $70 - $125 per hour

A bit about us:

We are a Software Consulting firm working with enterprise and start companies that are AI driven and we are developing some of the most cutting edge software/security solutions platforms in the world.

Why join us?

• Competitive Compensation
• Work on incredible projects that are fun and challenging
• Full Benefits (Medical, Vision, Dental)
• 401k
• Long term Contract to Hire opportunity

Job Details

Delivery & Account Ownership

• Own end-to-end service delivery outcomes for assigned accounts, ensuring quality, scope adherence, and client satisfaction.
• Function as a Tier 4 Hypercare Engineer for both service interruption escalations and bridging the gaps that often arise during vendor support issues.
• Serve as the primary technical point of contact for key customers, building trusted relationships that drive retention and expansion.
• Manage both internal and external technical resources to create exceptional customer and service outcomes.
• Identify and pursue opportunities to grow services revenue within existing accounts through consultative engagement.
• Provide the team with expert problem-solving skills and outside-the-box approaches to existing dilemmas, which often include architectural redesigns.
• Contribute directly to billable work, maintaining a meaningful utilization target.

Technical Expertise

• Architect and implement security solutions spanning SIEM deployment and migration, SOAR automation, SOC operations, MDR, and custom detection engineering.
• Design and execute threat hunting methodologies and develop tailored detection content aligned to customer environments and threat models.
• Advise on and implement security program strategy, including risk frameworks, maturity assessments, and roadmap development.
• Support SaaS security platform implementations (CrowdStrike, Sentinel, Splunk, Chronicle, and similar).
• Apply foundational networking principles and cloud security best practices across AWS, Azure, and GCP environments.
• Stay current on AI-driven security capabilities and emerging cyber risk trends, translating these into practical client guidance.

Services Development

• Contribute to the definition and refinement of service offerings, packaging technical capabilities into repeatable, sellable engagements.
• Inform go-to-market positioning based on frontline delivery experience and client feedback.
• Help establish and evolve delivery methodologies, playbooks, and quality standards.

WHAT YOU BRING

• 8+ years in cybersecurity with progressive experience across multiple security domains.
• Demonstrated ability to lead technical teams while maintaining hands-on delivery contributions.
• Deep familiarity with at least three of the following: SIEM architecture and migration, SOAR/automation design, detection engineering, threat hunting, SOC operations, MDR.
• Working knowledge of security program development, cyber risk frameworks, and compliance landscapes.
• Experience with major security platforms (CrowdStrike, Splunk, Microsoft Sentinel, Palo Alto, Chronicle, or similar).
• Strong understanding of networking fundamentals (TCP/IP, DNS, firewall architecture, segmentation) and cloud infrastructure security.
• Proven track record of managing client relationships and expanding services revenue within accounts.
• Comfort operating in a services environment with utilization expectations and billable targets.
• Exceptional communication skills able to translate complex technical concepts for executive and technical audiences alike.
• A fast learner who thrives in ambiguity and can ramp quickly on unfamiliar technologies or domains.

NICE TO HAVE

• Experience in a professional services, consulting, or MSSP environment.
• Familiarity with government contracting and compliance frameworks (FedRAMP, CMMC, NIST 800-171).
• Relevant certifications (CISSP, CISM, GIAC, CrowdStrike CCFA/CCFR, Splunk, Azure/AWS Security).
• Background in AI/ML applications within cybersecurity.
• Prior P&L or revenue ownership experience.

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:

Shape the Future of Data & AI - Architect Solutions That Scale

This Jobot Job is hosted by: Robert Donohue
Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.
Salary: $140,000 - $160,000 per year

A bit about us:

We’re a global leader in data and AI/ML services and one of the fastest-growing companies in the modern data stack space. We partner with top cloud platforms like Snowflake, AWS, Azure, GCP, Databricks, Fivetran, Pinecone, Glean, and dbt to deliver innovative data, cloud, and machine learning solutions that help enterprises unlock the true power of their data.

With a decade of 40%+ year-over-year growth, we’ve become a 6x Snowflake Partner of the Year () and earned accolades as an award-winning workplace in the US, LATAM, and India.

We’re a remote-first organization with a collaborative, casual culture that prizes autonomy, creativity, and curiosity. You’ll work alongside some of the brightest minds in data engineering and AI/ML - all driven by a shared passion to solve the toughest data challenges for leading global enterprises.

Why join us?

• Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience)
• Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide
• Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities
• Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more
• Award-Winning Culture: Collaborative, inclusive, and committed to professional development
• Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation
• Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks

Job Details

We’re seeking a Solutions Architect who thrives at the intersection of data engineering and AI/ML solutions. This is a customer-facing, technical leadership role where you’ll design, build, and deliver scalable cloud and data architectures for enterprise clients.

What You’ll Do:

• Design and implement end-to-end data and AI/ML solutions that are secure, performant, and scalable
• Collaborate with enterprise customers to understand their challenges and translate business needs into technical roadmaps
• Lead architecture discussions, conduct POCs, create roadmaps, diagrams, and solution documentation
• Work hands-on with modern data stack tools like Snowflake, Databricks, AWS, Azure, GCP, and streaming/integration tech (Kafka, Fivetran, dbt, Airflow)
• Support product adoption and services expansion by building trust with customer teams and executives
• Guide and mentor engineers, helping elevate their technical expertise
• Deliver presentations and demos that clearly communicate solutions to both technical and non-technical audiences

What You Bring:

• 8+ years as a Solutions Architect/Data Engineer designing and implementing production-grade solutions
• 5+ years customer-facing experience with enterprise clients
• Strong proficiency in Python, Java, or Scala and advanced SQL skills
• Hands-on experience with Snowflake, Databricks, Redshift, or EMR and distributed/cloud data platforms (AWS, Azure, GCP)
• Familiarity with streaming tools (Kafka, Spark), orchestration (Airflow), and data integration technologies (Fivetran, Matillion, ADF)
• Excellent communication skills for collaborating with clients and presenting solutions
• Bachelor’s degree in Computer Science or related field (or equivalent experience)

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: