About the Company

Vibrant VC-backed marketing platform

Industry
Computer Software

Type
Privately Held, VC-backed

Founded
2022

Employees
11-50

Funding
$11-$25 million

About the Role

The Company is seeking a Head of Product Experimentation and Machine Learning, also known as a Staff Data Scientist, to take on a pivotal role in the technical and strategic ownership of the product experimentation and evaluation stack. The successful candidate will be responsible for designing, running, and scaling machine-learning-driven experiments with the goal of enhancing various aspects of the platform, including ordering accuracy, automation quality, conversion, reliability, and merchant success. This role demands a blend of strategic and hands-on work, with a focus on turning ideas into controlled experiments, building predictive models, and translating results into product and roadmap decisions. The Head will also be expected to lead and mentor a team of data scientists and analysts, ensuring the highest standards of experimentation, modeling, and evaluation are maintained across the organization. Applicants must have 8-12+ years of experience in data science, machine learning, or applied experimentation, with a proven track record in product experimentation and A/B testing. A strong background in machine learning, statistical modeling, and causal inference is essential, as is experience in building and evaluating predictive models in production environments. The role requires excellent coding skills in Python (or similar), strong SQL, and the ability to connect technical findings to product and business outcomes. The ideal candidate will have experience with experiment platforms, deploying ML models into high-volume systems, and working with NLP, LLMs, or automation systems. The Head will be instrumental in driving experimentation at scale, balancing speed, rigor, and business impact in a fast-moving environment.

Travel Percent
Less than 10%

Functions

• Data Management/Analytics
• Product Management

Confidential

Intro

Are you ready to explore a world of possibilities, both at work and duringyour time off? Join our American Airlines family, and you’ll travel the world, grow your expertise and become the best version of you.  As you embark on a new journey, you’ll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life.  Feel free to enrich both your personal and work life and hop on board!

Why you’ll love this job

• As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline.

What you’ll do

As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced.  Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.

• The Manager, AI Engineering – Agent Engineering manages a team of AI engineers responsible for designing, building, and operating AI agents that work directly with business partners
• You will partner closely with business and technology stakeholders to identify high-value opportunities, translate workflows into agent capabilities, and deliver production-grade systems with strong governance, observability, and responsible AI practices.
• Lead the end-to-end development of agentic systems: intent detection, planning, tool use, memory patterns, retrieval augmentation (RAG), and multi-step workflow orchestration.
• Define and enforce reference architectures and standards for agent frameworks, tool APIs, prompt/version management, and deployment patterns.
• Ensure agent designs meet requirements for reliability, latency, cost efficiency, and maintainability in production environments.
• Work directly with business partners to understand workflows, constraints, and success metrics; translate needs into agent roadmaps and well-defined requirements.
• Manage stakeholder expectations with clear communication, trade-offs, and transparent progress reporting
• Implement safeguards for privacy, security, and responsible AI: data handling, access controls, content filtering, audit logging, and human-in-the-loop controls where appropriate
• Continuously optimize performance across accuracy, safety, latency, and cost.
• Exhibits strong business and leadership skills, deep technology perspective to guide solutions, and strong communication skills to coordinate with Engineers to ensure they understand business needs and objectives, as well as technical requirements of products
• Collaborates with Business and IT leadership to execute and communicate organization’s technical vision, mission, and work priorities, and drives progress towards roadmaps and ensures efficient technical product management and effective communication with stakeholders
• Creates environment for delivery teams to be self-governing organizations who are accountable for their own performance and delivery commitments and measured accordingly
• Provide input on technology decisions, people management, and product features across all stages of product lifecycle
• Establish open lines of communication between engineering squads and IT leadership, and support clear adherence to business requirements  Facilitate and monitor clear Engineer check-ins, sprint deliverables, and open communication toward squads and stakeholders
• Drives forward increased technical upskilling across organization with education, programs, and metrics
• Manage Engineer staffing strategy to ensure alignment to Scrum and Agile principles and work closely with Scrum Lead
• Promote use of industry leading technology trends and continuously assess AA IT needs and areas for improvement
• Manages and leads adoption and migration of new and emerging technologies
• Leads, develops, and mentors a high performing engineering team of individuals with a diverse range of technical skills and experiences
• Responsible for budget management and forecasting
• Manages production issues and off-hours support, communication, and coordination, as needed

All you’ll need for success

Minimum Qualifications- Education & Prior Job Experience

• Bachelor’s degree in Technology, Computer Science, Information Systems,  or related technical discipline, or equivalent experience/training
• 5 years of experience participating in delivery of solutions using ITIL / Agile / XP, or similar methodologies
• 5+ years in software engineering, AI engineering, or applied ML roles, with 3+ years leading engineering teams
• Strong understanding of LLM-based systems, including agent patterns, RAG, tool/function calling, prompt engineering, and evaluation method
• Experience building systems with enterprise-grade security, reliability, and observability

Preferred Qualifications- Education & Prior Job Experience

• Proven experience delivering production AI solutions with measurable business outcomes
• Strong understanding of LLM-based systems, including agent patterns, RAG, tool/function calling, prompt engineering, and evaluation methods
• Strong technical leadership, and extensive experience in Agile methodology-style leadership environment
• Hands-on expertise in backend engineering (e.g., Python, Java, C#, or Node.js) and API/service design
• Experience building agentic orchestration using frameworks such as Semantic Kernel, LangChain/LangGraph, Microsoft Copilot Studio, OpenAI/Anthropic tool calling patterns, or equivalent internal frameworks
• Familiarity with enterprise governance practices: model/prompt approvals, audit logs, data classification, and risk controls.
• Knowledge of experimentation and measurement: A/B testing, KPI instrumentation, and operational analytics
• Airline industry experience, including engineering / business processes and supporting technology

Skills, Licenses & Certifications

• Excellent communication skills to present to executive management often and emphasize the important intersection of business and technology
• Proven ability to handle multiple products/work streams and demands efficiently
• Experience in leading a team of individuals with various levels of skills and experience in potentially high stress and challenging situations
• Demonstrated initiative, flexibility, and ability to adapt to changing priorities and work environment
• Leads, influences, and upholds technology standards to ensure resiliency goals are met and continuously improved upon
• Basic financial skills

What you’ll get

Feel free to take advantage of all that American Airlines has to offer:

• Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network.
• Health Benefits: On day one, you’ll have access to your health, dental, prescription and vision benefits to help you stay well. And that’s just the start, we also offer virtual doctor visits, flexible spending accounts and more.
• Wellness Programs: We want you to be the best version of yourself – that’s why our wellness programs provide you with all the right tools, resources and support you need.
• 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year.
• Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more

Feel free to be yourself at American

From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Employee Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world.

Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life’s journey? Feel free to be yourself at American.

Quora : a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.

Poe : a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. Improve our existing Machine Learning systems using your expertise

Identify new opportunities to apply Machine Learning to different parts of the Poe product

Take end-to-end ownership of Machine Learning systems – from prototyping, data pipelines and training, to realtime LLM application at scale

A 2024 or 2025 graduate with or pursuing a B.D. in Computer Science, Engineering or a related technical field

Strong understanding of mathematical foundations of Machine Learning algorithms

Experience of transformer models and LLM applications

Strong knowledge of Python or C++, or the ability to learn them quickly

Previous software engineering experience via an internship, work experience, or coding competition

Previous industry experience working on natural language processing, language modeling, etc.

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits.

For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

LI-REMOTE

About Quora: Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products: * Quora : a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others. * Poe : a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models. Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world. This role will be working on our Poe product. About the Team and Role: Our small engineering team works on challenging problems every day. We have a culture that’s rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company. At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. You will also play a key role in developing tools and abstractions that our other developers would build on top of. Responsibilities: * Improve our existing Machine Learning systems using your expertise * Identify new opportunities to apply Machine Learning to different parts of the Poe product * Work with other engineers to implement algorithms and systems in an efficient way * Take end-to-end ownership of Machine Learning systems – from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for meetings and impromptu communication during Quora’s “ coordination hours " (Mon-Fri: 9am-3pm Pacific Time) * A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field * Strong understanding of mathematical foundations of Machine Learning algorithms * Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning and always improving yourself and the team around you Preferred Requirements: * Previous software engineering experience via an internship, work experience, or coding competition * Previous industry experience working on natural language processing, language modeling, etc. * Passion for Quora’s mission and goals At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture. Additional Information: We are accepting applications on an ongoing basis. Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs. * US candidates only: For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits. * Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 CAD + equity + benefits. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Job Applicant Privacy Notice:

LI-SS2

LI-REMOTE

About Quora: Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products: * Quora : a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others. * Poe : a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models. Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world. About the Team and Role: We’re hiring our first AI Automation Engineer to lead how we apply AI internally across the company. This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal will be to automate as much work as possible, increasing our productivity and improving the quality of our products, decision-making, and internal processes. You’ll work closely with teams across the organization to identify high-impact problems and solve them, continually assessing new potential as frontier model capabilities constantly improve. With access to a wide range of state-of-the-art models via Poe, and an organization focused on AI, you’ll be well placed to experiment, iterate quickly, and launch internal services. This role is ideal for an engineer who’s curious, pragmatic, and motivated by real-world impact - not just research or prototypes. You’ll lay the groundwork for how we approach internal AI applications, with a focus on utility, trust, and constant adaptation. Responsibilities: * Develop and maintain internal tools and systems that automate existing work and increase employee productivity using AI * Use AI as much as possible to automate your own process of creating this software * Collaborate with teams across the business to understand pain points and identify high-impact automation or process improvement opportunities * Rapidly prototype small AI-enabled utilities or automations and deploy them into production swiftly * Supervise the choices AI is making in areas like architecture, libraries, or technologies, and be ready to debug complex systems across frontend and backend services when AI cannot * Act as a high-trust owner of systems that may handle sensitive data or business-critical logic * Work cross-functionally to ensure tools are adopted and deliver obvious value * Stay updated on the latest models and tools, and apply that knowledge to your work Minimum Requirements: * Availability for meetings and impromptu communication during Quora’s “ coordination hours " (Mon-Fri: 9am-3pm Pacific Time) * Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple projects simultaneously * High level of ownership and accountability, especially with sensitive or business-critical data * Strong communication skills and a collaborative mindset * Comfortable working in a fast-paced, sometimes ambiguous environment with shifting priorities * Experience working cross-functionally with teams outside of product development * A natural collaborator who enjoys being a partner and creating utility for others At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture. Additional Information: We are accepting applications on an ongoing basis. Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs. * US candidates only: For US based applicants, the salary range is $155,656 - $225,160 USD + equity + benefits. * Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $202,383 - $234,201 CAD + equity + benefits. For all other locations in Canada, the salary range is $188,891 - $218,588 CAD + equity + benefits. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Job Applicant Privacy Notice:

Respected alternative asset management firm

Investment Management

The Company is in search of an Associate or VP to join their team and play a key role in the investment and monitoring of CLO tranches. The successful candidate will be responsible for analyzing and underwriting CLO tranches across various levels, monitoring portfolio performance, and supporting the structuring, sourcing, and due diligence of new CLO investments. Additionally, the role involves developing and maintaining internal analytics and research tools, collaborating with trading, risk, and quantitative teams, conducting market research, and preparing investment recommendations for the investment committee.

Applicants should have 5-10 years’ of experience in credit investing, structured products, or CLOs, with a strong background in investment-grade credit. Experience in mezzanine/equity trading is a plus. The role requires strong analytical, quantitative, and communication skills, as well as advanced proficiency in Excel. Familiarity with SQL, Python, or other data tools is also a plus. The ideal candidate will have a proven ability to manage multiple initiatives in a fast-paced, team-oriented environment and hold a Bachelor’s degree, with advanced degrees being advantageous.

Travel Percent

Finance

Data Management/Analytics

Confidential

Description & Requirements

Maximus is a trusted federal partner supporting mission‑critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus’ role as a reliable prime for high‑impact government missions. Joining Maximus means contributing to meaningful work in fast‑paced environments alongside professionals committed to service, accountability, and results.

This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed.

This position is remote and requires a Secret security clearance.

Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS195, T3, Band 6

Job-Specific Essential Duties and Responsibilities:

• Designs, develops, trains, evaluates, and integrates AI/ML models and algorithms supporting Government operational systems

• Prepares and structures data for machine learning pipelines, feature engineering, and model lifecycle management

• Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts

• Integrates AI/ML capabilities into software applications and system architectures using APIs and microservices

• Supports DevSecOps activities including CI/CD pipelines, automated testing, and secure deployment

• Ensures solutions comply with DoD cybersecurity, RMF, data protection, and Responsible AI policies

• Supports system accreditation, documentation, testing, and evaluation activities

• Collaborates with Government and contractor teams across development, integration, and readiness environments

• Participates in Agile program increment (PI) planning and activities requiring periodic travels

Job-Specific Minimum Requirements:

• Active Secret security clearance required

• Bachelor’s degree in related field required

• A Master’s degree may substitute for 2 years of experience

• 5 years of experience in the functional area

• 3 years of demonstrated experience designing, developing, training, and evaluating machine learning models using industry-standard frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

• 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++).

• 3 years demonstrated experience of machine learning concepts, including supervised and unsupervised learning, model evaluation techniques, and feature engineering.

• Demonstrated experience in preparing, conducting, and documenting various systems tests and results to verify system operability and compliance with project standards and requirements.

• 3 years of experience testing web-based applications.

• 3 years of experience participating in software development programs or projects.

• Demonstrated experience with relational databases, RESTful API development and communication, and system integrations.

• 5 years of experience with Jenkins and GitLab.

• Experience structuring data so it can be integrated into machine learning technologies or AI capabilities.

Preferred Skills and Qualifications:

• Experience using Agile Test-Driven Development

• Experience integrating into DoD DevSecOps environments

• 5 years of experience with CI/CD software development

• Experience supporting RMF accreditation and security assessment activities

• Experience with model monitoring, explainability, and Responsible AI practices

• Experience integrating AI/ML services into operational dashboards or decision support platforms

#techjobs #clearance #veteranspage # USCYBERCOM

Minimum Requirements

TCS195, T3, Band 6

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate’s education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus’s total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant’s salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com .

Minimum Salary

$

110,000.00

Maximum Salary

$

145,000.00

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

Join us in building the future.

Provide expert technical direction in the analysis of multiple and complex systems, including planning, designing, evaluating, selecting operating systems and protocol suites and configuring communication media. Partner and collaborate with others in the resolution of interoperability problems to obtain operations across all platforms. Responsible for ensuring the implementation of technical solutions utilizing expertise learned from multiple and complex client environments. This is a work from home position within the US.

Develop and maintain dashboards and reports to provide visibility into cloud costs

~ Establish and enforce tagging standards and cost allocation policies. Automate cost management tasks and integrate FinOps tools into CI/CD pipelines

~ Administer and support core Microsoft technologies

~ Administer and support core Citrix technologies

~ Develop and implement project plans, risk assessments and contingency plans

~ Define and document best practices and support procedures

~24 X 7 X 365 systems’ monitoring and on-site availability if required

~ Participate in the team’s on-call support rotation

Strong understanding of cloud platforms and pricing models

~ Deep understanding of cloud native cost management tools and Flexera One Cloud Cost Optimization

~ Proficiency in data analysis and visualization tools (e.g., Excel, Power BI, Tableau)

~ Familiarity with scripting languages (e.g., Python, PowerShell) for automation

~ Experience in DevOps or Cloud Engineering roles.

May travel for 1-2 times/year for workshops

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

Bonus Structure

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

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

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

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

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

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

The Role

Provide expert technical direction in the analysis of multiple and complex systems, including planning, designing, evaluating, selecting operating systems and protocol suites and configuring communication media. Partner and collaborate with others in the resolution of interoperability problems to obtain operations across all platforms. Responsible for ensuring the implementation of technical solutions utilizing expertise learned from multiple and complex client environments. Consult and assess industry advances in technical system technologies.

Location

This is a work from home position within the US.

The Main Responsibilities

• Develop and maintain dashboards and reports to provide visibility into cloud costs
• Establish and enforce tagging standards and cost allocation policies. Ensure all resources are tagged every month
• Automate cost management tasks and integrate FinOps tools into CI/CD pipelines
• Flexera One CCO administrator
• Proactively manage and maintain server systems
• Administer and support core Microsoft technologies
• Administer and support core Citrix technologies
• Develop and implement project plans, risk assessments and contingency plans
• Define and document best practices and support procedures
• 24 X 7 X 365 systems’ monitoring and on-site availability if required
• Mentor / cross-train team members on existing and new technologies
• Carry out special tasks at Management’s direction
• Participate in the team’s on-call support rotation

What We Look For in a Candidate

• 5+ years of overall experience and 2+ years as FinOps engineer
• Strong understanding of cloud platforms and pricing models
• Deep understanding of cloud native cost management tools and Flexera One Cloud Cost Optimization
• Proficiency in data analysis and visualization tools (e.g., Excel, Power BI, Tableau)
• Familiarity with scripting languages (e.g., Python, PowerShell) for automation
• Excellent communication and collaboration skills

Preferred Qualifications:

• FinOps Certified Engineer or similar certification
• Experience in DevOps or Cloud Engineering roles.
• May travel for 1-2 times/year for workshops

Compensation

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

Location Based Pay Ranges

$132,232 - $176,310 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY
$138,844 - $185,124 in these states: CO HI MI MN NC NH NV OR RI
$145,456 - $193,940 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA

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

Learn more about Lumen’s:
Benefits
Bonus Structure

Requisition #: 341615

Background Screening

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

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

Equal Employment Opportunities

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

Privacy Notice

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

To review Lumen’s Privacy Notice, please visit:

Disclaimer

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

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

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

We’re transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. Instacart is a Flex First team

Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.

Since 2012, Instacart has been focused on making grocery delivery convenient, affordable, and accessible to everyone. We bring fresh groceries and everyday essentials to customers across the US and Canada from nearly 55,000 stores across 5,500 markets. Our mission is to create a world where everyone has access to the food they love, and to achieve that goal, we innovate in a wide range of areas including e-commerce, advertising, and fulfillment.

We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we build product and knowledge graphs on top of the catalog data to support a wide range of applications including search and ads.

D. students to have an internship in our fast moving team. You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc.

This is a general posting for multiple intern roles open across our various ML teams. Economics Team: The Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers’ decision-making. Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference.

Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search technology at Instacart. They collaborate on building models that enhance relevance of all shopping surfaces, ranking, and personalization, delivering highly relevant results to users across the Instacart ecosystem. As part of the Search and Discovery ML team, you’ll work on one of the most critical aspects of the business, helping customers connect with the right products. We are passionate about solving large-scale search challenges and creating innovative solutions that elevate the customer experience. (Content AI Team : The Content AI team at Instacart works alongside world-class engineers, data scientists, and product managers to advance generative AI, recommendations, and catalog intelligence in grocery ecommerce. We build cutting-edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage generative AI and LLMs to enhance and enrich Instacart’s catalog, driving AI-powered product understanding and content creation at scale. As part of Content AI, you’ll work on high-impact AI solutions, applying LLMs, agentic systems, and computer vision to tackle complex challenges. We are passionate about pushing the boundaries of generative AI to shape the future of ecommerce. If you’re excited about building state-of-the-art AI systems, we’d love to have you on board!

Past internship contributions include:

Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper)

Enhancing sequence-based recommendations for long-tail products (Blog)

Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries.

Ads quality, pCTR, etc. - Knowledge graphs - Working on graph data management and knowledge discovery, and creating a natural language interface for data access.

Fraud detection and prevention - Using cost sensitive learning to reduce loss.

Pricing - Estimating willingness-to-pay, and optimizing revenue and user experience.

D. student in computer science, mathematics, statistics, economics, or related areas.

Strong programming (Python, C++) and algorithmic skills.

D. student at a top tier university in the United States

Prior internship/work experience in the machine learning space

This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

We’re transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.

Overview

Since 2012, Instacart has been focused on making grocery delivery convenient, affordable, and accessible to everyone. We bring fresh groceries and everyday essentials to customers across the US and Canada from nearly 55,000 stores across 5,500 markets. Our mission is to create a world where everyone has access to the food they love, and to achieve that goal, we innovate in a wide range of areas including e-commerce, advertising, and fulfillment.

We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we build product and knowledge graphs on top of the catalog data to support a wide range of applications including search and ads.

We are looking for talented Ph.D. students to have an internship in our fast moving team. You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc.

About the Team:

This is a general posting for multiple intern roles open across our various ML teams. You can find a blurb on each team below:

Economics Team: The Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers’ decision-making. Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference.

Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search technology at Instacart. They collaborate on building models that enhance relevance of all shopping surfaces, ranking, and personalization, delivering highly relevant results to users across the Instacart ecosystem. As part of the Search and Discovery ML team, you’ll work on one of the most critical aspects of the business, helping customers connect with the right products. We are passionate about solving large-scale search challenges and creating innovative solutions that elevate the customer experience. (Recent publications 1, 2, 3, 4, 5).

Content AI Team : The Content AI team at Instacart works alongside world-class engineers, data scientists, and product managers to advance generative AI, recommendations, and catalog intelligence in grocery ecommerce. We build cutting-edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage generative AI and LLMs to enhance and enrich Instacart’s catalog, driving AI-powered product understanding and content creation at scale. As part of Content AI, you’ll work on high-impact AI solutions, applying LLMs, agentic systems, and computer vision to tackle complex challenges. We are passionate about pushing the boundaries of generative AI to shape the future of ecommerce. If you’re excited about building state-of-the-art AI systems, we’d love to have you on board!

Past internship contributions include:

Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing sequence-based recommendations for long-tail products (Blog)

About the Job

Based on your passion and background, you may choose to work in a few different areas:

• Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries.
• Search relevance and ranking - Improving search relevance by incorporating signals from various sources.
• Ads quality, pCTR, etc. - Improving ads revenue and ROAS.
• Knowledge graphs - Working on graph data management and knowledge discovery, and creating a natural language interface for data access.
• Fraud detection and prevention - Using cost sensitive learning to reduce loss.
• Pricing - Estimating willingness-to-pay, and optimizing revenue and user experience.
• Logistics - Optimization in a variety of situations, including supply/demand prediction, last mile delivery, in-store optimization, etc.

About You

Minimum Qualifications:

• Ph.D. student in computer science, mathematics, statistics, economics, or related areas.
• Strong programming (Python, C++) and algorithmic skills.
• Good communication skills. Curious, willing to learn, self-motivated, hands-on.

Preferred Qualifications:

• Ph.D. student at a top tier university in the United States
• Prior internship/work experience in the machine learning space

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role.

Aperia is unlocking a new era of efficiency and sustainability for commercial vehicle fleets, by developing innovative hardware and data analytics solutions. Inventors of the award- winning and disruptive Halotm Automatic Tire Inflator, and the cloud delivered Halo Connect tire analytics platform. Aperia saves fleets thousands of hours of down-time every week, reduces the carbon footprint and environmental impact of the freight industry. Join us as we expand our product offering and take the next steps on our journey toward bringing the “backbone of our economy” into the automation age.

We are unable to sponsor H-1B, F-1 OPT, and STEM OPT extension at this time.

Your Role

We are seeking a motivated and technically proficient Solutions Engineer to serve as a trusted advisor to customers throughout the sales process and beyond. In this role, you will collaborate with Sales and Customer Experience teams to analyze and present data, optimize customer engagements, and drive successful outcomes. This position is key to delivering a seamless, cohesive experience across pre-sales and post-sales interactions.

Your Responsibilities

Customer Engagement :

• Serve as a subject matter expert on Aperia’s products, pilot data, and algorithm behavior to effectively communicate value to potential customers.
• Own the discovery and qualification process for Aperia’s technical compatibility with customer environments.
• Partner with Sales Directors to identify customer business goals, needs, and pain points, and craft solutions that address them.
• Develop and deliver engaging presentations and demonstrations for technical and non-technical audiences, virtually and in person.

Technical Expertise :

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• Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical success.
• Build advanced analytical models using SQL, Python, and Excel to demonstrate product value.
• Monitor industry trends, competitor offerings, and ecosystem developments to maintain deep technical expertise.

Cross-Functional Collaboration :

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• Act as the voice of the customer by representing feedback to Product and Engineering teams.
• Optimize the technical sales pilot process by developing tools, analyses, and artifacts that streamline workflows.
• Collaborate with Sales, Product, and Engineering teams to refine strategies and improve customer outcomes.

Skills/Qualifications

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• B.S or B.A degree in Engineering, Business administration or related field required.
• 3+ years of experience in a solutions engineering, sales engineering, or similar role.
• Proficiency in SQL and Python is required; experience with additional programming languages or tools is a plus.
• Strong analytical skills with expertise in Excel and statistical analysis.
• Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences.
• Solution-oriented mindset, motivated by creating practical solutions to complex problems.
• Experience and familiarity with the sales/pre-sales processes used in either hardware or software sales.
• Polished presenter, comfortable leading presentations and demos of our portal and pilot data to large groups, both technical and non-technical. Virtually and in person.
• Proven ability to thrive in fast-paced environments, meet deadlines, and maintain commitments to customers and coworkers.

Pay Range: $120,000 - $140,000

*Base salary only. Salary is dependent on multiple factors including, but not limited to, experience and location.

**Additional compensation may include equity, bonuses, stipends, medical, dental, vision, 401(k), and long-term disability insurance.

Senior Systems Engineer, Data Management

Our field sales professionals rely on proactive technical support during the sales process – and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need.

Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US.

What you’ll achieve
As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will:
•Build and lead relationships for highly sophisticated customer accounts
•Conduct customer needs analysis and anticipate requirements beyond existing solution’s scope
•Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities
•Verify operability of sophisticated product and service configurations within the customer’s environment
• Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Technical Skills

· Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar).

· Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs).

· Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats

· Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering).

· Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns.

· Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns.

· Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA).

· Analytics, BI, and data science

· Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models.

· Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics.

· Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level).

Consulting Skills

· Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers.

· Can translate ambiguous business problems into clear data and analytics use cases.

· Storytelling & communication

· Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences.

· Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics).

· Demo & POC excellence

· Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features.

· Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win.

· Competitive positioning

· Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools.

5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure.

Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas:

· Cloud data warehouse or lakehouse migrations

· Enterprise BI modernization/self-service analytics

· GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications

· Real-time or streaming analytics

· Advanced analytics / data science enablement

· Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse).

Compensation
Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - 265,100 which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID: R285911

We’re transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. Instacart is a Flex First team

Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. You will use machine learning to devise and refine solutions in crucial areas such as routing optimization, pricing, dispatch, and mapping. You will actively contribute to initiatives, assisting in all stages from the initial concept, through prototyping and experimentation, to final implementation.

The Logistics AI group is responsible for the intelligence and execution behind Instacart’s fulfillment system. The team optimizes a multi-sided marketplace to ensure customers get their orders on-time and in high quality, shoppers get efficient and fulfilling work, and retailers and consumer brands get reasonable business. The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial, as well as foundational problems executing on a high throughput system with dynamic data.

Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace.

Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML/AI applications.

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools

Have 1-2 years of industry experience using machine learning to solve real-world problems with large datasets

Knowledge of deep learning frameworks and methodologies

Experience in applying machine learning and optimization techniques to solve marketplace problems

This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here .

Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.

By submitting your interest, you’ll be among the first to know when internship opportunities open at Danaher. If your background aligns with future opportunities, we’ll reach out directly when formal applications become available.

About Digital Analyst Roles at Danaher

Are you passionate about data, customer experience, and driving meaningful improvements through insights? As a Digital Analyst Intern, you’ll work alongside a talented team focused on enhancing the digital experience for customers worldwide by analyzing data and documenting system workflows that power our web platforms.

Documenting system integrations and workflows within digital platforms

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights

Supporting usability testing and interpreting user behavior data to recommend experience improvements

Preparing detailed reports and presentations to communicate findings to the Digital Customer Experience Team

Collaborating closely with cross-functional teams to help build a world-class digital organization

Students currently pursuing a bachelor’s degree in Computer Science, Information Systems, or a related field

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex data sets

Experience or coursework in documenting system integrations and workflows

Bonus:

Basic programming or scripting experience in Python, SQL, or JavaScript

Experience with Sitecore or other Content Management Systems

At Beckman Coulter Diagnostics, part of the Danaher family, we’ve been advancing laboratory science for over 80 years, dedicated to improving patient lives worldwide through innovation. Join us and help reimagine healthcare, one diagnosis at a time.

How It Works This is not an active job listing. By submitting your interest, you’ll be among the first to know when internship opportunities open at Danaher. While the roles described here reflect the types of positions we typically recruit for, specific openings have not yet been finalized. If your background aligns with future opportunities, we’ll reach out directly when formal applications become available. About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and driving meaningful improvements through insights? As a Digital Analyst Intern, you’ll work alongside a talented team focused on enhancing the digital experience for customers worldwide by analyzing data and documenting system workflows that power our web platforms. What You Might Work On * Documenting system integrations and workflows within digital platforms * Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights * Supporting usability testing and interpreting user behavior data to recommend experience improvements * Preparing detailed reports and presentations to communicate findings to the Digital Customer Experience Team * Collaborating closely with cross-functional teams to help build a world-class digital organization Who This Is For * Students currently pursuing a bachelor’s degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex data sets * Experience or coursework in documenting system integrations and workflows * Strong analytical mindset and attention to detail Bonus: * Knowledge of usability testing methods and tools * Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore or other Content Management Systems Company Description At Beckman Coulter Diagnostics, part of the Danaher family, we’ve been advancing laboratory science for over 80 years, dedicated to improving patient lives worldwide through innovation. Our culture celebrates diverse backgrounds and perspectives, and we invest in your career growth through mentorship and meaningful hands-on experiences. Join us and help reimagine healthcare, one diagnosis at a time.

How It Works This is not an active job listing. By submitting your interest, you’ll be among the first to know when internship opportunities open at Danaher. While the roles described here reflect the types of positions we typically recruit for, we want to be transparent that specific openings have not yet been finalized. If your background aligns with future opportunities, we’ll reach out directly when formal applications become available. About Software Engineering Roles at Danaher Are you passionate about building real-world applications, writing clean code, and solving meaningful technical challenges? As a Software Engineering Intern at Danaher, you’ll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might Work On * Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an Agile Scrum team, collaborating across design, development, and testing * Supporting the development of console and embedded software systems * Troubleshooting issues and implementing code fixes for real product features * Conducting peer code reviews and incorporating feedback * Producing documentation to support medical device regulatory processes Who This Is For * Students graduating in 2025 or later with a Bachelor’s degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and debugging skills * Comfortable working independently and in cross-functional teams Bonus : * Familiarity with Git or version control systems * Knowledge of object-oriented design patterns * Contributions to coding forums like Stack Overflow or other collaborative development communities Company Description At Danaher, we bring together science, technology, and operational excellence to accelerate the impact of innovation in diagnostics, life sciences, and biotechnology. Our global teams work every day to solve the world’s most complex challenges by developing tools that improve human health. As part of the Danaher family, Beckman Coulter Diagnostics is a global leader in clinical diagnostics. Together, we’re committed to creating a workplace that values inclusion, celebrates diversity, and supports career growth through mentorship and hands-on experience.

Description

Are you ready to work for a company that not only supports mission critical projects but also prioritizes investing in the growth and development of its employees?

Join us at Leidos, where your most important work is ahead! You will enjoy great benefits such as paid time off (PTO), flexible schedules, discounted stock purchase plans, career growth, education and training support, parental paid leave and more! You will have the opportunity to work under exceptional industry leadership at every level, where prioritizing employees, and their work, is paramount.

The Digital Modernization Sector at Leidos is brimming with exciting new opportunities—and we want you to be part of it!

Join our team working on one of our most prestigious programs delivering Cloud modernization and operations to the Department of the Air Force on the Cloud One Architecture and Common Shared Services (ACSS) contract.

Leidos was awarded the U.S. Air Force Cloud One Architecture and Common Shared Services contract and currently has an opening for a Cloud Engineer.

Location:
This position will be hybrid remote, candidates will be required to work onsite as needed. Candidates need to be able to travel to Tewksbury, MA or to a location in Huntsville, AL as needed.

Primary Responsibilities:

• Assist with the designing and implementing scalable, resilient, and secure cloud architectures in AWS, Azure, Google Cloud Platform, and/or Oracle Cloud Infrastructure.
• Conduct technical trade studies and evaluate alternatives considering cost, risk, performance, security, and lifecycle supportability.
• Lead the development and maintenance of Infrastructure as Code (IaC) and automation frameworks using tools such as Terraform, Ansible, or CloudFormation.
• Architect, deploy, and integrate cloud-native applications and supporting services.
• Design and support containerized platforms and orchestration solutions using Kubernetes, Docker, and related technologies.
• Optimize system availability, performance, scalability, and reliability across distributed cloud environments.
• Implement and oversee security best practices, including identity and access management, logging, monitoring, vulnerability management, and compliance controls.
• Support system integration, verification, validation, testing, and quality assurance activities across multiple technical domains.
• Support cloud modernization initiatives, including migration of legacy systems and adoption of cloud-native architectures.
• Troubleshoot complex system issues, perform root cause analysis, and drive resolution across teams.
• Develop and maintain technical documentation, architecture artifacts, and operational procedures.
• Collaborate with internal engineering teams, program leadership, customers, and external partners or vendors to deliver integrated solutions.
• Provide technical leadership, coaching, and design review support to junior and mid-level engineers.
• Influence engineering standards, DevOps/DevSecOps practices, and technical processes.

Basic Qualifications:

• Bachelor’s degree with 4+ years of relevant experience, or Master’s degree with 2+ years of relevant experience. Additional experience may be considered in lieu of a degree.
• Interim Secret clearance required to start; ability to obtain and maintain a Secret clearance.
• U.S. citizenship required.
• CompTIA Security+ or equivalent certification (IAT Level II).
• Hands-on experience supporting cloud environments (AWS, Azure, GCP, or OCI).
• Experience with Infrastructure as Code, automation, or DevOps/DevSecOps tools.
• Familiarity with CI/CD pipelines and cloud-native development practices.
• Working knowledge of Linux/Unix systems, networking fundamentals, and version control tools (Git).
• Proficiency in at least one scripting or programming language (e.g., Python, Bash).
• Strong written and verbal communication skills.

Preferred Qualifications:

• Experience supporting DoD or USAF cloud environments (e.g., Cloud One, Platform One).
• Experience designing and implementing Zero Trust cloud architectures.
• Experience with monitoring and logging platforms such as Elastic, Splunk, Prometheus, or Grafana.
• Strong understanding of identity and access management solutions (Active Directory, Azure AD, IAM).
• Experience with container orchestration platforms such as Kubernetes and OpenShift.
• Cloud certifications in AWS, Azure, Google, or Oracle.
• Experience collaborating with vendors and external partners on cloud solutions.

C1NACSS

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

Original Posting:

April 13, 2026

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

Pay Range:

Pay Range $87,100.00 - $157,450.00

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

About Leidos

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

Pay and Benefits

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

Securing Your Data

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

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

Commitment to Non-Discrimination

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

#Remote

We’re transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

About the Role:

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you’ll develop and enhance Instacart’s marketplace systems. You will use machine learning to devise and refine solutions in crucial areas such as routing optimization, pricing, dispatch, and mapping. You will actively contribute to initiatives, assisting in all stages from the initial concept, through prototyping and experimentation, to final implementation.

About the Team:

The Logistics AI group is responsible for the intelligence and execution behind Instacart’s fulfillment system. The team optimizes a multi-sided marketplace to ensure customers get their orders on-time and in high quality, shoppers get efficient and fulfilling work, and retailers and consumer brands get reasonable business. The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial, as well as foundational problems executing on a high throughput system with dynamic data.

About the Job:

• Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace.
• Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML/AI applications.
• Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
• Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.

About You:

Minimum Qualifications:

• Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience
• Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
• Have strong analytical skills and problem-solving ability
• Are a strong communicator who can collaborate with diverse stakeholders across all levels

Preferred Qualifications:

• Have 1-2 years of industry experience using machine learning to solve real-world problems with large datasets
• Knowledge of deep learning frameworks and methodologies
• Experience in applying machine learning and optimization techniques to solve marketplace problems

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here .

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here .

For US based candidates, the base pay ranges for a successful candidate are listed below.

“I can be myself at work.”

You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we’re committed to fostering a strong sense of belonging in a respectful workplace.

We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.

“I can influence my income.”

You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You’ll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.

“I can lead a full life.”

You bring unique goals and interests to your job and your life. Whether you’re raising a family, you’re passionate about where you volunteer, or you want to explore different career paths, we’ll give you the resources that can set you up for success.

• Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options
• Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love
• Access on-demand professional development resources that allow you to hone existing skills and learn new ones

“I can succeed as a Software Development Engineer at Capital Group.”

As a tenured Software Development Engineer, you will design and implement distributed systems and data-intensive applications that support critical investment capabilities at Capital Group. You will architect and own major services, data workflows, and analytics-driven features that directly contribute to delivering long-term value to our investors. Where helpful, you will leverage AI tools and intelligent automation to accelerate development and improve engineering productivity.

Our domain is deeply analytical and increasingly AI-enabled. As we expand our use of Generative AI and emerging AI-driven capabilities, you will help shape how intelligent services are thoughtfully integrated into our production systems. You will contribute to building scalable foundations that enable AI-powered workflows, automation, and decision support - ensuring reliability, performance, and enterprise-grade quality.

You will work across backend services, cloud-native architectures, and modern data platforms to deliver pragmatic solutions to complex computational challenges. You will also help design and operationalize agentic systems (LLM-powered agents and tools) that automate workflows, assist decision-making, and safely interact with enterprise data and services.

You will live by the principle: “you ship it, you own it.” From ideation through production support, you will design, build, operate, and continuously improve the systems you create. You will act as a force multiplier - mentoring engineers, influencing technical direction, and setting a high bar for craftsmanship, simplicity, and operational excellence.

“I am the person Capital Group is looking for.”

• You have 6+ years of professional software development experience in one or more modern languages such as Python, C#, Java, Go, or similar.
• You have designed, built, and operated distributed systems in production environments.
• You bring a cloud-first mindset, with hands-on experience building scalable services on AWS or similar platforms.
• You have strong data engineering fundamentals and can build scalable, reliable data products (batch and streaming) across the full lifecycle: ingestion, quality, transformation, orchestration, and serving.
• You are comfortable with lakehouse / warehouse patterns and governance (e.g., Delta/Parquet, catalogs/lineage, access controls), and you design for data quality, auditability, and reproducibility.
• You can translate investment-domain needs into technical solutions and understand the importance of accuracy, timeliness, and controls.
• You can build and operate agentic workflows end-to-end: tool/function design, grounding (RAG/semantic retrieval), planning/execution patterns, evaluation, monitoring, and guardrails (security, privacy, prompt-injection resistance, and safe tool use).
• You are interested in and motivated by the practical application of Generative AI and AI-enabled capabilities/tools in all aspects of SDLC.
• You design pragmatic solutions to complex analytical problems and balance innovation with operational excellence.
• You identify root causes of systemic issues and drive long-term, sustainable improvements.
• You uphold disciplined engineering practices, including automated testing, CI/CD, observability, and high-quality code reviews.
• You exhibit excellent verbal and written communication skills and high emotional intelligence.

Preferred Skills & Experience

• Experience working with large-scale data processing frameworks (e.g., Spark) or modern data platforms (e.g., Databricks).
• Strong experience with Python.
• Experience with data orchestration and reliability patterns (e.g., Airflow/DBT/workflows, SLAs/SLOs, data quality checks, idempotency, backfills).
• Experience designing APIs and service-oriented architectures.
• Experience mentoring and technically leading other engineers.

“I can apply in less than 4 minutes.”

You’ve reviewed this job posting and you’re ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn’t what you’re looking for, check out our other opportunities and join our talent community.

“I can learn more about Capital Group.”

At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That’s why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people’s lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor.

Southern California Base Salary Range: $201,683-$322,693

In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital’s annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.

You can learn more about our compensation and benefits here .

• Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.

We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

Company Description

At Titl, we simplify the real estate process by eliminating paperwork, legal obstacles, and delays associated with buying, owning, or selling a home. Our advanced technology ensures transparency and peace of mind throughout every transaction. We provide a modern and user-friendly way to handle property—designed for today and prepared for future needs.

Role Description

We’re seeking an experienced Full-Stack Engineer to join our team working on a sophisticated property data research and report generation platform. This role involves building and maintaining enterprise-grade systems that automate property data extraction from government sources, generate comprehensive property reports, and manage complex business workflows including payments, authentication, and blockchain integration.

What You’ll Work On

• Backend Services: Develop and maintain NestJS microservices handling property data scraping, PDF generation, report aggregation, and enterprise account management
• Frontend Applications: Build responsive Next.js applications with complex state management and real-time updates
• Data Pipeline: Work with automated scraping systems using Puppeteer and AI-powered document processing (Google Document AI, OpenAI)
• Integration Development: Implement OAuth flows, Stripe payment processing, webhook handling, and third-party API integrations
• Queue Management: Design and maintain Bull queue systems for background job processing and async workflows
• Blockchain Integration: Work with Polymesh blockchain for property ownership verification and asset tokenization
• Database Design: Create efficient Prisma schemas and optimize PostgreSQL queries for complex property data relationships

Required Technical Skills

Core Stack (Must Have)

• Backend: Advanced proficiency in NestJS with deep understanding of dependency injection, decorators, guards, and service patterns
• Frontend: Expert-level Next.js 14 (App Router) and React with TypeScript
• Database: Strong Prisma ORM experience and PostgreSQL optimization skills
• TypeScript: Production-level TypeScript across full stack
• API Design: RESTful API design, DTOs, validation, and Swagger documentation Infrastructure & DevOps
• Docker: Container orchestration and development environments
• Cloud Platforms: Google Cloud Platform (Cloud Storage, Cloud Run)
• Queue Systems: Bull or similar job queue systems (Redis-backed)
• Monorepo: Experience with pnpm workspaces or similar monorepo tooling Authentication & Payments
• OAuth 2.0: Multi-provider authentication (Google, Facebook, LinkedIn)
• JWT: Token-based authentication and authorization patterns
• Stripe: Payment processing, webhooks, subscription management, and usage-based billing Specialized Skills
• Web Scraping: Puppeteer or similar browser automation tools
• PDF Processing: PDF generation, manipulation, and data extraction
• AI/ML Integration: Experience with AI APIs (OpenAI, Google AI, etc.)
• Background Jobs: Async processing, retry logic, and error handling

Highly Desired Skills

• Blockchain: Polymesh or Ethereum blockchain integration experience
• Document Processing: OCR, document AI, or legal document processing
• Property/Real Estate Domain: Understanding of property records, deeds, liens, title commitments
• Legal Tech: Experience with legal document workflows or compliance systems
• Testing: Jest, testing-library, E2E testing frameworks
• Performance Optimization: Query optimization, caching strategies, lazy loading
• Security: OWASP best practices, rate limiting, encryption

Architecture & Design Requirements

You should be comfortable with:

• Design Patterns: Service-oriented architecture, repository pattern, factory pattern
• Dependency Injection: Understanding NestJS DI container and module system
• Database Relations: Complex multi-tenant data models with proper isolation
• State Management: React Context, server/client component patterns
• Error Handling: Comprehensive error handling, retry logic, fallback mechanisms, API Security: Rate limiting, API key management, webhook signature verification

Experience Requirements

• 5+ years of full-stack development experience
• 3+ years with TypeScript in production environments
• 2+ years with NestJS or similar enterprise Node.js frameworks
• 2+ years with modern React and Next.js
• Experience building production SaaS applications with multi-tenant architecture
• Track record of shipping complex features end-to-end
• Experience with third-party integrations and webhook systems
• Domain Knowledge (Preferred)
• Understanding of property data and real estate records
• Familiarity with government data systems and public records
• Knowledge of legal document structures (deeds, liens, mortgages, title commitments)
• Experience with regulated industries and compliance requirements
• Understanding of Miami-Dade County or similar municipal systems (bonus)

Development Practices

You should have experience with:

• Git workflows: Feature branches, pull requests, code review
• Documentation: Writing clear technical documentation and API specs
• Testing: Unit tests, integration tests, E2E tests
• CI/CD: Automated testing and deployment pipelines
• Agile: Working in iterative development cycles
• Code Quality: ESLint, Prettier, TypeScript strict mode

Problem-Solving Skills

We’re looking for someone who can:

• Debug complex distributed systems across multiple services
• Optimize database queries and reduce API response times
• Design scalable architectures for high-volume data processing
• Handle edge cases in automated scraping and data extraction
• Troubleshoot integration issues with third-party services
• Implement robust error handling and monitoring
• Communication & Collaboration
• Clear written communication for documentation and code reviews
• Ability to explain technical concepts to non-technical stakeholders
• Collaborative approach to problem-solving
• Proactive in identifying and addressing technical debt
• Experience mentoring junior developers (preferred)
• Package Manager Note
• This project uses pnpm exclusively for monorepo management. Experience with pnpm workspaces is preferred, but npm/yarn monorepo experience transfers well.

What Makes You Stand Out

• Contributions to open-source projects
• Experience with LangChain or LangGraph for AI orchestration
• FastAPI or Python experience (for AI service integration)
• Understanding of title insurance or property ownership verification
• Experience with Puppeteer clusters and browser farm optimization
• Background in fintech or regulated industries
• Experience with multi-environment deployments (local, staging, production)

Working Style

This role requires:

• Attention to detail when working with legal and financial data
• Systematic approach to debugging complex systems
• Ability to work independently on ambiguous problems
• Comfort with reading and understanding existing codebases
• Pragmatic decision-making balancing speed and quality
• Tech Stack Summary: NestJS • Next.js • TypeScript • Prisma • PostgreSQL • Puppeteer • Bull • OAuth • Stripe • Google Document AI • OpenAI • Docker • GCP • Polymesh • pnpm
• This role offers the opportunity to work on challenging technical problems at the intersection of PropTech, LegalTech, and AI, building systems that handle real-world property data at scale.