Unleashing the world's untapped human potential to accelerate AGI. Turing is at the forefront of AGI infrastructure, solving the human intelligence bottleneck and empowering enterprises to harness the power of generative AI—transforming complex data into actionable insights. From custom AI products to end-to-end deployment, our solutions and experts are dedicated to driving innovation and efficiency. Trusted by 1000+ companies including OpenAI, Google, and Meta. Join us in the AGI era and accelerate how businesses operate. Learn more at turing.com.

Seasoned software developers, AI engineers, business and research specialists, and others can join us in the AGI era at turing.com/jobs

Industry: Technology, Information and Internet
Company Size: 501-1,000 employees

Turing

Savvy Admin PROD

**About Turing **

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

**Role Overview **

Turing is looking for Research analysts to work with our researchers to improve the performance of AI models. You will apply your expertise in equity research, sector analysis, financial modelling, and investment thesis development to evaluate and train AI systems. If you enjoy solving complex problems in financial research and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.

**What Does Day-to-Day Look Like **

- Evaluate LLM models on research topics such as equity valuation, sector analysis, earnings estimate modelling, and investment thesis formulation.

- Create rubrics to assess model capabilities on tasks like DCF modelling, comparable company analysis, industry research, and initiating coverage reports.

- Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.

**Requirements **

- 2+ years of experience in Equity Research, Credit Research, or Sell-Side/Buy-Side Research.

- Strong grasp of financial statement analysis, valuation methodologies, sector dynamics, and investment recommendation frameworks.

- Excellent English written communication.

**Bonuses (Not at All Necessary) **

- CFA (Level I/II/III) or MBA in Finance.

**Perks of Freelancing with Turing **

- Work on the cutting edge of AI and finance.

- Fully remote and flexible work environment.

- Competitive hourly compensation of ~$100+/hour depending on experience.

**Offer Details **

- Commitment: Flexible, 10–30 hrs/week.

- Duration: ~1 month, with the possibility of extension based on performance and project needs.

**After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. **

**We’re actively hiring for this role. If you know exceptional talent, please refer them at turing.com/referrals and earn money for successful referrals. **

Remote Equity Research Analyst ($100/hr) - 75401

A Tinder/Hinge-like platform that algorithmically matches people looking for cofounders or just exploring ideas for the tech space and beyond.

Backed by exited founders, YC-backed founders, and angel investors from Google, Meta, Quantum Black and more.

Previously a startup community platform with the same name (June 2022 - June 2023) before focusing specifically on the cofounder matching/ idea exploration space.

Industry: Social Networking Platforms
Company Size: 2-10 employees

CoffeeSpace

**About the job **

**Job Title: ** Deployment Strategist

**Salary: ** $157K – $210K + competitive equity

**Company Description: ** YC-backed AI banking infrastructure startup, $33M raised, replacing legacy systems at Tier 1 US banks

**Job Description: ** Join a 35-person team that is building AGI for banking. Legacy loan origination systems took decades to build and this company is replacing them with AI-native infrastructure that automates 90% of the manual work that humans currently do. Founded by Stanford banking IT experts and AI researchers with veterans from Goldman Sachs and top research institutions. Already working directly with Tier 1 US banks with proven results including 90% less manual processing effort and 300% higher loan conversion rates for FDIC-insured banks. Backed by $33M from Y Combinator and major institutional investors including banks themselves. As a Deployment Strategist you will lead the on-the-ground deployment of the AI platform into major US banks, sitting at the intersection of consulting, technical integration, and product ownership.

**Location: ** San Francisco, CA (Market and Montgomery), 5 days in-office plus travel to client sites at least 1 week per month | No visa sponsorship

**Why this role is remarkable: **

- Work directly with Tier 1 US banks to replace legacy systems that took decades to build, at a company that already has proven product market fit with 90% less manual effort and 300% higher conversion rates, meaning you are deploying something that works rather than selling a promise

- Join at the Series A of a YC-backed company founded by Stanford banking and AI experts with deep domain expertise and major bank partnerships already secured, with real equity upside and direct access to founders and leadership from day one

- Own the entire deployment lifecycle end-to-end at the intersection of consulting, technical integration, and client relationship management, in a role that creates structure from chaos rather than executing inside a pre-built playbook

**What you will do: **

- Lead the deployment of the AI platform into major US banks, managing both business process definition and technical integration, owning the project cadence, leading standups, tracking progress, and testing software directly with client teams on the ground

- Serve as the voice of the client, translating their needs and feedback into actionable feature requests for product and engineering, and building the client-facing decks and project workstreams that keep complex multi-stakeholder deployments on track

- Travel to client sites at least one week per month, working directly with bank executives and operations teams to drive adoption, resolve integration challenges, and unlock new value from the platform as it scales across the institution

**The ideal candidate: **

- 2 or more years of experience in management consulting at an MBB firm from a tier 1 city office, or from the tech arm of a top firm like BCGX or QuantumBlack, or a technical background in software engineering or product management followed by a top MBA from a program like HBS or GSB

- Strong foundational consulting skillset including building client-facing decks and managing complex project workstreams, plus genuine technical depth across APIs, data models, and system integrations, and experience at a high-growth early-stage startup is a strong plus

- High ownership mindset with the ability to create structure from chaos, willing to work in the San Francisco office 5 days a week and travel to client sites at least one week per month, and genuinely excited about moving into an early-stage environment rather than a structured large firm

**Next steps: **

- Apply via this LinkedIn job post

- We will review and reach out if there is a strong match

- If aligned, we will introduce you directly to the team

- If this role is not the right fit, we may suggest and make introductions to other high-signal startup roles we are actively recruiting for, always with your permission

**A quick note on authenticity: ** This is a real, active role we are supporting in close partnership with the hiring team. We do not post speculative roles and work closely with teams on their actual hiring needs.

Deployment Strategist ($157K - $210K + Equity) at YC-backed AI Fintech Startup

**About Turing **

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

**Role Overview **

Turing is looking for Investment Banking professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in M&A advisory, capital raising, financial modeling, and deal structuring to evaluate and train AI systems. If you enjoy solving complex problems in investment banking and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.

**What Does Day-to-Day Look Like **

- Evaluate LLM models on investment banking topics such as M&A deal analysis, LBO modelling, accretion/dilution analysis, and pitch book creation.

- Create rubrics to assess model capabilities on tasks like deal structuring, valuation (DCF, precedent transactions, comps), and due diligence assessments.

- Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.

**Requirements **

- 2+ years of experience in Investment Banking (e.g., M&A advisory, ECM, DCM, leveraged finance, or restructuring).

- Strong grasp of financial modelling, deal structuring, valuation methodologies, and corporate finance principles.

- Excellent English written communication.

**Bonuses (Not at All Necessary) **

- CFA (Level I/II/III) or MBA in Finance.

**Perks of Freelancing with Turing **

- Work on the cutting edge of AI and finance.

- Fully remote and flexible work environment.

- Competitive hourly compensation of ~$100+/hour depending on experience.

**Offer Details **

- Commitment: Flexible, 10–30 hrs/week.

- Duration: ~1 month, with the possibility of extension based on performance and project needs.

**After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. **

**We’re actively hiring for this role. If you know exceptional talent, please refer them at turing.com/referrals and earn money for successful referrals. **

Remote Investment Banking Analyst ($100/hr) - 75404

Qofi’s mission is to bridge the gap between human expertise and AI-driven efficiency, empowering teams to achieve more with their data.

At Qofi, we believe that the future of our industry should be shaped by the people working in it. Our platform is designed to streamline complex workflows, helping businesses harness the power of artificial intelligence to drive growth, and foster innovation. Qofi is redefining how we create and process data toward actionable, intelligent insights.

To foster a community of innovation and professional growth, we encourage collaborative discussion on this page. Please keep the following in mind:
• Lead with curiosity. AI is a fast-moving field; let’s explore its potential together with an open mind.
• Keep it professional. We value diverse perspectives and ask that all interactions remain respectful and constructive.
• Focus on the future. Use this space to share ideas, ask questions, and help shape the future of intelligent work.
• Community first. Our team monitors this page to ensure it remains a helpful resource for all our followers.

- Seeking Support? For technical inquiries or platform assistance, please contact our support team at support@qofi.ai.

- For a full listing of our open roles and to join our journey, visit www.qofi.ai/joinqofi or email us at careers@qofi.ai

Industry: Software Development
Company Size: 2-10 employees

Qofi

Please apply directly using this link: https://www.qofi.ai/joinqofi

**Company Description **

Qofi partners with leading AI researchers to train frontier models on expert-level tax and financial work. You will create high-quality research artifacts that teach AI systems how experienced tax professionals think. You will be paid competitively, work on your own schedule, and directly influence how millions use AI for enterprise tax analysis.

**Role Description **

Qofi is recruiting Tax Managers for a research project with a leading foundational model AI lab. We are open to a range of seniority levels, from experienced associates to senior practitioners.

- We are looking for Tax Managers with enterprise tax expertise who want to shape the future of AI in professional tax practice.

- You will draft and review technical tax research questions, gold-standard answers, citations, and grading rubrics across enterprise tax domains including Federal Corporate Tax, State & Local Tax (SALT), Partnership Tax, Tax Controversy & Procedure, Transfer Pricing, and Reporting & Disclosure.

- You will translate complex, multi-step tax scenarios into clear, structured questions with technically accurate answers and authoritative citations (IRC, Treasury Regulations, case law, IRS guidance).

- Comfort with ambiguous or multi-step tax scenarios and strong attention to detail are important.

- We will provide training resources and guidelines to help you learn data labeling and question authoring techniques.

- You must be able to commit at least 15 hours per week for this role.

- Positions are available now with a goal of completing data collection by the week of June 8. New hires are able to start immediately.

- We offer opportunities for career development for top performers.

The application process includes:

- Introductory questionnaire (5 minutes)

- Technical test (candidates will receive compensation for passing the test)

Qofi members work as independent contractors on project based engagements

- You will be engaged as an independent contractor in a fully remote role that can be completed on your own schedule.

- Project contracts can be lengthened, shortened, or ended early depending on needs and performance.

- Your work at Qofi will not involve access to confidential or proprietary information from any employer, client, or institution.

- Payments are made weekly via direct deposit based on hours worked.

- Positions are available now. New hires are able to start immediately.

**Qualifications **

- CPA or JD preferred

- Background at a Big 4 tax advisory firm, large regional firm, or in-house tax team strongly preferred

- Expertise in one or more enterprise tax domains including Federal Corporate Tax, State & Local Tax (SALT), Partnership Tax, Tax Controversy & Procedure, Transfer Pricing, and Reporting & Disclosure

- 3-10+ years of relevant enterprise tax experience

- Strong background in technical tax research and memo drafting

- Familiarity with IRC, Treasury Regulations, case law, and IRS guidance

- Ability to translate complex tax issues into clear, structured questions

- High attention to detail and technical accuracy

- Strong written communication skills

**Nice to Have **

- Experience with AI, data annotation, or evaluation projects

- Exposure to tax technology or automation tools

- Experience managing complex tax engagements and reviewing technical work product a plus

Tax Manager $50-100/hour

**bout Turing: **

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.

Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

**About the Role: **

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

**Responsibilities: **

- Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.

- Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.

- Provide detailed, well-structured justifications to support evaluation decisions.

- Follow established evaluation guidelines and quality standards consistently.

- Use browser-based tools and extensions to support analysis and review tasks.

- Execute simple command-line instructions when required to support evaluation workflows.

- Document findings clearly and communicate insights to stakeholders when needed.

**Requirements: **

- Solid comfort using a computer in a professional setting.

- Experience working with browser extensions and online tools.

- Ability to run basic command-line commands (no advanced programming required).

- Strong analytical and critical thinking skills.

- High attention to detail and ability to justify decisions clearly and objectively.

- Comfortable working with evaluation frameworks, comparisons, and structured analysis.

- Good written communication skills in English.

**Nice to Have: **

- Previous experience with evaluation, annotation, QA, or audit-type work.

- Familiarity with data quality, content evaluation, or model/output assessments.

- Background in business analysis, operations, or process improvement.

**Perks of Freelancing With Turing: **

- Competitive compensation based on experience and expertise.

- Flexible working hours and a fully remote environment.

- Opportunity to contribute to impactful research initiatives.

- Potential for contract extension based on performance and project needs.

**Offer Details: **

- Commitment Required: 30 hours per week minimum.

- Engagement Type: Contractor/Freelancer (no medical or paid leave).

- Time Overlap: Some overlap with UTC-8:00 (2–5 hrs/day) America/Los_Angeles.

**Application Process: **

- Shortlisted candidates will be invited to complete an analytical challenge.

- Once the assessment is cleared, you’re ready to start contributing!

**After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. **

Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

Remote Business Analyst - 57510

Powered by Labelbox. Earn money by teaching AI models. Get paid to align groundbreaking AI models with your expertise

Industry: Technology, Information and Internet
Company Size: 11-50 employees

Alignerr

**Semiconductor Material Science Expert (AI Training)**

**About The Role**

What if your deep expertise in semiconductor materials or molecular modeling could directly shape how AI reasons through some of the most complex problems in modern science? We're looking for Materials Science specialists — Masters and PhD holders — to work alongside leading AI research teams and help train the next generation of AI models.

This is a fully remote, flexible contract role built for researchers and domain experts who want to do meaningful, high-impact work on their own schedule.

- Organization: Alignerr

- Type: Hourly Contract

- Location: Remote

- Commitment: 10–40 hours/week

**What You'll Do**

- Develop, solve, and critically review advanced material science problems with real-world relevance

- Apply your expertise in semiconductor materials, molecular modeling, or related domains to craft complex, rigorous problem statements

- Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning

- Evaluate AI-generated scientific content for accuracy, depth, and methodological soundness

- Ensure scientific rigor, clarity, and precision across all deliverables

- Work independently on task-based assignments at a pace that suits you

**Who You Are**

- Master's or PhD in Material Science, or a closely related field, from a recognized university

- Strong expertise in semiconductor materials, molecular modeling, or adjacent areas

- Comfortable coding in Python or MATLAB for research applications or technical problem-solving

- Exceptional written and verbal communication skills with a sharp attention to detail

- Self-motivated, rigorous, and reliable when working independently

- Fluent in English

**Nice to Have**

- Prior experience with data annotation, data quality assurance, or AI evaluation workflows

- Familiarity with AI tools, large language models, or scientific benchmarking

- Background spanning multiple subfields within materials science or applied physics

- Experience writing or reviewing technical documentation, research papers, or educational content

**Why Join Us**

- Work on cutting-edge AI projects alongside the world's leading AI research labs

- Fully remote and flexible — work when and where it suits you

- Freelance autonomy with the structure of meaningful, task-based work

- Make a direct, tangible impact on how AI understands and reasons through advanced scientific problems

- Potential for ongoing work and contract extension as new projects launch

Semiconductor Material Science (Masters/PhDs)

Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU cloud, clusters, servers, and workstations. Our products power engineers and researchers at the forefront of human knowledge. Customers include Intel, Microsoft, Google, Amazon Research, Tencent, Kaiser Permanente, MIT, Stanford, Harvard, Caltech, Los Alamos National Lab, Disney, and the Department of Defense.

Industry: Software Development
Company Size: 201-500 employees

Lambda

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

- Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

**The Opportunity**

We're looking for a Head of Corporate Strategy to serve as a key strategic thought partner to the SVP of Commercial Strategy and Lambda's senior leadership team. As we scale rapidly across GPU cloud, data center infrastructure, and AI systems, we need a seasoned strategist who can independently own Lambda's corporate strategy function—synthesizing market intelligence, competitive dynamics, and internal data into clear strategic choices—and drive high-priority cross-functional initiatives from concept to execution. This role sits at the intersection of long-range planning, commercial strategy, M&A and technology evaluation, executive communication, and will have high visibility with the CEO and C-suite.

**What You'll Do**

- Lead Corporate Strategy & Long-Range Planning

- Own Lambda's annual and multi-year strategic planning process, synthesizing input from commercial, product, finance, and operations into a cohesive corporate strategy

- Identify and size emerging opportunities in AI infrastructure, GPU cloud, and adjacent markets; develop strategic frameworks to guide investment and build/buy/partner decisions

- Lead competitive intelligence efforts—tracking hyperscalers, co-location providers, GPU cloud competitors, and AI-native challengers—and translate insights into executive recommendations

- Partner with the CFO and Finance to align the long-range strategic plan with the financial model and capital allocation priorities

- Drive Executive Communication & Stakeholder Alignment

- Develop board-level strategy materials and CEO decision-support documents

- Drive alignment across senior leadership on strategic priorities; create clear frameworks to resolve competing resource and investment decisions

- Prepare the CEO and SVP for external strategy conversations, including customer EBRs, partner discussions, and industry forums

- Support Commercial Strategy

- Partner with the SVP of Commercial Strategy on go-to-market architecture, pricing strategy, and large deal structuring for enterprise and hyperscaler accounts

- Lead cross-functional projects on behalf of the SVP, ensuring workstreams deliver on time and at C-suite quality bar

- Support Strategic Technology Evaluation

- Own the framework for evaluating long range strategic technology areas that maybe synergistic with Lambda’s current business —from initial screening and thesis development through diligence and recommendation. This includes assess emerging technologies, AI software platforms, hardware capabilities, and infrastructure tooling for strategic fit, competitive differentiation, and build/buy/partner trade-offs

- Develop and maintain a structured pipeline of potential partnership opportunities in AI infrastructure, silicon, networking, and adjacent software markets while working closely with the corporate development team on potential M&A fit.

- Lead financial and strategic diligence workstreams: market sizing, competitive positioning, synergy modeling, integration risk assessment, and long-range value creation scenarios

- Build Market & Organizational Intelligence

- Build and maintain Lambda's strategic market model—tracking TAM/SAM, competitive positioning, win/loss patterns, and customer segment dynamics

- Synthesize signals from Sales, Product, Data Center Ops, and Finance into strategic insight for senior leadership

- Develop Lambda's perspective on macro trends shaping AI infrastructure demand: model training workloads, inference at scale, sovereign AI, and enterprise adoption curves

- Mentor and develop strategy analysts and associates; scale team output as the function grows

**What You'll Have**

- 10+ years of experience across strategy consulting (McKinsey, BCG, Bain, or equivalent), investment banking, and/or corporate strategy at a high-growth or publicly traded technology company

- Deep expertise in AI, cloud infrastructure, or data center markets; ability to independently develop and own market models, competitive landscapes, and investment theses

- Demonstrated track record of independently translating ambiguous, high-stakes strategic questions into boardroom-ready frameworks and executive recommendations

- Experience leading large, cross-functional strategic initiatives with direct C-suite accountability and material impact on company direction

- Familiarity evaluating AI software, hardware, or infrastructure technologies for strategic fit; ability to engage credibly with technical teams on architecture and capability assessments

- Prior role as a right-hand strategic partner to a CCO, CRO, or President in a commercial strategy capacity is valued

- Track record of building, mentoring, or managing strategy teams; ability to develop junior talent and scale team output

- Exceptional written and verbal communication skills; proven ability to develop and deliver board-level strategy materials

- Operates with VP-adjacent ownership—sets the agenda, manages ambiguity, and builds the function rather than just executing within it

**Education & Credentials**

- Bachelor's degree in Economics, Finance, Business, or related field required

- MBA from a top-tier institution strongly preferred

- Prior experience in a structured analytical training program (consulting, banking, or equivalent) strongly preferred

**Salary Range Information**

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

**About Lambda**

- Founded in 2012, with 500+ employees, and growing fast

- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove

- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

- Our values are publicly available: https://lambda.ai/careers

- We offer generous cash & equity compensation

- Health, dental, and vision coverage for you and your dependents

- Wellness and commuter stipends for select roles

- 401k Plan with 2% company match (USA employees)

- Flexible paid time off plan that we all actually use

**A Final Note**

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

**Equal Opportunity Employer**

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Compensation Range: $300K - $450K

Head of Corporate Strategy

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

- Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

**The Opportunity**

We're looking for a Head of Corporate Strategy to serve as a key strategic thought partner to the SVP of Commercial Strategy and Lambda's senior leadership team. As we scale rapidly across GPU cloud, data center infrastructure, and AI systems, we need a seasoned strategist who can independently own Lambda's corporate strategy function—synthesizing market intelligence, competitive dynamics, and internal data into clear strategic choices—and drive high-priority cross-functional initiatives from concept to execution. This role sits at the intersection of long-range planning, commercial strategy, M&A and technology evaluation, executive communication, and will have high visibility with the CEO and C-suite.

**What You'll Do**

- Lead Corporate Strategy & Long-Range Planning

- Own Lambda's annual and multi-year strategic planning process, synthesizing input from commercial, product, finance, and operations into a cohesive corporate strategy

- Identify and size emerging opportunities in AI infrastructure, GPU cloud, and adjacent markets; develop strategic frameworks to guide investment and build/buy/partner decisions

- Lead competitive intelligence efforts—tracking hyperscalers, co-location providers, GPU cloud competitors, and AI-native challengers—and translate insights into executive recommendations

- Partner with the CFO and Finance to align the long-range strategic plan with the financial model and capital allocation priorities

- Drive Executive Communication & Stakeholder Alignment

- Develop board-level strategy materials and CEO decision-support documents

- Drive alignment across senior leadership on strategic priorities; create clear frameworks to resolve competing resource and investment decisions

- Prepare the CEO and SVP for external strategy conversations, including customer EBRs, partner discussions, and industry forums

- Support Commercial Strategy

- Partner with the SVP of Commercial Strategy on go-to-market architecture, pricing strategy, and large deal structuring for enterprise and hyperscaler accounts

- Lead cross-functional projects on behalf of the SVP, ensuring workstreams deliver on time and at C-suite quality bar

- Support Strategic Technology Evaluation

- Own the framework for evaluating long range strategic technology areas that maybe synergistic with Lambda’s current business —from initial screening and thesis development through diligence and recommendation. This includes assess emerging technologies, AI software platforms, hardware capabilities, and infrastructure tooling for strategic fit, competitive differentiation, and build/buy/partner trade-offs

- Develop and maintain a structured pipeline of potential partnership opportunities in AI infrastructure, silicon, networking, and adjacent software markets while working closely with the corporate development team on potential M&A fit.

- Lead financial and strategic diligence workstreams: market sizing, competitive positioning, synergy modeling, integration risk assessment, and long-range value creation scenarios

- Build Market & Organizational Intelligence

- Build and maintain Lambda's strategic market model—tracking TAM/SAM, competitive positioning, win/loss patterns, and customer segment dynamics

- Synthesize signals from Sales, Product, Data Center Ops, and Finance into strategic insight for senior leadership

- Develop Lambda's perspective on macro trends shaping AI infrastructure demand: model training workloads, inference at scale, sovereign AI, and enterprise adoption curves

- Mentor and develop strategy analysts and associates; scale team output as the function grows

**What You'll Have**

- 10+ years of experience across strategy consulting (McKinsey, BCG, Bain, or equivalent), investment banking, and/or corporate strategy at a high-growth or publicly traded technology company

- Deep expertise in AI, cloud infrastructure, or data center markets; ability to independently develop and own market models, competitive landscapes, and investment theses

- Demonstrated track record of independently translating ambiguous, high-stakes strategic questions into boardroom-ready frameworks and executive recommendations

- Experience leading large, cross-functional strategic initiatives with direct C-suite accountability and material impact on company direction

- Familiarity evaluating AI software, hardware, or infrastructure technologies for strategic fit; ability to engage credibly with technical teams on architecture and capability assessments

- Prior role as a right-hand strategic partner to a CCO, CRO, or President in a commercial strategy capacity is valued

- Track record of building, mentoring, or managing strategy teams; ability to develop junior talent and scale team output

- Exceptional written and verbal communication skills; proven ability to develop and deliver board-level strategy materials

- Operates with VP-adjacent ownership—sets the agenda, manages ambiguity, and builds the function rather than just executing within it

**Education & Credentials**

- Bachelor's degree in Economics, Finance, Business, or related field required

- MBA from a top-tier institution strongly preferred

- Prior experience in a structured analytical training program (consulting, banking, or equivalent) strongly preferred

**Salary Range Information**

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

**About Lambda**

- Founded in 2012, with 500+ employees, and growing fast

- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove

- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

- Our values are publicly available: https://lambda.ai/careers

- We offer generous cash & equity compensation

- Health, dental, and vision coverage for you and your dependents

- Wellness and commuter stipends for select roles

- 401k Plan with 2% company match (USA employees)

- Flexible paid time off plan that we all actually use

**A Final Note:**

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

**Equal Opportunity Employer**

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Compensation Range: $300K - $450K

**About Turing: **

Based in San Francisco, California, Turing is the world’s leading **research accelerator **for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into **proprietary intelligence **with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

**Role Overview: **

We’re seeking creative and charismatic storytellers to join a cutting-edge initiative designed to train AI systems to better understand and describe the world in a natural, engaging way.

As a City Guide Video Creator, you’ll act as a local narrator, producing short, dynamic “walk-and-talk” videos that showcase interesting locations near you. You’ll help capture authentic, human perspectives that reflect the character, diversity, and beauty of your surroundings.

**What You’ll Do Day-to-Day: **

- Create 1–5 minute “walk-and-talk” videos highlighting public places in your city (parks, landmarks, markets, or cultural spots).

- Speak naturally on camera, providing friendly, conversational commentary as if guiding a viewer in person.

- Record smooth, steady footage using your smartphone or camera with clear audio.

- Choose safe, public locations where filming is legally allowed.

- Follow provided creative guidelines, ensuring each video has a clear introduction, middle section, and conclusion.

- Submit videos along with accurate location details (name and address or coordinates).

- Respect privacy and safety best practices when filming in public areas.

**Requirements: **

- Comfortable speaking on camera in English with clear communication.

- Creative, personable, and confident presence on video.

- Owns a smartphone or recording device with good video and audio quality.

- Reliable internet connection for uploading videos.

- Ability to follow task guidelines and deliver videos on schedule.

**Nice to Have: **

- Background or interest in vlogging, photography, tourism, or performing arts.

- Experience creating videos for YouTube, TikTok, or Instagram Reels.

- Familiarity with basic video editing or framing techniques..

**Perks of Freelancing With Turing: **

- Fully remote, flexible work — film in your local area on your own time.

- Opportunity to contribute to advanced AI research and multimodal data projects.

- Collaborate on creative, real-world tasks that shape how AI learns from human behavior.

- Potential for extended collaboration based on performance and project needs.

**Offer Details: **

- **Commitments Required : ** Minimum 20/30/40 per week is allowed. This contract assignment may require 4 hr overlap with PT Time .

- **Engagement type : ** Contractor assignment/freelancer (no medical/paid leave)

- **Duration of contract ** : 10 weeks and can be extended

- **Location ** : United States only

Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

Social Media Video Creator - 62562

General Motors’ vision is to create a world with Zero Crashes, Zero Emissions and Zero Congestion, and we have committed ourselves to leading the way toward this future. Today, we are in the midst of a transportation revolution, and we have the ambition, the talent and the technology to realize the safer, better and more sustainable world we want. As an open, inclusive company, we’re also creating an environment where everyone feels welcomed and valued for who they are. One team, where all ideas are considered and heard, where everyone can contribute to their fullest potential, with a culture based in respect, integrity, accountability and equality. Our team brings wide-ranging perspectives and experiences to solving the complex transportation challenges of today and tomorrow.

For information on the GM Privacy Statement, please visit http://www.gm.com/privacy-statement.html

Industry: Motor Vehicle Manufacturing
Company Size: 10,001+ employees

General Motors

**Job Description**

**The Role**

The Senior Data Engineer, AI and Robotics will join the AI Research team within the Autonomous Robotics Center (ARC). This role owns the robotics data backbone that enables scalable robot learning in manufacturing — from data capture and curation through versioning, serving, and auditing. Your work will make model development reproducible, testable, and production-ready.

This is a robotics and machine learning (ML) infrastructure role, focused on multimodal robotic datasets and continuous model iteration. You will partner closely with AI researchers, robotics engineers, and plant teams to turn real-world robot behavior and failures into high-quality training data and robust production systems.

**What You’ll Do**

- Build and operate multimodal data pipelines for robotics (e.g., vision, depth, force/torque, joint states, events, metadata), including reliable capture from lab and plant-adjacent cells.

- Implement reproducible data logging and replay workflows (including ROS 2 bagging where applicable) to enable debugging, regression testing, and dataset construction.

- Own dataset lifecycle management, including versioning and lineage, provenance, governance, and data quality gates to support trustworthy model training and evaluation.

- Integrate experiment tracking and model/data traceability so teams can compare runs, reproduce results, and audit changes over time.

- Establish MLOps automation patterns (CI/CD/CT-style pipelines for ML) that reduce manual toil and increase deployment confidence for robotics AI updates.

- Partner with AI/ML, planning, and validation teams to define data contracts (schemas, labeling standards, failure taxonomies) and turn field failures into curated training datasets.

**What You’ll Need (Required Qualifications)**

- B.S. or M.S. in Computer Science, Computer Engineering, Data Engineering, or a related field.

- 6+ years of experience building production data systems and/or ML infrastructure, with practical experience supporting training pipelines end-to-end.

- Strong proficiency in Python and at least one of: C++, Scala, or Java.

- Demonstrated engineering discipline in testing, documentation, and operational reliability.

- Experience with dataset versioning, lineage, and reproducibility tooling (e.g., DVC or equivalent approaches).

- Experience with experiment tracking and model registry patterns (e.g., MLflow or equivalent tools).

- Ability to work onsite with hardware and robotics teams, and to design pipelines that handle real-world robotic logging constraints (e.g., bandwidth limits, dropped frames, timing drift).

**What Will Give You a Competitive Edge (Preferred Qualifications)**

- Hands-on robotics logging and replay experience (e.g., ROS 2 bags, system telemetry pipelines).

- Experience with simulation-to-real data workflows and dataset synthesis strategies.

- Familiarity with data governance requirements and auditability in safety-adjacent or safety-critical systems.

- Experience building tools to support data labeling workflows, quality assurance, and active learning loops.

**About GM**

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

**Why Join Us**

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

**Benefits Overview**

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting **Total Rewards resources **.

**Non-Discrimination and Equal Employment Opportunities (U.S.)**

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit **How we Hire **.

**Accommodations**

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, **email ** us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Senior Data Engineer, AI&Robotics

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Industry: Technology, Information and Internet
Company Size: 2-10 employees

Stealth Startup

About the Role

We are seeking an exceptional Lead Researcher to lead and scale a world-class AI research organization focused on advancing the state of the art in machine learning, large language models, and applied AI systems. This role is both **strategic and hands-on **, responsible for defining long-term research vision while actively contributing to breakthrough innovations that directly impact product and business outcomes.

As Head of Research, you will build, mentor, and manage a high-caliber team of researchers and research engineers, partner closely with executive leadership, and translate cutting-edge research into scalable, real-world systems.

Key Responsibilities

- Define and own the **research vision and roadmap **, aligned with company strategy and long-term goals

- Lead and grow a team of **AI Researchers, Applied Scientists, and Research Engineers **

- Drive innovation across areas such as:

- Large Language Models (LLMs)

- Reasoning and planning systems

- Representation learning

- Robustness, safety, and evaluation

- Multimodal and agent-based systems

- Balance **long-horizon exploratory research ** with **near-term applied research ** that powers products

- Ensure research excellence through strong scientific rigor, reproducibility, and evaluation standards

- Collaborate with Product, Engineering, and Leadership to transition research into production

- Represent the company externally through publications, conferences, and industry engagement

- Establish best practices for research processes, tooling, and infrastructure

- Mentor senior researchers and develop future research leaders

Required Qualifications

- PhD in Computer Science, Machine Learning, AI, or a closely related field (or equivalent research experience)

- 0-7 years of experience in AI/ML research, with at least several years in a **research role **

- Proven track record of **high-impact research contributions ** (top-tier conferences, journals, or widely adopted systems)

- Deep expertise in modern ML techniques, especially **LLMs, deep learning, and foundation models **

- Experience leading and scaling research teams in industry or advanced research labs

- Strong understanding of the tradeoffs between research innovation and production constraints

- Ability to communicate complex technical ideas clearly to both technical and non-technical stakeholders

Preferred Qualifications

- Experience leading research at a top AI lab, FAANG company, or well-known AI startup

- Publications at leading venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)

- Experience with model training at scale, including distributed systems and ML infrastructure

- Background in deploying research models into real-world products

- Prior experience influencing company-level technical strategy

What We Offer

- **Base salary up to $500,000 **, plus competitive equity

- Opportunity to shape the future direction of cutting-edge AI research

- Access to significant compute and research resources

- Collaboration with elite engineers, researchers, and product leaders

- A culture that values deep thinking, experimentation, and long-term impact

AI Researcher - LLMs [32814]

AI Scientist - LLMs [32826]

We use AI to understand human ability and match talent with the opportunities they're best suited for.

Industry: Software Development
Company Size: 51-200 employees

Mercor

**About The Job**

**Mercor ** connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include **Benchmark **, **General Catalyst **, **Peter Thiel **, **Adam D'Angelo **, **Larry Summers **, and **Jack Dorsey **.

**Position: ** Professor in STEM Domains

**Type: ** **W2 Employment**

**Compensation: ** **$55–$85/hour**

**Location: ** **Remote**

**Commitment: ** **30+ hours/week**

**Role Responsibilities**

- Design challenging, real-world domain-specific problems for agentic tasks. Target core capability loss failures in frontier AI models.

- Integrate problems into an Agentic development environment using Python. Prepare detailed instructions, a golden solution, and consult with domain experts.

- Evaluate cross-model performance on tasks to identify logical reasoning failures.

- Identify tasks where the target model fails all tests. Classify failures as logical reasoning issues.

- Analyze agent steps to extract core capability loss patterns from the model.

**Qualifications**

**Must-Have**

- Current or retired professor within STEM, including ML, coding, data science.

- Degree in Computer Science, Data Science, or relevant STEM field.

- Ability to engage reliably for at least 30 hours/week during weekdays.

- Basic ability to work independently and manage time.

- Strong verbal and written communication skills.

**Preferred**

- Past experience in AI training, model evaluation, and data annotation.

**Application Process (Takes 20–30 mins to complete)**

- Upload resume

- AI interview based on your resume

- Submit form

**Resources & Support**

- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome

- For any help or support, reach out to: support@mercor.com

~~PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.~~

,

AI Researcher

Implicity® is a digital MedTech company - founded by cardiac electrophysiologist Arnaud Rosier MD - that provides a universal cardiac remote monitoring and research platform to hospitals and clinics - helping them provide the best remote care to cardiac patients. 

Implicity develops unique AI and knowledge-based algorithms with the potential to predict patient health status, reducing healthcare professionals' workload.

The Implicity platform aggregates, normalizes, and standardizes data from all implantable cardiac electronic devices across all major manufacturers - and improves care for patients with chronic heart failure conditions. Implicity proudly protects over 100,000 patients in more than 250 medical facilities across the United States and Europe.

www.implicity.com

Industry: Hôpitaux et services de santé
Company Size: 51-200 employés

Implicity

**About us **Implicity is a digital MedTech company delivering advanced innovation to cardiologists through Big Data and Artificial Intelligence.

Our industry-leading cardiac remote monitoring platform simplifies the management of complex clinical data and enables earlier identification of patient issues—helping clinicians deliver the right care at the right time.

In short, joining Implicity means contributing directly to improved patient outcomes.

Founded in 2016 by Dr. Arnaud Rosier, a cardiologist and AI researcher, and David Perlmutter, an engineer and entrepreneur, Implicity has grown into a transformative force in cardiac care.

More than a decade later, this French startup-turned-scale-up is helping shape the future of cardiology on a global scale.

- Over 250 hospitals and medical centers already use Implicity’s solutions

- Supporting more than 100,000 patients worldwide

At Implicity, you’ll collaborate with experts across data science, engineering, clinical affairs, regulatory, IT, sales, and customer success, all working together toward a shared mission.

The team has established Implicity as a clear European market leader and is now expanding rapidly in the U.S.

**Why Implicity**

- Patients receive higher-quality, more proactive care

- Physicians spend less time managing data and administrative burden, allowing greater focus on prevention and treatment

- Healthcare payers benefit from lower overall costs by emphasizing monitoring and prevention over hospitalization and acute intervention

Ready to get started?

We’d love to connect.

Want to Learn More?

- Our website: https://www.implicity.com/about-us/

- Our team: https://www.welcometothejungle.com/fr/companies/implicity/team-1

- Our other opening jobs: https://www.implicity.com/careers/

**Job DescriptionPosition Overview**

The Senior Solutions Consultant is a strategic pre-sales partner responsible for accelerating complex sales cycles and validating clinical, technical, and operational fit for Implicity’s cardiac remote monitoring platform.

As a key member of the US Sales team, this role partners closely with Regional Sales Leaders to support enterprise opportunities, lead solution design discussions, and address workflow, integration, and billing considerations that impact deal progression and close rates.

This individual brings clinical and operational expertise into the sales process to help healthcare organizations evaluate scalable monitoring models while ensuring alignment between customer requirements and Implicity’s platform capabilities.

**Key Responsibilities**

Sales Partnership & Deal Acceleration

- Partner with Regional Sales Managers/Directors on complex and enterprise sales opportunities

- Support clinical, technical, and operational discovery conversations with customer stakeholders

- Identify and address workflow, integration, and billing considerations that may impact deal progression

- Support product demonstrations, technical validation, and solution positioning

- Contribute to deal strategy by helping quantify operational and financial value

**Solution Design & Pre-Sale Validation**

- Assess customer clinical workflows, staffing models, and infrastructure during the sales cycle

- Provide guidance on scalable remote monitoring program design aligned to Implicity capabilities

- Identify potential implementation risks and operational gaps prior to contract execution

- Support alignment between customer expectations and platform functionality

- Validate Customer Plan to ensure the following is met - Customer Objectives, EHR Integration, Current Clinic and Billing Workflow

**Sales Enablement & Market Feedback**

- Train and support direct and in-direct sales teams on clinical workflows, use cases, and solution positioning

- Develop and refine messaging around operational and economic value drivers

- Provide structured feedback to Product and Customer Success based on field insights

- Help standardize best practices for solution positioning across target customer segments

**QualificationsEducation & Experience**

- Bachelor’s degree or equivalent professional experience.

- Minimum of five years of medical device or digital health sales experience; cardiology preferred.

- Experience selling into hospital systems and working with complex clinical stakeholders.

- Knowledge of remote cardiac monitoring, reimbursement pathways, and SaaS based healthcare solutions strongly preferred.

- Understanding of CIED monitoring workflows.

- Familiarity with CPT coding and remote monitoring reimbursement models.

- Strong consultative problem‑solving skills.

- Clinical operations or device clinic background.

- Prior solutions consulting, sales engineering, or clinical consulting experience.

**Skills & Attributes**

- Consultative, outcomes driven sales mindset.

- Strong communication and executive level presentation skills.

- Comfortable operating independently in a fast paced, evolving environment.

- High integrity, accountability, and customer first orientation.

- Technically proficient with CRM systems and modern productivity tools.

**Travel**

- Willingness to travel within the assigned region (approximately 25–75%).

**Recruitment process**

-  Discovery call with our VP of US Sales – 45 min - G-meet

-  HR screen call with our Recruitment team – 30 min - G-meet

-  Business assessment interview with Sales team - 1 hour - remote

-  Meet the partner team with our Customer Success team – remote

-  Final interview with our CEO or COO - 1h min

-  Reference / background checks

-  Offer

Depending on your availability, the recruitment process should last less than 4 weeks.

**General information ****Salary**

- For this job (permanent), you have a base salary $130k and a variable salary

**Benefits**

- Extensive coverage, including dental & vision, financed at 90% by Implicity (70% for dependents)

- 401K : up to 4% match

- 25 PTO + 9 bank holidays

- Maternity (paternity) leave policy: 4 weeks (2 weeks) fully paid

**Location**

- Remote work

- Area: Eastern or Central U.S.

Senior Solutions Consultant

We build AI agents that learn how a business operates, then automate the work.
AI models are intelligent but generic. Every business runs on specific processes that live in people's heads, stale documents, and ticket histories. Our AI agents reverse-engineer how a business actually runs from existing systems and create executable knowledge: structured, white-box instructions agents can act on.

We’re a Series A startup, backed by Sequoia and other leading VC firms. And we’re hiring in New York and London.

Industry: Technology, Information and Internet
Company Size: 11-50 employees

Edra

**About Edra**

Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations.

We're a Series A startup, backed by Sequoia and other leading VC firms, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build.

**The Role**

We're looking for Full Stack Engineers who care deeply about the craft of building software: strong typing, thoughtful API design, robust data modeling, and interfaces that are a pleasure for both users and other engineers to work with. You won't be building AI models–you'll be building everything around them: the platform, workflows, user-facing experiences, integrations, and observability that make our AI useful in the real world. As an early engineer at Edra, you'll shape not just the product but the engineering culture, tooling choices, and technical foundations the company is built on.

We work deliberately and deeply. There's no separation between "building it" and "shipping it"--you'll go from whiteboard to production and own the outcome. We'd rather build something thoughtfully than ship something fragile, and we treat velocity and quality as complementary, not competing.

**What You'll Do**

- Design and build platform systems in Python (FastAPI)--from API contracts to database schema and infrastructure–and high-quality user-facing experiences in TypeScript and React, with an emphasis on clean component design, strong typing, and maintainable frontends

- Build shared TypeScript and Python libraries, component systems, and internal tooling that make the rest of the engineering team more productive. Define and enforce patterns, shared types, and contracts across the frontend and API boundary

- Own your work fully: gather context, manage dependencies, and drive tasks to completion without a product manager handing you tickets. You might design a schema in the morning, build a React component in the afternoon, and debug a deployment issue before end of day

- Contribute to the direction and design of our product. Work closely with design, reason clearly about interface decisions, and participate in weekly product meetings to understand how customers and forward-deployed engineers use what you build

- Build and maintain connectors, integrations, and data pipelines that connect our platform to external systems

- Have direct influence on technical direction; choose tools, set patterns, and establish conventions the team will build on for years. Collaborate daily with a small, high-caliber team of engineers and AI specialists

**What We’re Looking For**

- 3+ years of experience in software engineering (but a computer science degree is not necessarily required)

- A love of writing Python and TypeScript to a genuinely high standard–well-modeled, well-typed, and well-documented. Strong typing feels like a superpower, not a chore

- You light up when designing a clean database schema and take real pride in getting data models right

- You have good visual and interaction judgment, even if you're not a designer by title

- You've built libraries, SDKs, or internal tooling that made other developers' lives easier (and you’ve enjoyed it)

- You're at your best when you own a problem end to end–comfortable with ambiguity and energized by turning a vague problem into a well-scoped solution

- You're drawn to building foundational systems from scratch–greenfield work where your decisions compound over time excites you

Don't meet all of the above? We'd still love to hear from you. We're looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets. If your primary interest is building agentic systems, working with LLMs, or doing applied ML, check out our AI Engineering role–it might be a better fit.

**Learn More About Edra**

- Watch our Series A announcement video

- Read our blog post from our launch

- Learn more about what we're building

**A Few Details**

Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic.

Compensation Range: $180K - $250K

Software Engineer - Full Stack (New York)

**About Edra**

Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations.

We're a Series A startup, backed by Sequoia and other leading VC firms, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build.

**The Role**

We're looking for Backend Engineers who care deeply about the craft of building software: strong typing, thoughtful API design, robust data modeling, and systems that are a pleasure for other engineers to work with. You won't be building AI models, you'll be building everything around them: the platform, workflows, interfaces, integrations, and observability that make our AI useful in the real world. As an early engineer at Edra, you'll shape not just the product but the engineering culture, tooling choices, and technical foundations the company is built on.

We work deliberately and deeply. There's no separation between "building it" and "shipping it"--you'll go from whiteboard to production and own the outcome. We'd rather build something thoughtfully than ship something fragile, and we treat velocity and quality as complementary, not competing.

**What You'll Do**

- Design and build platform systems in Python (Fast API), from API contracts to database schema and infrastructure

- Build and maintain connectors, integrations, and data pipelines that connect our platform to external systems

- Build internal libraries, tooling, and interfaces that make the rest of the engineering team more productive

- Own your work fully: gather context, manage dependencies, and drive tasks to completion without a product manager handing you tickets

- Wear multiple hats across the stack–you might design a schema in the morning, build the API layer in the afternoon, and debug a deployment issue before end of day

- Participate in weekly product meetings, understand how customers and forward deployed engineers use what you build, and shape what gets built next

- Collaborate daily with a small, high-caliber team of engineers and AI specialists

- Have direct influence on technical direction: choose tools, set patterns, and establish conventions the team will build on for years

**What We’re Looking For**

- 3+ years of experience in software engineering (but a computer science degree is not necessarily required)

- A love of writing Python and/or TypeScript to a genuinely high standard–well-modeled, well-typed, and well-documented. Strong typing feels like a superpower, not a chore

- Experience building libraries, SDKs, or internal tooling that made other developers' lives easier (and you’ve enjoyed it)

- You light up when designing a clean database schema and take real pride in getting data models right

- You're at your best when you own a problem end to end — comfortable with ambiguity and energized by turning a vague problem into a well-scoped solution

- You're drawn to building foundational systems from scratch — greenfield work where your decisions compound over time excites you

Don't meet all of the above? We'd still love to hear from you. We're looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets. If your primary interest is building agentic systems, working with LLMs, or doing applied ML, check out our AI Engineering role–it might be a better fit.

**Learn More About Edra**

- Watch our Series A announcement video

- Read our blog post from our launch

- Learn more about what we're building

**A Few Details**

Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic.

Compensation Range: $180K - $250K

Software Engineer - Back End (New York)

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

Make it real.
www.capgemini.com

Industry: Services et conseil en informatique
Company Size: + de 10 000 employés

Capgemini

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

**Job Description**

As an AI Product Manager you will be responsible for defining the strategy roadmap and execution for our suite of Generative AI agentic solutions. Your mission is to reduce the risk and cost associated with managing largescale complex production environments. You will partner closely with engineering production support and application teams to translate complex operational challenges into a clear product vision and deliver innovative AI solutions that improve productivity reliability and safety. You will be the central hub for the product bringing consistent product management practices from discovery and planning to launch and iteration to successfully deliver business aligned outcomes

**Responsibilities:**

-  Define Product Vision and Strategy

Develop and champion the product vision strategy and roadmap for agentic AI systems

Define what success looks like by translating user pain points into clear product requirements user stories and objective functions linked to reliability risk reduction and cost savings

-  Lead the Product Lifecycle for LLMs

Guide the end to end product lifecycle from discovery to launch and iteration

Establish the business facing evaluation framework for foundational and opensource LLMs and prioritize the development of retrieval pipelines prompt synthesis and validation loops to meet user needs in production operations

-  Drive Integration and Ecosystem Strategy

Define and prioritize integrations with key runtime ecosystems including observability incident management and deployment systems

Articulate the value proposition for each integration to enable automated diagnostics runbook execution and intelligent post incident analysis - Champion the Voice of the Customer

Collaborate directly with production engineers and application teams through deep user research Translate their production challenges into a prioritized AI product roadmap and ensure the solutions delivered are auditable effective and solve real world problems

-  Own AI Safety Reliability and Governance

Establish and own the product framework for AI safety reliability and governance Work with engineering legal and compliance teams to define product policies deterministic fallbacks and rollback strategies ensuring all solutions adhere to the highest standards of safety and least privilege access

-  Manage Product Performance and Scale

Define and monitor product SLOs and key performance indicators KPIs for cost latency and user satisfaction Prioritize engineering efforts to optimize performance through techniques like prompt engineering caching and model routing to meet stringent business requirements

-  Oversee Data and Knowledge Strategy

Own the product strategy for the RAG pipeline Define the scope of required domain knowledge set product requirements for data quality and validation and establish feedback loops to maintain knowledge freshness and relevance

-  Drive Product Excellence and Raise the Bar

Lead product design reviews champion data driven experimentation and instill high quality product management practices

Mentor peers and stakeholders on AI product management evaluation methodologies and safe deployment patterns to foster a culture of innovation and excellence

The base compensation range for this role in the posted location is: 103,330 to 128,656

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

**Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. ** In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

- Life and disability insurance

- Employee assistance programs

- Other benefits as provided by local policy and eligibility

**Important Notice: ** Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

**Disclaimers**

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

AI Product Manager

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. We believe in the transformative power of equipping anyone to build the software applications they wish existed – regardless of their technical skill. 

That’s why more than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable for collaborative work management and citizen development to transform how work gets done.  The result?  Faster innovation, happier customers, enterprise governance, and a modern work experience for teams and departments. 

We’re hiring! Visit airtable.com/careers to learn more.

Industry: Software Development
Company Size: 501-1,000 employees

Airtable

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.

**The Opportunity**

Airtable lets teams build custom apps to run their operations without writing code. Hundreds of thousands of organizations use it to manage everything from product launches to customer pipelines to content calendars.

We're in the middle of a fundamental shift in how people build and interact with software. AI is changing what's possible: users can describe what they want in natural language and get working applications. They can create intelligent agents that take actions on their behalf. The floor for who can build powerful software is dropping fast.

We're hiring PMs to join the team building Airtable's AI-native future. Our current areas of focus include:

- AI-assisted app building: helping users go from intent to working application through natural language

- Intelligent agents: enabling users to create AI agents that take actions on their data, from enriching records to automating workflows

- Analysis & synthesis: making the data in Airtable accessible through natural language Q&A and insights

These areas are early, high-ownership, and central to Airtable's product strategy. You'll help define what AI-native software building looks like.

**What You'll Do**

- Own and ship AI features that help users more confidently and efficiently build and work with Airtable apps

- Drive product decisions on complex AI interaction problems like how users express intent, how we build trust in AI outputs, how we handle failure modes

- Partner with customers to identify repeatable use cases and workflows where AI delivers differentiated value

- Develop deep understanding of user needs through research, data analysis, and direct customer engagement

- Stay at the forefront of what's possible with AI and identify opportunities to apply advances in model capabilities to Airtable's product

- Develop and track metrics that measure the success and impact of AI capabilities

- Collaborate cross-functionally with engineering, design, and GTM teams to ship high-quality AI experiences

**Who You Are**

- 3-5 years of product management experience with a track record of shipping products users love

- Experience building AI/ML-powered features, or strong familiarity with LLM capabilities and constraints

- Strong product instincts: you can look at a flow and identify what's confusing, what's missing, what could be better

- Comfort with ambiguity: you can make progress on loosely-defined problems and have experience shaping zero to one features

- Technical fluency: you can have productive conversations with engineers about architecture tradeoffs

- User empathy: you understand how non-technical users think and can translate complex capabilities into intuitive experiences

- Strong analytical skills with demonstrated ability to make data-informed decisions quickly with imperfect information

- Excellent communication skills, with the ability to articulate a product vision and direction to both technical and non-technical audiences

Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant**.**

VEVRAA-Federal Contractor

If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.

Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience.

Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable.

For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is:

$170,000 - $221,500 USD

Please see our Privacy Notice for details regarding Airtable’s collection and use of personal data relating to the application and recruitment process by clicking here.

For applicants that live in or have a link to Australia, please see this Privacy Collection Statement for details regarding Airtable's collection and use of personal data relating to the application and recruitment process.

🔒 **Stay Safe from Job Scams**

All official Airtable communication will come from an **@airtable.com ** email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@airtable.com. Learn more about avoiding job scams here.

Product Manager, AI

MicroAI, a global AI solution development and enablement company, is focused on deploying solutions for Industrial and network infrastructure monitoring. MicroAI develops and deploys purpose-built, edge-based, AI and GenAI Agents that run in local environments and that process machine and network data to produce quantifiable insights that improve the performance of machines, networks, and processes. The MicroAI AI Agents learn by dynamic observation of the performance of industrial and network assets. That learning is then converted into GenAI-enabled predictive insights that autonomously improve performance, health, security, reliability, sustainability, and overall operating costs.

Visit us at www.micro.ai

Industry: Software Development
Company Size: 51-200 employees

MicroAI

**Project Location(s): ** Irving, Texas (onsite)

**Reports to: ** Director of Technology

**About The Company**

Micro.ai is a rapidly growing technology firm based in Irving, TX—delivering advanced SaaS platform solutions powered by Artificial Intelligence and Machine Learning. We serve global clients across Telecom, Manufacturing, Agriculture, Transportation, Utilities, Energy, and Financial Services—transforming connected machines and enterprise operations through intelligent automation.

Our culture fuels collaboration, creativity, continuous learning, and an intrapreneurial mindset. Here, your work directly impacts our growth and your career trajectory.

**About The Role**

We are seeking an experienced AI Technical Product Manager to be part of team working on the strategy, development, and delivery of AI-driven products and platforms. This role bridges the gap between business needs and technical execution ensuring that our AI solutions deliver measurable value, scalability, and innovation across industries such as automation, IoT, and digital transformation.

**Responsibilities**

- Drive AI Product Strategy: Define and execute the product vision and roadmap for AI and ML-based offerings, aligning with company goals and customer requirements.

- Technical Partnership: Work closely with data scientists, ML engineers, and software developers to translate business problems into technical requirements and ensure successful model deployment, monitoring, and iteration.

- Model Integration & Optimization: Oversee how AI models integrate with existing systems and ensure performance optimization and reliability in production.

- Market & Technology Research: Analyze trends in artificial intelligence, generative AI, and automation to assess competitive positioning and identify opportunities for differentiation.

- Cross-Functional Collaboration: Partner with design, engineering, and operations teams to define requirements, manage trade-offs, and deliver impactful AI-driven features on schedule.

- Performance & ROI Analysis: Develop business cases for AI initiatives, including cost-benefit and ROI analysis; track performance metrics such as model accuracy, latency, and adoption rates.

- Scalability & Ecosystem Planning: Define product architecture and support models to ensure scalability across enterprise and OEM environments, including data pipelines and cloud/edge infrastructure.

- Customer Engagement: Gather technical feedback from clients and internal stakeholders to refine product capabilities and improve model interpretability, usability, and trust.

- Compliance & Ethics: Ensure all AI products meet governance, privacy, and responsible AI standards, collaborating with compliance and security teams as needed.

**Qualifications**

- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related technical field;

- 2-5+ years of experience in AI, ML, data-driven product development, or technical product management.

**Required Skills**

- Strong understanding of machine learning workflows, including data pipelines, model training/deployment, and MLOps.

- Proven ability to manage the end-to-end product lifecycle — from concept to launch — in a technical environment.

- Excellent communication skills, with the ability to explain technical concepts to non-technical audiences.

- Strategic thinker with strong analytical and problem-solving abilities.

**Preferred Skills**

- Experience with AI-driven products, automation systems, or analytics preferred.

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Founded in 2001, Envision Pharma Group is a leading global technology-enabled strategic solutions partner for the life sciences industry, working with over 200 pharma and biotech companies, including 20 of the top 20 pharmaceutical companies. 

We have earned the reputation of a best-in-class partner for medical affairs teams, with expertise in leading medical strategy, medical communications, publication planning & delivery, patient engagement, and more. 

And through our comprehensive suite of services and industry-leading technology solutions - including Two Labs, Okra.ai, Riparian, and 90TEN - we support clients across the product life cycle. Clients come to us for expertise in artificial intelligence and natural language processing, commercialization and integrated strategic consulting, evidence-based scientific communications and engagement, HEOR/market access and data analytics, medical capabilities, and omnichannel solutions. Our purpose-built software, scientific solutions, and behavior change expertise make us a unique partner to the pharmaceutical industry.

Industry: Pharmaceutical Manufacturing
Company Size: 1,001-5,000 employees

Envision Pharma Group

**Shape the next generation of AI and machine learning products transforming the life sciences industry. **

Work shouldn't just be something we do; it should have a purpose. At Envision, we believe in creating life-changing outcomes through the work we do with our clients, giving back to our communities, while creating a company culture where our people thrive. We believe success starts with a workplace where everyone feels valued, supported, and empowered to grow.

Being part of a collaborative team means there's no limit to what you can achieve. With us, you can be a part of a growing company you want to work for.

**Our Vision: ** To unleash the power of combined intelligence to accelerate patient access to life-changing treatments.

**Our Mission: **Delivering smarter and faster solutions to create, communicate, and commercialize value for our clients.

**Our Values: **Excellence, People, Growth

**The opportunity **

At Riparian, we are transforming the Life Science industry through next generation enterprise software powered by data, analytics, and intelligent automation. We are seeking a Product Manager for Artificial Intelligence / Machine Learning who can provide clear direction and vision for AI/ML driven capabilities, translate business and client needs into scalable intelligent solutions, and work closely with engineering, data science, and client teams to deliver measurable value.

This role requires a strong balance of product thinking, technical fluency in AI/ML concepts, and the ability to communicate effectively with both technical and non technical stakeholders.

**How will you make an impact at Envision Pharma Group? **

Role responsibilities

- Drive product planning and implementation for AI/ML enabled features and platforms

- Define and document product requirements for AI/ML use cases and ensure they are successfully implemented and validated

- Analyze client and business needs to identify opportunities where AI/ML can improve efficiency, accuracy, or user experience

- Partner with data science and engineering teams to shape models, workflows, and system integrations

- Help clients understand and adopt AI/ML powered functionality, identifying opportunities for continuous improvement

- Evaluate competitor and market offerings in AI/ML, identifying opportunities for differentiation and innovation

- Provide requirements for features to be developed

- Prioritize AI/ML initiatives, enhancements, and technical debt as part of release planning

- Collaborate closely with engineering and data science teams on solution design and feasibility

- Coordinate with QA and data teams on testing, validation, and monitoring of AI/ML models and outputs

- Develop and maintain a product roadmap for AI/ML capabilities aligned with business goals

- Interact with clients, users, and internal stakeholders to gather feedback and measure value realization

**Do you have what we are looking for? **

Skills & expertise

- 3 years of experience in product management, data products, or intelligent software solutions

- Experience working with Artificial Intelligence, Machine Learning, or advanced analytics concepts (e.g., predictive models, automation, or decision support systems)

- Experience delivering modern software products in Agile or iterative development environments

- Experience with product design and user experience (UX)

- Ability to write clear and comprehensive product requirements, user stories, and use cases for technical audiences

- Experience collaborating with engineering, data science, and QA teams

- Familiarity with product and project management tools such as JIRA

~~The provided salary range reflects the potential base salary for this role in the United States, considering factors such as your professional and academic experience, training, and role responsibilities. In addition to a competitive base salary, we offer an attractive total compensation benefits package designed to reward and support our people. ~~

**#TogetherWeDiscover **

Do you have the experience we are looking for? If so, explore your place at Envision today!

Product Manager, AI/ML

At Edrix, HigherEd, we are passionately dedicated to developing essential skills in modern professionals. We provide advanced digital learning experiences across a variety of programs in Management, Technology, Leadership, and Marketing. Partnering with leading universities and institutes, we've meticulously designed interactive and result-oriented courses to help you upskill and accelerate your career.

Our workplace fosters an environment where individuals can freely pursue their ambitions while contributing to our shared mission of delivering an unparalleled Live Project Based e-learning experience.

Industry: Education Administration Programs
Company Size: 51-200 employees

Edrix

Partner with engineering and AI/ML teams to integrate third-party (e.g., OpenAI) and internal capabilities

Experience leading cross-cutting programs or technology deployments, focusing on emerging technologies and creating new processes for rapid scale-up

Experience deploying software products (applications, services, etc.) or consumer hardware products

Experience in Design Thinking and customer-first product design processes

Lead the product design, business requirements, and definition of PG&E's AI Center of Excellence initiatives

Engage with project execution stakeholders for execution and program management

Manage the project timeline, budget, and advocate for and adjust resourcing when necessary

Identify and prioritize use cases and required capabilities for PG&E AI initiatives

Curate training datasets and tagging structures to fine-tune model performance and ensure desired outputs.

Monitor output metrics such as asset acceptance rate, generation cost, and asset velocity to optimize tool performance.

**Expected Skillset **

10+ years of product management experience with at least 3+ years working in AI/ML, creative tech, or content automation.

Demonstrated experience with generative AI platforms (e.g., OpenAI, Stability, Adobe Firefly) and image-related prompt engineering.

Strong understanding of model training pipelines, tagging systems, and metadata management.

Comfortable leading hands-on delivery in a fast-moving, ambiguous space with high visibility.

Excellent stakeholder management and storytelling skills — you know how to align creatives, engineers, and executives alike.

- A plus if they have experience in the utility sector or with Foundry.

Powering the future with the Earth’s hidden heat.

Geothermal is carbon-free, always-on power but most of the world’s geothermal resources remain undiscovered and undeveloped.

Zanskar is changing that. We take a AI and data-driven, scalable approach to geothermal discovery and development combining modern geoscience and advanced field methods to identify and tap into overlooked or underutilized geothermal resources.

By making geothermal faster and more predictable to develop, we’re unlocking its potential to deliver gigawatts of clean, firm energy and to become a cornerstone of our future energy system.

Industry: Renewable Energy Power Generation
Company Size: 51-200 employees

Zanskar

Role Overview

Title: Senior Machine Learning Scientist (Surrogate modeling & decision science in the earth sciences)

Hours: Full-Time, Salaried

Location: Salt Lake City, UT, Hybrid (3 days in office, 2 days can be remote)

Benefits Eligible: Yes

Manager: Head of Reservoir R&D

Why we exist

Geothermal energy is the most abundant renewable energy source in the world. There is 2,300 times more energy in geothermal heat in the ground than in oil, gas, coal, and methane combined. However, historically it’s been hard to find and expensive to develop. At Zanskar, we’re building technology to find and develop new geothermal resources in order to make geothermal a cheap and vital contributor to a carbon-free electrical grid.

To do that, we combine deep subsurface expertise with advanced AI technologies—including modern machine learning, scalable scientific computing, and uncertainty-aware modeling—to dramatically improve geothermal discovery and development outcomes. We build systems that can learn from sparse and noisy data, emulate expensive physics simulations, and help teams make faster, higher-confidence decisions about where to drill and how to develop fields.

Who you are

You will help build the modeling and decision-making core of Zanskar’s geothermal exploration software. This role blends scientific machine learning (surrogate modeling) with sequential decision-making under uncertainty. A successful candidate will:

Explore: you’re open-minded about methods and will prototype, benchmark, and iterate across approaches.

Reproduce & adapt: you can implement ideas from papers and new frameworks quickly, then harden the best ones into reliable workflows.

Decision-minded: you care about end-to-end outcomes (value, risk, time-to-decision), not just model accuracy.

Uncertainty-first: you build models that are accurate, well-calibrated, and dependable under distribution shift and sparse data regimes.

Collaborative: you work well with domain experts and can translate between geology/engineering intuition and ML systems.

What you’ll do

Build fast, reliable models that emulate or augment computationally expensive physics-based simulations (e.g., reservoir, wellbore, and coupled multi-physics workflows).

Evaluate and compare multiple modeling approaches (physics-informed, operator learning, transformers, diffusion models, etc.), establishing strong baselines and selecting methods based on evidence.

Build multi-step decision systems for exploration and appraisal: POMDP-style planning and belief-space decision making to recommend exploration steps.

Translate scientific and engineering questions into well-defined learning and decision problems: inputs/outputs, constraints, boundary/initial conditions, reward/cost structure, and success metrics (e.g., expected NPV, probability of success, downside risk).

Prototype, benchmark, and iterate across approaches (POMDP solvers, RL methods, VOI-style baselines, MPC-style replanning), then harden the best ones into reliable workflows and APIs.

Collaborate deeply with geoscientists, reservoir engineers, and software engineers to integrate these models and policies into production software.

What we’re looking for

3+ years of applied ML experience, ideally in scientific ML, decision-making under uncertainty, surrogate modeling, robotics/control, or related engineering/science domains.

Expertise in python and modern ML tooling (PyTorch preferred).

Track record of taking models from prototype → rigorous evaluation → adoption by technical stakeholders.

Strong fundamentals in probability/statistics and comfort with messy, real-world scientific datasets.

Experience building or using surrogate models for expensive simulators (PDE-driven systems, multi-physics, or similar).

Relevant technical strengths

Surrogate modeling.

Sequential decision-making under uncertainty and reinforcement learning.

Software engineering: Git, code review, reproducibility, CI basics, Docker/container workflows.

Experience with diffusion models.

Exposure to subsurface modeling domains: geothermal, oil & gas, CCS, hydrogeology, geoscience, or related.

Familiarity with cloud infrastructure and data systems (SQL, object storage, orchestration).

Location and Benefits

This position is based out of our headquarters in **Salt Lake City, Utah **, and is **hybrid **.

Benefits include:

Paid holidays

15 days PTO + PTO accrual increase based on tenure

Medical, dental and vision coverage

401k

Stock options

Growth opportunities at a company with a direct impact in displacing carbon emissions

Equal Opportunity Employer

Zanskar is an equal-opportunity employer and complies with all applicable federal, state, and local fair employment practice laws.

Senior Machine Learning Scientist

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