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

Savvy Admin PROD

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

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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 Scientist - LLMs [32826]

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

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.

AI Product Manager

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