Group Product Manager - AI Infrastructure

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/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

About the Role: We are seeking an experienced Group Product Manager (GPM) to lead our product management team in building the next generation of AI infrastructure services. This role will oversee a portfolio of products that power large-scale AI workloads—including GPU clusters, cloud computing environments, and advanced storage and networking solutions. The GPM will set product vision and strategy, manage and mentor a team of Product Managers, and work cross-functionally to deliver best-in-class infrastructure products that meet the demanding needs of AI researchers, developers, and enterprises. What You’ll Do

• Lead, mentor, and develop a high-performing team of Product Managers (ranging from PM to Principal PM).
• Define and own the long-term product vision and strategy for Lambda’s AI infrastructure offerings—including compute, storage, and networking.
• Oversee a portfolio of infrastructure products, including GPU clusters, high-performance storage, orchestration systems, and more.
• Ensure cross-product cohesion to deliver a seamless and integrated cloud experience.
• Collaborate with engineering, operations, and GTM teams to deliver performant, cost-effective, and scalable solutions.
• Engage deeply with AI-first customers to translate real-world workload needs (training, fine-tuning, inference) into clear product specifications.
• Track and anticipate industry trends in cloud infrastructure, AI workload optimization, and distributed systems.
• Drive product excellence and ensure success metrics (e.g., adoption, utilization, customer satisfaction) are met or exceeded.

You

• Have 10+ years of product management experience, with at least 3+ years managing PMs.
• Bring deep expertise in AI infrastructure, cloud computing, or high-performance computing (HPC).
• Understand GPUs, distributed systems, and cloud platforms at a technical level.
• Possess strong leadership skills and a track record of building and scaling PM teams.
• Can craft and communicate product strategy across a portfolio and balance near-term wins with long-term bets.
• Thrive in cross-functional environments and excel at stakeholder alignment and communication.

Nice to Have

• Experience with AI/ML workloads such as model training, inference, and fine-tuning.
• Familiarity with hyperscaler or specialized AI cloud environments.
• Advanced technical degree (e.g., Computer Science) and/or MBA.

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. Apply tot his job Apply To this Job