Principal Product Manager - Compute Platform

Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.

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

About the role

As Principal Product Manager, you'll own the strategy, roadmap, and execution of the Compute Platform layer of Lambda’s public cloud. Your job is to build the most performant, reliable, and affordable infrastructure for AI workloads. Your focus will be at the service layer that provides VMs, high-performance clusters, software-defined networking, and object/block/file storage.

Responsibilities:

• Own the Compute Platform strategy, roadmap.
• Own revenue growth, profitability, adoption, and customer satisfaction.
• Drive execution of your strategy across engineering, support, sale, marketing, and leadership.
• Ensure we’re ahead of the curve on emerging trends, research, competition, and tools.
• Identify and secure partnerships with AI platforms that can integrate their applications directly with our infrastructure.

Your technical qualification:

• You have 10+ years of PM experience and 5+ years focused on HPC-oriented public cloud services.
• You have expert-level knowledge of public cloud infrastructure, including compute, networking, storage, performance optimization, and reliability.
• You have personally led a new product, from initial conception through commercial success..
• You’re already ahead of the curve in AI – keeping up with emerging trends, techniques, tools, and research.
• You have a strong technical foundation – CS, Engineering, Math degree (or equivalent experience).

You'll thrive if:

• You ship the right thing fast and own outcomes.
• You do whatever it takes to get the job done.
• You find crisp paths forward through uncertainty, ambiguity, constraints, and obstacles.
• You quickly identify what truly matters and make hard trade-offs without hesitation.
• Teams leave meetings with you energized, aligned, and fully clear on next steps.
• You thrive in high-stakes, fast-moving environments.
• You can mobilize teams from standstill to full-speed execution.

Salary range information

The annual salary range for this role is $300,000 - $385,000, based on market data and experience. A higher or lower salary may be offered depending on qualifications.

About Lambda

• Founded in 2012, ~400 employees (2025) and growing fast
• We offer generous cash & equity compensation
• Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
• We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
• Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
• 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.