Staff Product Manager – Product Operations

Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda's mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU.

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

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

Role Summary

We are seeking a Staff Product Manager, Product Operations (ProdOps) to elevate how our product organization plans, delivers, and scales. This role is both strategic and hands-on — you'll design and own the operational backbone of the product org, while also managing internal tools and systems that empower Product management to move faster and smarter.

As a Staff PM in ProdOps, you will operate as a force multiplier for the product organization. You'll define processes, manage internal product tooling, lead capacity and resource planning, and ensure cross-functional alignment at scale. You'll collaborate closely with senior product leaders, engineering operations, and company leadership to drive efficiency, predictability, and transparency across the product lifecycle.

What You'll Do

Product Operations Strategy & Execution

• Lead the definition and continuous improvement of product operating rhythms — roadmap planning, goal setting, prioritization, and execution frameworks.

• Establish and refine processes that increase the velocity, quality, and alignment of product delivery.

• Partner with product and engineering leadership to ensure the right balance between strategic initiatives, technical investment, and innovation.

Internal Tooling Product Management

• Act as the product manager for internal product operations tools and systems, including roadmap management platforms, capacity planning models, OKR systems, and collaboration tools.

• Define requirements, manage vendor integrations, and build automation to reduce manual effort and improve transparency.

• Partner with data and engineering teams to develop internal dashboards and analytics capabilities that surface insights on delivery, utilization, and team health.

Cross-functional Alignment & Communication

• Be the connective tissue between Product Management and multiple cross-functional teams, including but not limited to Engineering, Marketing, Sales, Program Management, Operations, and Finance through structured operational cadences and effective communication channels.

• Lead product team business reviews, planning sessions, and retrospectives.

• Create clarity by ensuring decision-making, status, and outcomes are documented and visible across teams.

Measurement, Insights & Continuous Improvement

• Define and operationalize key metrics for product execution health — velocity, delivery predictability, roadmap balance, and team capacity.

• Translate data and qualitative feedback into actionable insights that inform strategy and operations improvements.

• Champion a culture of accountability and learning through process retrospectives and experimentation.
  

You:

• 8+ years of experience in product management, product operations, or program management, with at least 3+ years in a senior or staff-level role.

• Deep understanding of product development lifecycles, agile practices, and portfolio management.

• Experience in AI infrastructure or AI platforms is ideal.

• Demonstrated success managing internal tools, workflows, or operational platforms as a product owner.

• Proven ability to drive alignment and execution across complex, matrixed organizations.

• Strong analytical skills — able to build models, interpret data, and translate insights into scalable frameworks.

• Excellent written and verbal communication skills; adept at synthesizing complex information for executive audiences.

• Experience with modern product and operations toolchains (e.g., Jira, Productboard, Airtable, Notion, Looker, Workday, or custom dashboards).

Nice to Have

• Experience in a high-growth tech or SaaS environment with distributed teams.

• Background in engineering operations, business operations, or technical program management.

• Familiarity with OKR frameworks and organizational planning cycles.

• Ability to influence and lead without direct authority across multiple functions.
  

Salary Range

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, ~400 employees 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.

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