Senior Technical Product Manager - Product Engineering
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 office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
Lead and manage large-scale, complex software development programs from initiation through delivery, ensuring timely, high-quality execution of roadmap commitments for the Lambda AI Cloud compute platform.
Define program scope, objectives, success criteria, and governance, translating product requirements and technical strategy into actionable work plans and milestones.
Possess a strong technical background to effectively engage with engineers on technical design decisions, architecture reviews, and sizing of deliverables for AI cloud services.
Proactively identify, assess, and manage risks, dependencies, and trade-offs, developing mitigation strategies and communicating impact clearly to leadership.
Serve as the primary interface for program communication, ensuring clear, consistent, and concise information flow between technical teams and executive stakeholders.
Serve as the primary interface for program communication, ensuring clear, consistent, and concise information flow between technical teams and executive stakeholders.
You
8+ years of experience in a technical program management and/or technical management role
Possess a deep understanding of software development life cycles, cloud infrastructure, and the unique challenges associated with delivering high-performance AI compute solutions.
Prior experience working on AI/ML infrastructure, GPU/accelerator platforms, or container orchestration technologies (e.g., Kubernetes).
Proven experience delivering large-scale cloud-based products or services, with a strong preference for experience in infrastructure, distributed systems, or high-performance computing (HPC)/AI/ML platforms.
Expert-level knowledge of software development life cycle (SDLC) methodologies and project management tools.
Nice to Have
Demonstrated ability to drive strategic decision-making in ambiguous technical domains.
Excellent analytical, problem-solving, and organizational skills, with the ability to manage multiple programs concurrently.
Experience operating in a rapidly scaling environment.
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.