In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn’t changed. Today, we’re on a mission to be the world’s top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we’ve got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.

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.

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).

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.