Senior Director, Product Management - Foundations
Lambda· Data Center Business
Hybrid (Bellevue Office), Hybrid (San Francisco Office (Fremont St))$365k - $486kFull-timePosted 1mo ago
About the role
Senior leader responsible for product management of compute, storage, and networking at Lambda, driving product definition, pricing, packaging, and cross-domain customer experience. Leads a team of product managers, drives hardware-enabled productization with GPU platforms, and partners with NVIDIA to integrate technologies.
Responsibilities
- Own the Product Definition: Define compute, storage, and networking products for Lambda, including the customer promise, product boundaries, launch criteria, pricing, and packaging.
- Set the Roadmap: Build and maintain the roadmap for the products that sit underneath On-Demand GPU Instances and 1-Click Clusters, and make the tradeoffs clear enough that engineering, sales, finance, and support can plan against them.
- Connect the Domains: Hold compute, storage, and networking together as one customer experience, so product decisions reflect how distributed training and inference workloads actually run.
- Lead Pricing and Packaging: Determine pricing and packaging decisions for compute, storage, and networking, including how customers buy capacity, compare options, and make multi-year commitments.
- Drive Hardware Productization: Turn new GPU platform generations into products Lambda can sell and support, including capacity definition, customer requirements, launch sequencing, and adoption plans.
- Partner with NVIDIA: Lead product integration with NVIDIA or assign clear ownership on your team, partnering with their development efforts and testing and adopting new technologies in the right Lambda products.
- Build Operating Mechanisms: Create the planning, review, launch, and feedback mechanisms that let Lambda make product decisions across engineering, sales, finance, support, and operations.
- Develop Product Leaders: Hire, coach, and manage product managers who can work through ambiguous technical and commercial problems, write clear product definition, and move the company toward a shared outcome.
Qualifications
- Have 10+ years of product management experience, including managing product managers.
- Have built your career in cloud computing, and have worked directly on at least two of compute, networking, and storage, ideally all three, with enough knowledge of the third to make decisions in it.
- Can reason about performance, durability, cost, and customer impact with engineering leaders across all three domains.
- Have owned product strategy, roadmap, pricing, and packaging for infrastructure products, at a scope where your decisions set company direction.
- Have worked on products where hardware constraints, supply timing, or platform transitions shaped the roadmap.
- Have managed senior product managers and raised the quality of their written product definition, judgment, and execution.
- Able to define iterative plans that move an organization from the current state towards the desired outcome.
- Can translate ambiguous customer, technical, and commercial inputs into product definition that multiple teams can execute.
- Are comfortable making tradeoffs across engineering complexity, customer commitments, margin, and delivery timing.
- Communicate plainly, write well, and make decisions easier for people who do not all share the same context.
Skills
Required:Product management leadershipCloud computing (compute, networking, storage)
Benefits
- 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
Last updated Oct 15, 2026. Interested? Apply on the company site.
About Lambda
The Superintelligence Cloud
The gigawatt-scale AI GPU Cloud built for superintelligence. Featuring on-demand & reserved cloud NVIDIA HGX B200, B300, GB200, GB300 and H200 GPUs for AI training & inference.
AI trainingDeep learningGPU CloudInferenceNVIDIA GPUsliquid-ai-recruiting-targetsetter-30setter-30-2026-q1
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