Staff Product Manager, Compute — AI Cloud (Hybrid, Tue WFH)

Frontdoor Defense

Northern (KY)

Hybrid

USD 291,000 - 430,000

Full time

3 days ago
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Job summary

Lambda is seeking a Staff Product Manager for Compute to define and launch features balancing performance, capacity, and cost across GPU and CPU offerings. You will own compute products, shape pricing, and collaborate with storage, networking, and orchestration teams to deliver a unified product.

The role requires 7+ years of PM experience on a compute platform at a hyperscaler or comparable cloud provider, with a track record shipping compute primitives at scale.

Qualifications

  • 7+ years of product management experience on a compute platform at a hyperscaler, neocloud, or comparable cloud provider.
  • Shipped compute primitives at scale that customers use (e.g., instance types, capacity products, provisioning interfaces).
  • Understand GPU/CPU infrastructure well enough to discuss launch paths and placement with engineers.

Responsibilities

  • Find the Real Problem: engage with customers and support to identify blockers.
  • Decide What Matters: prioritize work and communicate scope clearly.
  • Write the Definition: produce requirements, user stories, and acceptance criteria.
  • Price and Package It: define pricing, packaging, and commitments across GPU generations.
  • Deliver With Engineering: collaborate with compute and control plane teams to build and align.
  • Land the Launch: set launch criteria, ensure docs/pricing/sales/support are ready.
  • Measure and Iterate: define success metrics and validate adoption and utilization.
  • Make the Call Stick: document decisions and stand by them.
  • Work as a Group: partner with other product managers across related teams.

Skills

Compute platform
Product management
Cross-functional collaboration
Pricing & packaging
Data-driven decision making

Job description

Lambda is seeking a Staff Product Manager for Compute to define and launch features balancing performance, capacity, and cost across GPU and CPU offerings. You will own compute products, shape pricing, and collaborate with storage, networking, and orchestration teams to deliver a unified product.

The role requires 7+ years of PM experience on a compute platform at a hyperscaler or comparable cloud provider, with a track record shipping compute primitives at scale.

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