Lead, AI Inference & GPU Strategy

DigitalOcean

Seattle (WA)

Hybrid

USD 218,400 - 273,000

Full time

14 days+

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Job summary

DigitalOcean is seeking a Senior Product Manager to own the GPU strategy for AI inference, aligning product and infrastructure to optimize GPU capacity, pricing, and deployment. You will partner with engineering to shape the roadmap for caching, autoscaling, batching, and latency, while balancing developer needs with cost and performance.

You will collaborate with AI-native startups, mid-market, and strategic accounts to translate customer needs into scalable product initiatives and optimized

Qualifications

  • Experience building infrastructure or AI platforms for developers and enterprises.
  • Strong understanding of GPU economics, capacity planning and cost-to-serve.
  • Familiarity with modern AI workloads including LLM inference and model serving.

Responsibilities

  • Own the GPU strategy and pricing across serverless and dedicated inference offerings.
  • Define the product roadmap with engineering for prompt caching, autoscaling, batching, latency, and observability.
  • Balance developer experience with infrastructure economics and cost-to-serve.
  • Create pricing models and packaging for serverless, dedicated, and enterprise inference.
  • Drive customer-informed product decisions with AI-native startups and strategic accounts.
  • Collaborate with engineering and infra teams on GPU fleet planning and capacity allocation.
  • Establish operating metrics: GPU utilization, latency, revenue per GPU hour, margin.

Skills

GPU economics
LLM inference
Product strategy
Executive communication
Analytical rigor
Ownership mindset
Customer obsession
Infrastructure experience
Cross-functional collaboration

Job description

DigitalOcean is seeking a Senior Product Manager to own the GPU strategy for AI inference, aligning product and infrastructure to optimize GPU capacity, pricing, and deployment. You will partner with engineering to shape the roadmap for caching, autoscaling, batching, and latency, while balancing developer needs with cost and performance.

You will collaborate with AI-native startups, mid-market, and strategic accounts to translate customer needs into scalable product initiatives and optimized

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