DigitalOcean
The Principal Product Manager for Inference Engine will define and own the product strategy for DigitalOcean’s inference business, shaping GPU strategy, pricing, and roadmap for serving developers and AI-native companies. This role involves balancing developer experience with infrastructure economics while driving customer-backed product decisions and establishing key business metrics. The position requires deep product judgment in infrastructure or AI, strong analytical rigor, and the ability to partner with engineering and executive teams.
Headquarters
Broomfield, Colorado, United States
Company Size
1001-5000 employees
Founded
2012
DigitalOcean is an AI-native cloud platform offering a fully integrated stack spanning GPU infrastructure, inference engine, managed agents, and core cloud services such as Droplets, managed Kubernetes, managed databases, and storage. The platform is purpose-built for running AI products in production, supporting use cases from serverless and dedicated inference to large-scale agentic workloads, with over 70 open and frontier models available on a single endpoint. DigitalOcean owns its own silicon and data center infrastructure across 20 global locations, delivering predictable economics and developer-friendly tooling for startups, SMBs, and AI-focused teams.
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Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for DigitalOcean.
57% above the average for this role
5 days ago