Staff Product Manager, Compute Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the vision, strategy, and roadmap for the App Platform, Serverless Functions, and DOCR.

• Identify and prioritize features that are user-friendly and efficient to operate.

• Manage platform economics, which includes workload mapping, cost to serve, utilization, density, and improvements in bin-packing.

• Monitor trends in processors, virtualization, microVMs, and container runtimes, translating them into strategic platform decisions.

• Outline the complete developer journey from source repository or container image to deployed, autoscaled, and observable applications or functions.

• Conduct discovery sessions with developers, startups, and SMB platform teams.

• Evaluate support and community feedback, converting it into jobs-to-be-done, user stories, and acceptance criteria.

• Oversee the packaging and pricing of platform services.

• Collaborate with engineering on trade-offs involving control-plane and data-plane architecture.

• Drive outcomes related to performance, reliability, and efficiency through service level objectives (SLOs) and cost targets.

• Keep an eye on the competitive landscape for managed compute and PaaS offerings.

• Lead product launches in partnership with product marketing, documentation, sales, and support teams.

• Manage post-GA metrics including adoption, activation, retention, and margin.

• Report directly to the Director of Product while collaborating with engineering, infrastructure, finance, and go-to-market (GTM) teams.

⛳️ Requirements

• 8+ years of experience in product management.

• Proven success in defining and launching managed cloud compute, PaaS, serverless, or container products.

• Strong understanding of PaaS, serverless, and container registry models.

• Familiarity with buildpack-based deployments, function runtimes and triggers, concurrency and cold start trade-offs, as well as OCI image build, storage, and distribution.

• Knowledge of CPU architectures such as Intel, AMD, and ARM, along with their price/performance characteristics.

• Understanding of virtualization, microVMs, container runtimes, and isolation techniques.

• Knowledge of cost drivers related to compute, memory, storage, and networking.

• Ability to create cost-to-serve models for multi-tenant services and translate them into pricing and utilization targets.

• Proficient in specifying simple APIs, CLIs, and console workflows.

• Data-driven approach to decision-making using metrics like utilization, margin, and product dashboards.

• Exceptional communication skills and cross-functional leadership capabilities.

• Preferred: hands-on experience with Kubernetes.

• Preferred: experience on an IaaS or compute team.

• Preferred: familiarity with platforms like Heroku, Render, Fly.io, Cloud Run, Lambda, Fargate, ECR/GCR/ACR, or similar.

• Preferred: knowledge of datacenter fundamentals.

• Preferred: previous experience as an early or lead PM in a new geography for a product area.

• Preferred: understanding of DigitalOcean's existing product suite.

🏝️ Benefits

• Reimbursement for relevant conferences, training, and education, in accordance with company policy.

• Flexible time off.

• Opportunities for local team meetups.

• Support for mental health and well-being.

• Equity compensation, which may include a new hire equity grant.

• Employee Stock Purchase Program available in participating countries.

• Eligibility for an annual bonus plan for non-sales roles.

• Remote work options.