Staff Product Manager, Compute Platform

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

📋 Description

• Lead the vision, strategy, and roadmap for the App Platform, Serverless Functions, and DOCR.

• Manage platform economics, focusing on workload placement, cost of service, utilization, density, and bin-packing enhancements.

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

• Define the comprehensive developer journey from source repository or container image to deployed, autoscaled, observable applications or functions.

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

• Transform customer and community feedback into jobs-to-be-done, user stories, and acceptance criteria.

• Oversee packaging and pricing strategies for platform services.

• Collaborate with engineering on tradeoffs between control-plane and data-plane architecture.

• Propel performance, reliability, and efficiency outcomes by utilizing SLOs and cost targets.

• Analyze the competitive landscape for managed compute and PaaS offerings.

• Spearhead launches in coordination with product marketing, documentation, sales, and support teams.

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

• Report directly to the Director of Product and work closely with engineering, infrastructure, finance, and go-to-market teams.

⛳️ Requirements

• Over 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 tradeoffs, as well as OCI image build, storage, and distribution.

• Knowledge of CPU architectures, including Intel, AMD, and ARM, as well as virtualization and microVMs, container runtimes and isolation, density, latency, and cost.

• Proficiency in cost and capacity management, including compute, memory, storage, and network cost drivers.

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

• Capability to specify simple APIs, CLIs, and console workflows.

• Data-driven approach to decision-making with the ability to analyze utilization, margin, and product dashboards.

• Exceptional communication skills and cross-functional leadership abilities.

• Preferred: hands-on experience with Kubernetes.

• Preferred: background in IaaS or compute teams.

• Preferred: experience with platforms such as 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 for a product area in a new market.

• Preferred: familiarity with DigitalOcean's product range.

🏝️ Benefits

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

• Flexible time off policy.

• Opportunities for local team meetups.

• Support for mental health and well-being.

• Eligible employees may receive equity compensation, including a potential new hire equity grant.

• Opportunity to participate in the Employee Stock Purchase Program in eligible countries.

• Annual bonus program available for non-sales roles, subject to plan terms and local eligibility.