Staff Product Manager, Compute Platform

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

📋 Description

• Lead the vision, strategy, and roadmap for App Platform, Serverless Functions, and DigitalOcean Container Registry.

• Manage platform economics, encompassing workload placement, cost to serve, utilization, density, bin-packing, and margin.

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

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

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

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

• Oversee packaging and pricing strategies, including metering for compute, egress, build minutes, storage, invocations, and image pulls.

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

• Drive performance, reliability, efficiency, Service Level Objectives (SLO), and cost-target outcomes.

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

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

• Manage post-launch metrics including adoption, activation, retention, expansion, and margin results.

• Report directly to the Director of Product and work alongside 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 trade-offs, as well as OCI image build, storage, and distribution.

• Knowledge of CPU architectures including Intel, AMD, and ARM.

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

• Insight into compute, memory, storage, and network cost drivers.

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

• Proficiency in defining simple APIs, CLIs, and console flows.

• Data-driven decision-making skills with the ability to define and interpret product, utilization, and margin metrics.

• Excellent communication skills and cross-functional leadership abilities.

• Preferred: hands-on experience with Kubernetes.

• Preferred: previous experience in an IaaS or compute team.

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

• Preferred: understanding of datacenter fundamentals.

• Preferred: early or lead PM experience in a new geographical area.

• Preferred: familiarity with DigitalOcean’s product offerings.

🏝️ Benefits

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

• Potential for new hire equity grants, subject to plan terms and local eligibility.

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

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

• Flexible time off policy.

• Local team meetups.

• Support for mental health and well-being.

• Access to professional development resources.

• Options for remote work arrangements.