Staff Product Manager, Compute Platform

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

📋 Description

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

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

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

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

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

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

• Oversee the packaging and pricing of platform services.

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

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

• Keep an eye on the competitive landscape of managed compute and PaaS solutions.

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

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

• Report directly to the Director of Product while working alongside engineering, infrastructure, finance, and go-to-market teams.

⛳️ Requirements

• Over 8 years of experience in product management.

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

• Solid working knowledge of PaaS, serverless architectures, and container registry models.

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

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

• Knowledge of virtualization, microVMs, container runtimes, and isolation mechanisms.

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

• Capability to develop cost-to-serve models for multi-tenant services, converting these into pricing and utilization benchmarks.

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

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

• Exceptional communication and cross-functional leadership abilities across various time zones.

• Preferred: hands-on experience with Kubernetes.

• Preferred: prior experience with IaaS or compute teams.

• 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: experience as an early or lead PM for a product area in a new geographic region.

• Preferred: knowledge of DigitalOcean's product offerings.

🏝️ Benefits

• Eligibility for an annual bonus plan.

• Potential equity grant for new hires, subject to plan terms and local eligibility.

• 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.

• Employee Stock Purchase Program available in participating countries.

• Option for remote work.