
Staff Product Manager, Compute Platform
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in Massachusetts.
• Take ownership of the vision, strategy, and roadmap for the App Platform, Serverless Functions, and DOCR.
• Manage platform economics, encompassing workload mapping, cost to serve, utilization, density, and improvements in bin-packing.
• Monitor trends in processors, virtualization, microVMs, and container runtimes, translating these into platform decisions.
• Define the complete developer journey from source repository or container image to deployed, autoscaled, and observable applications or functions.
• Engage in customer discovery with developers, startups, and SMB platform teams.
• Collect feedback from support and the community, converting it into jobs-to-be-done, user stories, and acceptance criteria.
• Handle packaging and pricing for platform services.
• Collaborate with engineering on tradeoffs between control-plane and data-plane architecture.
• Drive outcomes related to performance, reliability, efficiency, SLO, and cost targets.
• Keep an eye on the competitive landscape for managed compute and PaaS offerings.
• Lead product launches in partnership with marketing, documentation, sales, and support teams.
• Oversee post-GA adoption, activation, retention, expansion, and margin results.
• Report directly to the Director of Product while collaborating with engineering, infrastructure, finance, and go-to-market teams.
• Minimum of 8 years of experience in product management.
• Demonstrated success in defining and launching managed cloud compute, PaaS, serverless, or container products.
• Strong familiarity with PaaS, serverless, and container registry models.
• Understanding of buildpack-based deployments, function runtimes and triggers, concurrency and cold start trade-offs, and OCI image build, storage, and distribution.
• Knowledge of CPU architectures such as Intel, AMD, and ARM, along with their price/performance characteristics.
• Familiarity with virtualization, microVMs, container runtimes, and isolation protocols.
• Insight into the cost drivers of compute, memory, storage, and networking.
• Ability to develop cost-to-serve models for multi-tenant services and translate them into pricing and utilization objectives.
• Capability to specify straightforward APIs, CLIs, and console workflows.
• Proficient in data-driven decision-making and defining product and utilization metrics.
• Excellent communication skills and ability to lead cross-functional teams.
• Preferred: hands-on experience with Kubernetes.
• Preferred: previous experience in IaaS or on a compute team.
• Preferred: experience with products competing against 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 geography.
• Preferred: familiarity with DigitalOcean's existing product lineup.
• Eligibility for an annual bonus plan.
• Potential for a new hire equity grant.
• Opportunity to participate in the Employee Stock Purchase Program in applicable countries.
• Reimbursement for relevant conferences, training, and educational pursuits.
• Flexible time-off policy.
• Opportunities for local team meetups.
• Support for mental health and well-being.
• Access to professional development resources.
• Commitment to equal opportunity employment.
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