Staff Product Manager, Compute Platform

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

📋 Description

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

• Manage platform economics, focusing on workload placement, service costs, utilization, density, and improvements in bin-packing.

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

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

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

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

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

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

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

• Keep an eye on competitors in managed compute and PaaS sectors.

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

• Manage post-GA results, focusing on adoption, activation, retention, and margin.

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

⛳️ Requirements

• A minimum of 8 years of product management experience.

• A proven history of 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 virtualization and microVMs, container runtimes and isolation, density, latency, and cost implications.

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

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

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

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

• Exceptional communication skills and cross-functional leadership capability.

• Preferred: Hands-on experience with Kubernetes.

• Preferred: Previous experience on an IaaS or compute team.

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

• Preferred: Knowledge of data center fundamentals.

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

• Preferred: Familiarity with DigitalOcean’s product portfolio.

🏝️ Benefits

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

• Flexible time off.

• Opportunities for local team meetups.

• Support for mental health and overall well-being.

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

• Eligible employees in participating countries may take part in the Employee Stock Purchase Program.

• Eligibility for DigitalOcean’s annual bonus plan.

• Commitment to equal-opportunity employment.