Staff Product Manager, Compute Platform

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

📋 Description

• Take responsibility for the vision, strategy, and roadmap pertaining to App Platform, Serverless Functions, and the DigitalOcean Container Registry.

• Manage platform economics, which includes workload mapping, cost of service, utilization rates, density improvements, and bin-packing enhancements.

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

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

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

• Evaluate support and community feedback, converting it into jobs-to-be-done, user stories, and acceptance criteria.

• Manage the packaging and pricing strategies for platform services.

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

• Drive outcomes related to performance, reliability, efficiency, service level objectives (SLO), and cost targets.

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

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

• Oversee post-launch metrics such as adoption, activation, retention, expansion, and margin performance.

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

⛳️ Requirements

• At least 8 years of experience in product management.

• A proven history of defining and launching managed cloud compute, PaaS, serverless, or container products.

• Strong understanding of PaaS, serverless architectures, 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, along with virtualization and microVMs, container runtimes, isolation, density, latency, and cost considerations.

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

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

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

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

• Excellent communication skills and cross-functional leadership ability.

• Preferred: hands-on experience with Kubernetes.

• Preferred: previous experience with IaaS or compute teams.

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

• Preferred: understanding of datacenter fundamentals.

• Preferred: early or lead product management experience for a product area in a new geographic region.

• Preferred: familiarity with DigitalOcean's product offerings.

🏝️ Benefits

• Eligibility for an annual bonus plan.

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

• Reimbursement for relevant conferences, training, and educational opportunities, in line 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.