
Staff Product Manager, Compute Platform
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Texas.
• Take ownership of the vision, strategy, and roadmap for the App Platform, Serverless Functions, and DOCR.
• Manage platform economics, focusing on cost to serve, utilization, density, and enhancements in bin-packing.
• Monitor trends in processors, virtualization, microVMs, container runtimes, and isolation, translating these into platform decisions.
• Outline the complete developer journey from source repository or container image to deployed, autoscaled, and observable applications or functions.
• Conduct discovery sessions with developers, startups, and SMB platform teams.
• Convert insights from customers and the community into jobs-to-be-done, user stories, and acceptance criteria.
• Oversee packaging and pricing strategies for platform services.
• Collaborate with engineering on trade-offs related to control-plane and data-plane architecture.
• Propel performance, reliability, efficiency, SLO, and cost-target outcomes.
• Analyze the competitive landscape for managed compute and PaaS offerings.
• Lead product launches in coordination with marketing, documentation, sales, and support teams.
• Manage post-GA adoption, activation, retention, and margin outcomes.
• Report directly to the Director of Product.
• Collaborate with the Hyderabad-based Compute Cloud Services engineering team and cross-functional stakeholders.
• A minimum of 8 years of experience in product management.
• Demonstrated success in defining and launching managed cloud compute, PaaS, serverless, or container products.
• Strong understanding of PaaS, serverless, and container registry models.
• Knowledge of buildpack-based deployments, function runtimes and triggers, concurrency and cold start trade-offs, as well as OCI image build, storage, and distribution.
• Familiarity with CPU architectures such as Intel, AMD, and ARM, including their price/performance characteristics.
• Understanding of virtualization, microVMs, container runtimes, and isolation techniques.
• Knowledge of cost drivers related to compute, memory, storage, and networking.
• Ability to create a cost-to-serve model for a multi-tenant service and translate it into pricing and utilization objectives.
• Capability to specify straightforward APIs, CLIs, and console workflows.
• Proficiency in data-driven decision-making, with the ability to define and analyze product, utilization, and margin metrics.
• Exceptional communication skills and cross-functional leadership abilities.
• Preferred: 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.
• Preferred: Understanding of datacenter fundamentals.
• Preferred: Prior experience as an early or lead PM for a product area in a new geographic region.
• Preferred: Knowledge of DigitalOcean's existing product offerings.
• Access to professional development resources.
• Reimbursement for relevant conferences, training, and education, in accordance with company policy.
• Flexible time off policy.
• Opportunities for local team meetups.
• Support for mental health and well-being.
• Equity compensation, which may include a new hire equity grant.
• Employee Stock Purchase Program available in participating countries.
• Annual bonus plan for eligible non-sales positions.
• Remote work options.
Cast AI
Eltropy
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