Staff Product Manager, Compute Platform

DigitalOcean • Boston, MA

1d • Remote

About The Position

DigitalOcean is seeking a Staff Product Manager to own the product strategy and roadmap for App Platform, Serverless Functions, and DigitalOcean Container Registry (DOCR). These managed compute services help developers deploy applications without managing servers. The role spans developer-facing experiences and the underlying platform economics, including workload placement, cost to serve, utilization, and compute technology decisions.

The position reports to the Director of Product and works closely with the Hyderabad-based Compute Cloud Services engineering team, engineering and product peers across Droplet/VPC, Kubernetes, and infrastructure, as well as finance and go-to-market teams. The successful candidate will connect customer needs and developer workflows with architecture, capacity, reliability, and margin considerations, and contribute to building DigitalOcean's compute platform product management group.

The role includes defining service packaging and pricing, improving the developer journey from source code or container image to deployed and observable workloads, and driving product performance, reliability, and efficiency. It also involves leading launches and measuring outcomes including adoption, activation, retention, revenue, and gross margin. This is a remote role.

Requirements

• 8+ years of product management experience.
• Proven track record defining and launching managed cloud compute, PaaS, serverless, or container products, ideally with ownership of both customer experience and unit economics.
• Strong working knowledge of PaaS, serverless, and container registry models, including buildpack-based deploys, function runtimes and triggers, concurrency and cold-start tradeoffs, and OCI image build, storage, and distribution.
• Solid understanding of cloud compute, including Intel, AMD, and ARM CPU architectures and their price/performance characteristics, virtualization and microVMs, container runtimes and isolation, and their effects on density, latency, and cost.
• Cost and capacity acumen, including understanding compute, memory, storage, and network cost drivers; ability to build a multi-tenant service cost-to-serve model and turn it into pricing and utilization targets.
• Strong developer-experience instincts and ability to specify simple APIs, CLIs, and console flows, with effective defaults and user-friendly escape hatches.
• Data-driven decision-making skills, including defining metrics, interpreting utilization and margin dashboards alongside product dashboards, and adjusting direction based on results.
• Excellent communication and cross-functional leadership, including aligning engineering, infrastructure, finance, and go-to-market stakeholders across time zones.

Nice To Haves

• Hands-on Kubernetes experience, such as cluster operations, workload scheduling, the operator and Helm ecosystem, or building a platform on Kubernetes.
• Prior experience on an IaaS or compute team, such as VM or bare-metal products, capacity planning, or fleet efficiency.
• Experience shipping on or competing with Heroku, Render, Fly.io, Cloud Run, Lambda, Fargate, ECR/GCR/ACR, or similar services.
• Familiarity with datacenter fundamentals, including rack layouts, power and cooling, and network design.
• Prior experience as an early or lead product manager for a product area in a new geography.
• Familiarity with DigitalOcean's existing product portfolio.

Responsibilities

• Own the vision, strategy, and roadmap for App Platform, Serverless Functions, and DOCR, translating them into prioritized, well-scoped features.
• Own platform economics, including mapping workloads and registry storage to compute, tracking cost to serve, and improving utilization, density, and bin-packing.
• Monitor processor, virtualization, microVM, container runtime, and isolation trends and translate them into platform decisions.
• Define and improve the end-to-end developer journey across the services, removing friction across authentication, networking, registry, logs, and billing.
• Conduct customer discovery with developers, startups, and SMB platform teams; use support and community feedback to define jobs-to-be-done, user stories, and acceptance criteria.
• Own packaging and pricing, including metering compute, egress, build minutes, storage, invocations, and image pulls, and align pricing with cost to serve and related DigitalOcean services.
• Partner with engineering on control-plane and data-plane architecture tradeoffs, including build pipelines, autoscaling, scheduling, function cold starts and concurrency, registry performance and garbage collection, and multi-region placement.
• Drive performance, reliability, and efficiency outcomes through SLOs, cost targets, and prioritized fixes.
• Monitor competitive managed compute and PaaS offerings and identify opportunities to differentiate on simplicity and price/performance.
• Lead launches with product marketing, documentation, sales, and support, and own post-launch results including adoption, activation, retention, and margin.
• Track platform services revenue and attach rate, fleet utilization and workload cost, gross margin, customer activation and retention, and reliability and performance against SLOs.

Benefits

• Annual bonus plan eligibility for non-sales roles, subject to plan terms and local eligibility.
• May be eligible for a new-hire equity grant, subject to plan terms and local eligibility.
• Equity compensation may include participation in the Employee Stock Purchase Program in participating countries.
• Reimbursement for relevant conferences, training, and education, subject to company policy.
• Flexible time off.
• Local team meetups.
• Mental health and well-being support.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed