Staff Product Manager, Compute Platform

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Product Manager, Compute Platform based in the United States. The Staff Product Manager, Compute Platform will define the strategy and roadmap for managed cloud services that help developers build, deploy, and scale applications without managing underlying infrastructure. This role combines developer experience, cloud platform architecture, and infrastructure economics across application hosting, serverless computing, and container registry services. You will work closely with engineering, finance, infrastructure, and go-to-market teams to deliver simple, reliable, and cost-efficient products. From improving workload utilization and pricing models to streamlining deployment workflows, your decisions will influence both customer success and platform profitability. The role offers broad product ownership, technical depth, and the opportunity to shape a growing compute platform product function. It is ideal for an experienced product leader who can connect customer needs with engineering trade-offs and measurable business outcomes

Accountabilities

• Own product strategy and roadmap: Define and execute the vision for managed application hosting, serverless functions, and container registry services, translating platform strategy into prioritized features that balance simplicity, performance, and operating efficiency.
• Drive platform economics: Determine how applications, functions, and registry workloads use shared compute infrastructure. Partner with engineering and finance to improve utilization, workload density, resource allocation, and cost per unit of customer usage.
• Anticipate infrastructure trends: Track processor roadmaps, including Intel, AMD, and ARM; virtualization and microVM technologies; container runtimes; and workload isolation models. Translate emerging developments into product decisions around instance sizing, runtime selection, and price-performance tiers.
• Improve the developer journey: Own the end-to-end experience from source code or container image through deployment, autoscaling, and observability. Identify and remove friction across authentication, networking, registries, logs, and billing.
• Lead customer discovery: Engage developers, startups, and small-to-medium-sized business platform teams. Analyze support cases and community feedback to identify customer needs and translate them into jobs-to-be-done, user stories, and acceptance criteria.
• Own packaging and pricing: Develop pricing and metering models for compute, network egress, build minutes, storage, function invocations, and image pulls. Ensure pricing reflects cost to serve while identifying opportunities to increase adoption and cross-product usage.
• Guide technical product decisions: Collaborate with engineering on control-plane and data-plane architecture, build pipelines, scheduling, autoscaling, serverless cold starts and concurrency, registry performance, garbage collection, and multi-region placement.
• Improve reliability and performance: Establish and monitor service-level objectives (SLOs), performance standards, and cost targets. Prioritize improvements that strengthen availability, deployment success, latency, and infrastructure efficiency.
• Monitor the competitive landscape: Assess competing managed compute, platform-as-a-service, serverless, and container solutions to identify opportunities to differentiate through simplicity, performance, and pricing.
• Lead product launches and adoption: Coordinate launches with product marketing, documentation, sales, and support teams. Remain accountable after general availability for activation, adoption, retention, expansion, and gross margin.
• Measure business and product outcomes: Track service revenue, attach rates, infrastructure utilization, cost per workload, gross margin, time to first deployment, customer retention, deployment reliability, function cold-start latency, and image-pull performance.
• Collaborate across teams and regions: Work closely with engineering, infrastructure, finance, and go-to-market stakeholders across time zones, contributing to the development of the compute platform product management function.

Requirements

• Product management experience: At least 8 years of product management experience, with a demonstrated record of defining and launching managed cloud compute, platform-as-a-s…