Senior Product Manager Platform

Own the platform vision. Define, evangelize, and execute a multi-year vision and roadmap for the core platform, and drive alignment across engineering, product, and executive leadership so it serves the broader business strategy.

Own the control plane. Set the direction for how the platform is managed, orchestrated, configured, and governed — including configuration and lifecycle management, safe rollout mechanics (versioning, phased rollouts, rollback), multi-tenancy, and the security and governance controls enterprises require.

Own the data plane. Drive the runtime that executes customer workloads — its performance, throughput, and resilience — across cloud-hosted, hybrid, and on-premises deployment models, including how runtime engines deploy inside customer environments and scale under enterprise load.

Own observability. Make the platform measurable and debuggable for the people who operate it. Drive the strategy for telemetry, monitoring, alerting, and SLOs/SLIs, and for the self-service troubleshooting experience that lets customers and internal teams resolve issues quickly.

Enable generative integration. Ensure the platform is the foundation on which AI agents and MCP servers run reliably and at scale. Partner with the AI product manager to translate the product's generative and agentic roadmap into the underlying platform capabilities it depends on.

Champion the developer and operator experience. Obsess over the end-to-end journey for the people who build on and run the platform. Drive the strategy for APIs, SDKs, and documentation to create a world-class, self-service experience.

Tie investment to outcomes. Author business cases that connect platform investments to measurable results — faster GTM for new products, infrastructure cost-efficiency, and improved customer satisfaction and retention.

Set and defend KPIs and SLOs. Partner with Principal Engineers on architecture decisions across microservices, data models, and APIs, and define the KPIs and service-level objectives that hold the platform to an enterprise-grade reliability bar.

Prioritize and make trade-offs. Own the roadmap and backlog, and make the hard prioritization calls that keep engineering focused on the highest-impact work.

Lead through influence. Guide cross-functional teams through the full lifecycle — discovery, experimentation, launch, iteration — and build a culture of data-driven decision-making.

Be the platform's advocate. Communicate the platform's value and direction to internal stakeholders, partners, and the market through clear writing, presentations, and thought leadership.