Product Manager - Run & Scale Reliably

Nominal•Los Angeles, CA

About The Position

The Product Manager owns the customer journey for operating Nominal reliably at scale across the deployment options customers prefer: fully managed, bring-your-own-cloud (BYOC), and self-hosted. The role helps administrators and developers configure capacity, observe system health, recover from incidents, and scale. It is suited to a PM who has owned cloud infrastructure, database, or reliability journeys and can navigate ambiguous technical decisions with Engineering and customers. The PM shapes which operational problems matter most across deployment models and guides the team toward appropriate designs.

Requirements

Prior ownership of the roadmap for a cloud infrastructure, database, or developer-platform product.
Experience shipping a capacity management, observability, backup and recovery, or availability feature for a production service.
A track record of turning operational failure data, such as incidents, support escalations, or SLO misses, into customer-facing improvements that shipped.
Depth in operational metrics, demonstrated through journey or service metrics defined and reported, such as time to provision, configuration success rate, or uptime.
Experience owning a product area that spanned multiple engineering teams.

Nice To Haves

A background in products built on Kubernetes, a managed database, or a workload scheduler.
Experience shipping or supporting a product's first single-tenant, self-hosted, or BYOC deployment.
Hands-on use of SLOs or infrastructure automation for a service you owned.

Responsibilities

Own experiences for provisioning, cluster configuration, capacity management, workload health, and operational controls.
Design self-service workflows for starting, pausing, and resizing dedicated clusters, with clear guardrails and feedback.
Partner with infrastructure Engineering on reliability, performance, availability, backup, recovery, and operational transparency.
Define how the product serves multi-tenant, dedicated single-tenant, BYOC, and self-hosted needs without unnecessary complexity.
Translate operational failure modes and support insights into prioritized customer-facing improvements.
Define and track journey metrics such as time to operational readiness, successful configuration, reliability, and recovery experience.
Explore AI-assisted diagnostics and operational guidance with human control and safety.