Principal Product Manager, Compute Platform - Cloud Infrastructure

Netflix•Remote, OR

1d•$660,000 - $1,000,000

About The Position

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. Netflix's Infrastructure Engineering organization provides the backbone that powers Netflix's global scale and operations across business verticals. Within this organization, Cloud Infrastructure Engineering provides a secure, scalable foundation that accelerates the productivity and innovation of Netfl technology teams by abstracting infrastructure complexity behind a managed platform. Compute sits at the center of that foundation: every service, batch job, training run, inference request, and agent at Netflix ultimately runs on the compute platform we build. Our Compute platform runs many kinds of workloads at a massive scale. That includes stateless and stateful services, batch jobs, streaming, media encoding, and a growing amount of distributed training and inference across our GPU fleet. Agentic workloads are now part of that mix. They introduce a new set of platform needs. Identity, sandboxed execution, observability, and cost accountability all need to be built in from the start.

Requirements

More than 10 years of experience in technical product management or a similar technical role in compute infrastructure.
Comfortable debating architecture, trade-offs, and system quality with senior engineers.
Deep knowledge of compute infrastructure, including containers, Kubernetes, scheduling and orchestration, autoscaling, capacity management, multi-tenancy, and cloud economics.
A strong understanding of AI infrastructure, including GPU provisioning, scheduling, and utilization for distributed training and inference, as well as the needs of agentic workloads such as secure execution, workload identity, isolation, and cost attribution.
Experience leading a large replatform or migration from start to finish.
The ability to earn the trust of experienced engineers and challenge their thinking in useful ways.
Make clear decisions with incomplete information, hold direction under pressure, and change course when the evidence calls for it.
Strong leadership and communication.
Ability to explain complex decisions to technical and executive audiences, build alignment across teams, and influence without relying on authority.
Assume good intent, seek out different perspectives, give and receive direct feedback, and prioritize shared outcomes over individual ownership.

Responsibilities

Set the strategic direction for Netflix’s Compute platforms in an agent-first world.
Define how our platform evolves to support this future, including guiding the move from Titus to a modern Kubernetes stack and weighing migration costs against the value of a common platform.
Improve how we manage GPU capacity, owning the roadmap for provisioning, scheduling across regions, and fleet utilization.
Define how agents run at Netflix, leading the development of a secure, managed environment that can support millions of agents, with built-in identity, isolation, governance, observability, and cost tracking.
Make compute easier to use by creating a seamless experience across the full compute spectrum, from VMs to functions.
Improve efficiency across the fleet to drive hundreds of millions of dollars of impact by defining systems that manage compute supply and demand.
Partner with teams across Ads, Live, Games, and Studio to ensure our compute platform supports their most demanding workloads.