Netflix Logo

Netflix

Principal Product Manager, Compute Platform - Cloud Infrastructure

Posted 21 Days Ago
Remote
Hiring Remotely in USA
660K-1M Annually
Entry level
Remote
Hiring Remotely in USA
660K-1M Annually
Entry level
Netflix is hiring a Product Manager for its Compute organization. The provided posting contains no specific responsibilities or qualification details. Compensation is an annual salary ranging from $660,000 to $1,000,000, with flexibility between salary and stock options, plus comprehensive benefits.
The summary above was generated by AI

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 Netflix 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.


The Opportunity

We’re looking for a Principal Product Manager with broad knowledge of distributed systems and infrastructure, strong systems thinking, and the ability to work with engineers at architectural depth. You’ll lead the modernization of Netflix’s Compute Platform as AI becomes a larger part of what we build. The goal is a common platform where services, batch jobs, training, inference, and agents can run securely, reliably, and efficiently at Netflix scale. You’ll own product direction and execution across the Compute portfolio, making the tradeoffs required to evolve our infrastructure, support new workload patterns, use capacity effectively, and meet specialized needs across Studio, Ads, and Games. You’ll turn deep technical context into a coherent strategy, sound product decisions, and meaningful results across the business. You’ll have the autonomy to make those decisions and the accountability that comes with them.


What You Will Do

-Set the strategic direction for Netflix’s Compute platforms in an agent-first world. You’ll 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. At Netflix scale, this evolution is as much a product challenge as an engineering one.

-Improve how we manage GPU capacity. You’ll own the roadmap for provisioning, scheduling across regions, and fleet utilization. The goal is to give training and inference workloads the capacity they need within seconds while using the fleet efficiently.

-Define how agents run at Netflix. You’ll lead 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. You’ll improve our managed offerings so teams can focus on their work rather than infrastructure details, guided by regular engagement with service owners, ML engineers, and teams building agents.

-Improve efficiency across the fleet to drive hundreds of millions of dollars of impact. You’ll work on defining systems that manage compute supply and demand to ensure efficient resource use and that compute costs grow more slowly than demand. You’ll also establish clear measures for adoption, utilization, cost per workload, and reliability.

-Partner with teams across Ads, Live, Games, and Studio to ensure our compute platform supports their most demanding workloads, from sudden traffic spikes during ad breaks and live events to latency-sensitive processing in regions with limited local infrastructure.

What We're Looking For

Strong technical product management skills are table stakes. What will set someone apart in this role is:

-More than 10 years of experience in technical product management or a similar technical role in compute infrastructure. You should be 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. This includes 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. You understand that sequencing, adoption, incentives, and the long tail of migration are product decisions, not cleanup work for engineering.

-The ability to earn the trust of experienced engineers and challenge their thinking in useful ways. 

You make clear decisions with incomplete information, hold direction under pressure, and change course when the evidence calls for it.

Strong leadership and communication. You can explain complex decisions to technical and executive audiences, build alignment across teams, and influence without relying on authority. You assume good intent, seek out different perspectives, give and receive direct feedback, and prioritize shared outcomes over individual ownership.

We are an equal opportunity employer and celebrate diversity, recognizing that diverse thought and backgrounds build stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Our culture is unique, and we live by our values, so it’s worth learning more about Netflix culture.


How Netflix Simplified Batch Compute with Kueue

In-House LLM Serving at Netflix

Scaling LLM Post-Training at Netflix

Mount Mayhem at Netflix: Scaling Containers on Modern CPUs

How Netflix's Container Platform Connects Linux Kernel Panics to Kubernetes Pods


Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $660,000.00 - $1,000,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix New York, New York, USA Office

245 W 17th St, New York, NY, United States, 10011

Similar Jobs

10 Minutes Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads presales solution consulting for ServiceNow Integrated Risk Management and GRC solutions. Translates customer processes and pain points into configured solution environments, develops sales campaigns and demonstrations, advises on risk and compliance programs, collaborates with product and development teams, and enables other consultants. Requires strong GRC expertise, enterprise experience, communication skills, and up to 25% travel.
Top Skills: ArcherGovernance Risk And Compliance (Grc)Ibm OpenpagesMetricstreamOnetrustServicenowServicenow Integrated Risk Management
11 Minutes Ago
Remote or Hybrid
New York, NY, USA
155K-272K Annually
Senior level
155K-272K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Own ServiceNow’s social and content strategy across Meta, LinkedIn, YouTube, TikTok, X, and emerging platforms. Develop content architecture, platform-specific strategies, creative briefs, audience positioning, and always-on programming. Activate practitioner and customer communities, use performance insights to guide strategic decisions, monitor cultural and platform trends, and lead cross-functional execution with creative, product marketing, editorial, paid media, and customer marketing teams.
Top Skills: LinkedInMetaPerformance Analytics DashboardsSocial Listening PlatformsTiktokXYoutube
11 Minutes Ago
Remote or Hybrid
114K-160K Annually
Senior level
114K-160K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Drive new business revenue through SaaS licensing sales across a defined territory. Build C-suite relationships, develop account and territory plans, map stakeholders, coordinate cross-functional sales teams, advise customers on IT roadmaps, identify specialist resources, negotiate deals, and achieve sales targets while applying AI-related business insights.
Top Skills: AISaaS

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account