Netflix Logo

Netflix

Technical Program Manager 6 - Infrastructure, AI

Posted An Hour Ago
Be an Early Applicant
Remote
Hiring Remotely in USA
420K-630K Annually
Expert/Leader
Remote
Hiring Remotely in USA
420K-630K Annually
Expert/Leader
Lead large-scale technical programs across Netflix’s infrastructure, AI, developer, or data platforms. The role partners with engineering, product, and executive stakeholders to define ambiguous problem spaces, create execution plans, manage dependencies and risks, influence technical roadmaps, and deliver scalable, secure, reliable GenAI and distributed-systems capabilities.
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.


The Team

The Infrastructure and GenAI Technical Program Management organization sits within Engineering Operations (Eng Ops), which helps Netflix's engineering teams move faster and more reliably at scale. Eng Ops serves as the strategic and operational arm of the broader Infrastructure and Security organization, spanning functional disciplines including Platform Modernization, Developer Education, Support, SRE, and Technical Program Management.


Infrastructure and GenAI TPM serves as the connective tissue across engineering, turning broad, complex technical portfolios into coherent, well-governed programs. TPMs act as strategic partners to Engineering and Product Management, driving these technical programs and influencing leaders across the organization. Often the first dedicated team members in this capacity, they establish the operating rhythms that keep execution on track, manage cross-team dependencies and partnerships, surface risks before they become a fire drill, and translate strategy into plans that teams can actually execute against.


A top priority for the org is GenAI, enabling the broader organization to build GenAI platforms and driving the shift to becoming GenAI-native.


We are hiring 3 distinct L6 Technical Program Managers to lead critical initiatives within Netflix’s Infrastructure and Security Organization. Each role will drive high-impact, cross-functional programs supporting the different areas below: 

AI Platform

This TPM will serve as connective tissue across Netflix's AI Platform, its customers, and the infrastructure teams it relies on. You will partner with AI/ML research and engineering teams, infrastructure engineers, PMs, leaders, and fellow TPMs to transform a broad, complex technical portfolio into a coherent, opinionated AI infrastructure platform. You will drive adoption, scalability, and modernization across data and model infrastructure, training and offline AI infrastructure, and inference at scale, including model serving, routing, and experimentation. As a strategic partner embedded early in a growing engineering organization, you will shape platform direction and operating rhythms, establish paved paths, improve lifecycle visibility, and build the reliability, security, and efficiency required to deploy and operate AI safely and effectively at Netflix's scale.

Developer Platform - GenAI

This TPM will focus on translating the Workforce AI Program’s strategy into measurable gains in capacity, delivery speed, quality, and cost efficiency by driving its highest-priority initiatives. You will act as connective tissue across technical and enterprise teams, leaders, and fellow TPMs. This role will align stakeholders, sequence work, manage complex dependencies and risks, and coordinate delivery across AI experiences, platforms, infrastructure, third-party products, and adoption programs. Success requires navigating evolving technologies, ambiguity, and distributed ownership while ensuring AI solutions scale responsibly, securely, and cost-effectively, earn user trust, and consistently connect technical investments to meaningful business outcomes.

Data Platform

This TPM will partner with the Data Platform and Online Data Stores & Movement Platform (ODSMP) engineering team - one of the most foundational and business-critical teams at Netflix. As Netflix builds toward an agentic infrastructure powered by GenAI, demand for real-time, low-latency data patterns - including feature stores, RAG pipelines, and AI-facing retrieval is accelerating, and ODSMP sits at the center of enabling the infrastructure that AI-native products and systems depend on. The TPM in this role will be a strategic partner to the engineering team and will act as the first team member as they navigate that growth, turning a broad, complex technical portfolio into a coherent, managed agentic platform with opinionated paved paths, while strengthening reliability, security, and cost governance at scale. The TPM will lead the team's core operating rhythms, manage the health of our partnerships, and drive technical cross-team programs that move the platform forward. 

Responsibilities:

A successful candidate will have experience driving large-scale technical programs across infrastructure and will be energized by the opportunity to help shape how AI and agentic systems are built and operated at scale. They will be comfortable operating in technical ambiguity, applying systems thinking to complex technical environments, influencing technical and strategic direction and translating emerging AI platform needs into executable programs that meaningfully impact thousands of engineers across Netflix.


  • Partner closely with leaders, engineers, PMs, and practitioners to identify, influence and frame net-new problem spaces before they are formally defined, then structure them into technical execution plans with well-defined milestones, ownership, and success criteria.
  • Personally drive execution rigor across complex, multi-team programs, tracking progress, managing dependencies, unblocking issues, and owning delivery outcomes end to end while implementing minimal process.
  • Influence org-level investment decisions, resource planning, and technical roadmaps in partnership with engineering and product leaders.
  • Communicate clearly and consistently with technical leadership and stakeholders on progress, risks, and decisions.
  • Use insights from program execution to influence platform evolution, architectural direction, and operational practices over time.

Requirements:
  • 10+ years of experience leading large-scale technical programs in infrastructure, internal platforms, or distributed systems, including significant time leading programs with org-level scope and executive stakeholders.
  • Demonstrated understanding of the GenAI tech stack, along with experience driving complex GenAI programs across the org.
  • Proven experience creating partnerships with cross-functional teams, driving large-scale technical strategies, debating technical approaches, and building long-term scalable solutions with engineers.
  • Proven ability to structure ambiguous, undefined technical problem spaces into executable programs, not just manage against a roadmap someone else defined.
  • Proven ability to identify gaps in solutions and weigh in on product vs. technology trade-offs.
  • Excellent written and verbal communication skills, with the ability to articulate technical constraints, trade-offs, and business impact to diverse audiences.
  • Understanding of challenges in high-scale distributed systems, architectures, and data layers. 

What sets you apart?
  • You have operated in 0→1 and evolving problem spaces, quickly bringing order and execution discipline.
  • You're equally comfortable setting the strategic direction and doing the hands-on work to move it forward, e.g. building the program plan, writing the technical alignment doc, pulling the data, and rallying and running the working group.
  • You operate as a strategic thought partner to VPs and Directors, not just a program tracker.
  • You enjoy orchestrating programs with many moving parts - people, needs, and technologies.
  • You have a deep understanding and point of view within your technical domain(s).
  • You have a healthy blend of technical knowledge with a customer-focused mindset and empathy.
  • You are a strong systems thinker with the ability to connect infrastructure capabilities to business outcomes.


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 $420,000.00 - $630,000.00. 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

A Minute Ago
Remote
US
133K-213K Annually
Mid level
133K-213K Annually
Mid level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Design end-to-end point-of-sale experiences for restaurant staff across terminal and handheld surfaces. Translate complex workflows such as ordering, payments, splits, modifications, and voids into fast, reliable, error-resistant interfaces. Partner with product, engineering, and research teams; conduct discovery, create prototypes and high-fidelity designs, address edge cases, communicate tradeoffs, and use research and business metrics to guide decisions. The role requires strong visual design, autonomy, collaboration, and an AI-first approach.
Top Skills: Ai ToolsHandheld DevicesPoint-Of-Sale TerminalsPrototyping
11 Minutes Ago
Remote or Hybrid
17 Locations
150K-220K Annually
Senior level
150K-220K Annually
Senior level
Information Technology • Productivity • Software • Infrastructure as a Service (IaaS)
Develop scalable C++ software that defines and enforces endpoint behavior across millions of managed Windows endpoints. Responsibilities include implementing features, improving platform performance, shipping production code, designing new systems, writing architecture documents, defining subsystem contracts, and collaborating with server, UI, product, and design teams. The role requires deep Windows systems and kernel-driver expertise, with preferred experience in WHQL, minifilter or WFP drivers, macOS Endpoint Security, and Linux kernel development.
Top Skills: AWSC++C++14+GoJavaKernel-Mode DriversKotlinLinux EbpfLinux Kernel ModulesMacos Endpoint SecurityMinifilterPostgresWhqlWindowsWindows Filtering Platform (Wfp)Windows Kernel Drivers
17 Minutes Ago
Remote or Hybrid
IL, USA
134K-224K Annually
Senior level
134K-224K Annually
Senior level
eCommerce • Information Technology • Retail • Industrial
Lead development of scalable search-platform software focused on product-catalog relevance. Design lexical and semantic retrieval, hybrid ranking, reranking, and learning-to-rank systems; evaluate quality through offline metrics and online experiments. Partner with Data Science, Product, Analytics, and Architecture teams on embeddings, relevance measurement, and technical solutions. Maintain production systems, resolve issues, mentor engineers, conduct code reviews, and promote continuous delivery and engineering best practices.
Top Skills: AgileApproximate Nearest Neighbor (Ann) IndexingBm25CachingDevOpsDistributed SystemsEmbeddingsHybrid RetrievalIndexingJavaLearning-To-RankPythonQuery RoutingReplicationRerankingScrumSemantic SearchShardingTf-IdfVector Search

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