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 Role
This Technical Program Manager will lead high-impact, cross-functional programs across Netflix’s Cloud Infrastructure and AI Platform that deliver meaningful outcomes for both platform reliability and customer needs. You will drive fleet-wide modernization, agility, scalability, reliability, and efficiency, while abstracting complexity for internal customer teams. This includes partnering on migrations, adoption, and scaling of cloud infrastructure platforms and the AI Platform, enabling ML and AI practitioners to seamlessly develop, train, deploy, serve, and manage models.
This role requires experience driving cloud infrastructure scalability, reliability, and efficiency at scale, a proven ability to develop deep internal customer relationships, and an understanding of how to adapt cloud infrastructure for changing business needs.
Netflix’s Cloud Infrastructure serves as the backbone for Netflix's growing scale and engineering productivity, representing a critical strategic capability spanning compute, networking, storage, infrastructure management, performance engineering, and platform services.
Responsibilities:
Lead initiatives that drive adoption and scalability of infrastructure platforms, including large-scale platform modernization, migrations, and feature rollouts.
Partner closely with leaders, engineers, PMs, and practitioners to decompose complex problem spaces into technical execution plans with well-defined milestones, ownership, and success criteria.
Drive execution rigor by tracking progress, managing dependencies, and proactively identifying risks, trade-offs, and mitigation strategies while implementing minimal process.
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:
7+ years of experience leading large-scale technical programs in infrastructure, internal platforms, or distributed systems, working directly with engineering teams.
Experience driving programs across infrastructure layers to develop scalable platforms that support diverse business needs.
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 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.
Self-starter who quickly brings organization and direction.
Proven ability to operate in 0→1 and evolving problem spaces, quickly bringing order and execution discipline without adding too much process.
Understanding of challenges in high-scale distributed systems, architectures, and data layers.
What sets you apart?
You can drive from strategy to execution with minimal direction.
You enjoy orchestrating programs with many moving parts - people, needs, and technologies.
You aren’t afraid to get your hands dirty, pulling data to provide insight, debug issues, and monitor system health.
You have a data-driven mindset in your decision-making.
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.
Nice to have:
Experience with fleet-wide cloud efficiency and/or building a culture of cost efficiency.
Experience with machine learning training and experimentation.
Experience with machine learning pipelines.
Experience with inference at production scale.
Experience applying AWS cloud services at a large scale.
Experience with Kubernetes used natively in platform services.
Experience with 3rd party vendors/tools for training and inference experimentation uses.
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 $290,000.00 - $460,000.00. 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.
