Technical Program Manager 6

The Role

This Technical Program Manager is a senior individual contributor who 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 shape the multi-year program strategy and investment priorities, driving improvements across 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:

• Shape the strategic direction for large-scale platform modernization and adoption and drive it forward, including migrations and feature rollouts.

• Partner closely with leaders, engineers, PMs, and practitioners to identify 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.

• 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 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 can drive from strategy to execution with minimal direction.

• 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 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.

It would be even better if you had experience in some of the following areas:

• Fleet-wide cloud efficiency, building a culture of cost efficiency.

• Machine learning training and experimentation.

• Machine learning pipelines.

• Inference at production scale.

• Applying AWS cloud services at a large scale.

• Kubernetes used natively in platform services.

• External vendor management and collaboration.