Engineering Manager, Platform Systems — AIMS Engineering at Netflix

Department: Data & Insights

Compensation

$523,000 – $920,000/yr

Setup: On-site
Location: New York, New York
Type: Full-time
Level: lead/mgmt
Posted: Sep 28, 2026

Description

Netflix is hiring a senior engineering leader to own the technical strategy and roadmap for Platform Systems supporting AI for Member Systems. The role will build and scale a high-performing engineering team, set engineering excellence standards, own observability, evaluation, and tooling subsystems, guide AI stack modernization, and partner with infrastructure and AIMS teams. Candidates need significant experience leading distributed systems and ML infrastructure at scale, hands-on experience with advanced agentic architectures, and a track record of improving reliability, cost efficiency, and developer productivity. The role offers an annual salary of $523,000 to $920,000, with benefits including health plans, retirement matching, stock options, and paid leave.

Required Skills

Distributed systems
Observability
ML infrastructure
Developer productivity
Generative AI
Recommendation systems

Additional Information

Required Previous Experiences: Leading platform or infrastructure engineering organizations operating distributed systems at scale
Building subsystems for advanced agentic architectures and complex model systems
Operating ML infrastructure at scale
Building high-performing engineering teams and developing senior technical talent
Improving system reliability, reducing infrastructure costs, and accelerating engineering velocity at scale
Preferred Qualifications: Leadership experience building and operating large-scale infrastructure and distributed systems
Experience developing reliable, scalable machine learning platforms for recommendation, ranking, or personalization systems
Working knowledge of generative AI and traditional machine learning approaches
Understanding of the end-to-end machine learning lifecycle
Ability to lead teams across platform infrastructure, agentic AI systems, and recommendation technologies
Strong technical judgment balancing reliability, scalability, model quality, and product needs
Translation Company Name: Netflix