Engineering Manager - Search & Voice Systems
NetflixLos Gatos,California,United States of AmericaPosted 10 March 2026
Job Description
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 Opportunity:
Fast-paced innovation in Generative AI and large language models (LLMs) is greatly helping to advance numerous aspects of the Search and Recommendations experiences on the Netflix product, including content discovery and personalization for members.
The Search & Voice Systems team builds the backend systems that help millions of members globally find and discover content they’ll love via Search, Voice UI, and other interactive experiences in the Netflix product. The team is at the forefront of LLM innovation in the Consumer product and collaborates closely with machine learning research scientists, product managers, data engineers, and other engineering teams to deliver a personalized and interactive search experience, leveraging and paving the path for the latest advancements in LLMs.
We are looking for a seasoned engineering leader with excellent product sense to lead an amazing team of engineers as we scale for continued growth. You will develop a vision for the team and generate an engineering roadmap to deliver on multiple product and engineering initiatives. You will exemplify the Netflix leadership principles and formulate strong partnerships throughout the company to guide your team and their work. In this role, you will lead a team of engineers specializing in search technologies and distributed systems to help pave the future of Search in the Netflix product!
Responsibilities:
Balance multiple business and product priorities to deliver maximal impact
Develop an engineering roadmap that positions our systems for scale and continued innovation
Build a high-performing, inclusive, and diverse team of top engineering talent
Build strong and trusting partnerships with Product Managers, Engineering leadership, and Business stakeholders
Be a role model of the Netflix culture
Contribute, shape, and influence the broader Personalization roadmap
Support your team by helping them understand priorities and providing context to help them make better decisions
Drive success in a flat organization with minimal process and a heavy emphasis on individual responsibility
Understand the business and build domain expertise in functions relevant to your systems
Desired Experience:
Experience leading teams responsible for building high-traffic distributed systems to power Search, Recommendations, or Personalization experiences in the product
Strong technical acumen and can act as a credible technical advisor to the team, set and enforce a high-quality bar for code and scalable system design, and be a mentor for the team
A track record of hiring and growing diverse, highly talented tenured engineers deep into their careers to maximize their impact
Excellent at communicating context with the team, stakeholders, partners, and leadership, giving and receiving feedback, fostering new ideas, and empowering others without micromanagement
Demonstrated ability to develop, drive, and execute a technical vision and roadmap
Able to provide thought partnership to your business stakeholders and are actively sought out by Product Managers (PMs). You can take a conceptual idea and transform it into an actionable test that is both feasible and meets business needs.
Experience managing hybrid teams with members and partners distributed across (US) geographies & time zones
Links to Some of Our Work:
Lessons Learnt From Consolidating ML Models in a Large Scale Recommendation System
Global Languages Support at Netflix
Query Facet Mapping and its Applications in Streaming Services: The Netflix Case Study
Generally, our compensation structure consists ... (truncated, view full listing at source)
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