Engineering Manager, Data Experience

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Netflix is revolutionizing entertainment by creating movies TV series live shows and games that people love around the world.

As Netflix continues to innovate on its products and grow its member base beyond 280 million, we have a strategic northstar goal to build well-connected data ecosystems to help the business be more connected and drive more insights across all product domains at Netflix. 

To realize the northstar goal, the Data Experience team provides powerful and personalized enterprise software for internal teams doing data discovery, creation, and visualization. Our product packages Netflix’s data services into a cohesive experience for users, and strives to enable data-driven decision making in all aspects of our business. We focus on user-centered product delivery and prioritize features that enhance the productivity of our colleagues; indexing on connectivity, trust, innovation, and reliability. It would allow Netflix to leverage data as its most valuable and strategic asset efficiently, effectively, securely, and in compliance with regulations. Here is the team's technical charter which has more details.

We are looking for a strong seasoned technical leader to help us build and realize this vision. 

About the Role
 

As a manager, you will guide and mentor your team in all areas of UI engineering, including architecture, performance, accessibility, design systems, and developer experience. You will work at the crossroads of infrastructure and usability, delivering tools that make our internal platform both robust and enjoyable for technical users. Additionally, you will shape the vision and strategy for intuitive UI experiences that enable users to leverage AI-driven data products effectively. Your focus will be on creating cohesive UI solutions that empower engineers to advance AI-powered discovery, governance, and other key initiatives.
 

Responsibilities

• Lead, mentor, and develop a team of UI engineers building a unified suite of data products across the data platform ecosystem.

• Drive technical direction and architecture for frontend systems (React, TypeScript, GraphQL), balancing scalability, reusability, and simplicity.

• Partner with Product, UX, and Backend Engineering to shape end-to-end data discovery north star experiences, enhancing data-driven decision-making through our data portal, query engine UI, and interactive tools.

• Collaborate with infrastructure teams working on databases, stream processing platforms, storage systems, and query engines to align on APIs, capabilities, and integration patterns.

• Make swift, high-quality decisions to unblock progress, reduce ambiguity, and uphold delivery momentum.

• Champion best practices in accessibility, performance, and operational excellence for production-grade frontend systems.

• Shape roadmap and priorities to maximize adoption, platform leverage, and end-user impact.
   

Qualifications

• 4+ years managing engineering teams, with a strong track record of growing individuals and delivering complex systems.

• 8+ years of experience building modern web applications with deep expertise in full stack/frontend systems.

• Proven experience developing internal tools or data-facing applications used by engineers, analysts, or ML practitioners.

• Strong product instincts and the ability to align engineering efforts with user needs and platform value.

• Ability to make sound, timely decisions in fast-paced environments with evolving priorities with a combination of data and intuition.

• Demonstrated success in cross-functional collaboration across product, design, and adjacent engineering domains.
   

Bonus Points

• Experience building or contributing to data portals, query interfaces, notebook platforms, or stream processing UIs.

• Familiarity with modern data infrastructure: Kafka, Flink, Trino, Iceberg, or internal developer platforms.

• Experience with accessibility standards, testing frameworks, and design systems at scale.

Specifically, you will:

• Drive, build, and deliver the vision, strategy, and adoption of data discovery and governance tech solutions across Netflix.

• Form trusting cross-functional partnerships to align across business stakeholders, product managers, and many engineering teams to ensure our solutions meet their business needs and deliver the most critical impact for the business.

• Build, scale and grow a team of outstanding engineers, challenge them to bring their best selves to work every day, and deliver industry-leading results in deriving business insights from our deliverables. 

• Balance smart risks, investment in foundational technical work, paying off tech debt, and incremental improvements to deliver timely results across multiple critical and competing priorities. 

• Have a strong execution framework and best practices in delivering timely results amidst numerous demands and complex business priorities. 

Our culture is unique, and we live by our values, so it’s worth learning more about Netflix culture.

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 $190,000 - $920,000.

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.