Engineering Manager, Catalog Integration

Netflix•Los Gatos, CA

7d•$436,000 - $791,000

About The Position

The Title and Launch Management (TLM) team is responsible for building and innovating the technology foundations that enable the ingest, setup, launch, and global distribution of all types of entertainment on Netflix—including series, movies, games, ads, live events, trailers, and more. TLM acts as the bridge between the title creation lifecycle and the consumer experience, ensuring that launching titles on Netflix is efficient, flexible, accurate, and scalable. Our team's goal is to make launching titles as seamless as possible, supporting both operational and creative needs across the company. The Catalog Integration team turns the outputs of many independent content workflows into a coherent catalog that other systems can use. Partner teams create the artwork, language assets, ratings, descriptions, trailers, and other information that surrounds a title; Catalog Integration provides the federated data API and transformation layer that bring those outputs together, connects them into the catalog graph, and transforms them into a consistent view. We publish the real-time feeds that unblock every downstream, member-facing system — the moment our feeds go out, hundreds of services spring into action to serve that update to members. We invest in proprietary, cutting-edge tooling for data snapshots, recovery, graph-aware rollbacks, fast/override publication lanes, and realtime overrides, so that one bad entry never holds up the rest of the catalog. Our work enables Netflix's cutting edge business bets like Live, Games, and Sports while continuing to deliver the critical data that drives the streaming video content experience.

Requirements

3 or more years building and managing high-performing, inclusive teams, attracting top talent, fostering accountability, and ensuring all voices inform decisions.
Experience delivering and operating high-performance data pipelines with near-real-time latency, balanced with consistency and partition tolerance, behind production internet consumer-scale workloads
Experience driving a culture of excellence, unlocking high-velocity business and product results while cultivating an ownership culture with best-in-breed systems reliability and operational readiness.
Proven ability to define and communicate systems strategy to drive long-term product feature enablement.
Skilled at prioritizing team efforts, aligning them with business objectives, and using data, input, and pilot investments to bring rigor to decision-making.
Effective communication and collaboration skills to build cross-functional partnerships, influence strategic direction, and empower team members across global teams.

Nice To Haves

Experience building generative AI solutions in ambiguous environments, with a proven ability to creatively experiment, develop innovative approaches, and collaborate effectively across cross-functional teams.
Experience leading engineering teams supporting large-scale data pipelines updating in the 10M+ updates/second regime
Experience with in-memory data snapshot architectures, point-in-time consistency, or graph-aware rollback/recovery systems
Experience leading the operation and optimization of CPU- and memory-intensive cloud services in the range of 1,000s to 10,000s of CPUs

Responsibilities

Own the reliability and timeliness of the real-time catalog feeds and publication pipeline that unblock every downstream, member-facing system, including the fast lanes and override lanes that keep a bad entry from holding up the rest of the catalog
Own Catalog Entity, our shared content modeling abstraction, evolving it to represent common structure and content-type-specific variation across films, episodic series, live shows, sports, and future content types without requiring a bespoke pipeline for each
Own the data integrity of the catalog: validate collected data against the model and business logic, hold back or override bad changes, and detect and remediate systemic feed failures
Partner with peer teams on setup-side object modeling and on the downstream member-facing contract
Lead collaboration with engineers, program managers, product managers, and other stakeholders to drive vision, strategy, and adoption
Foster a culture of accountability, ensuring timely and reliable delivery of the team's roadmap to support business needs
Act as a trusted technical advisor, guiding thoughtful decision-making in ambiguous situations
Communicate complex ideas clearly and influence decisions among diverse stakeholders
Balance business goals with strong engineering practices, investing in foundational work and continuous improvements
Hire, coach, and lead a team of engineers with deep data modeling and distributed systems expertise, inspiring exceptional results in stability, performance, and product experience
Build an inclusive team culture where everyone feels empowered, accepted, and respected