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.
We're looking for a Senior Manager to lead the AIMS Data Systems team, which builds the web-scale datasets and systems behind personalization, recommendations, and product optimization. The team collects, processes, and attributes signals from member interactions, content, and business operations, turning them into trusted data that improves the member experience.
You'll set strategic and technical direction for large-scale batch and streaming pipelines. You'll ensure that data is accurate, timely, well-documented, and trusted by product, data science, ML, and engineering partners. As a senior leader, you'll hire and develop strong engineers, set priorities across competing needs, and communicate clearly with technical and non-technical stakeholders. You'll balance near-term delivery with a long-term platform strategy, modernizing core data pipelines and schemas while keeping downstream consumers stable.
What you'll do- Lead and develop a team building the ingestion, processing, and attribution systems behind engagement, content, and business data.
- Set the roadmap and technical direction for batch and streaming data platforms, in partnership with product, data science, ML, and engineering teams.
- Deliver reliable, timely, and well-documented data for model training, evaluation, and decision systems.
- Establish standards for data quality, observability, lineage, and operational reliability across critical datasets.
- Partner with measurement and experimentation teams to improve attribution methods and validate them against causal evidence.
- Modernize core pipelines and schemas while maintaining stable contracts for downstream users.
- Build self-service tools and clear data contracts that make trusted data easier to discover and use.
Minimum Qualifications- 8+ years in data engineering, data platforms, or analytics engineering, including 3+ years managing engineers or technical teams.
- Hands-on experience with large-scale batch and streaming pipelines, such as Spark, Flink, Kafka, Iceberg, and Airflow or similar orchestration.
- Experience owning user event and engagement data end to end: instrumentation, schema design and evolution, ingestion, and data quality.
- Working knowledge of attribution concepts, such as joining exposures and outcomes, sessionization, and deduplication.
- Track record of setting technical direction, prioritizing across competing stakeholders, and delivering multi-quarter roadmaps.
- Strong communication skills with product, data science, and engineering partners.
Preferred Qualifications- Experience building data systems that feed behavioral signals back into personalization, recommendation, or machine learning models.
- Deep attribution experience, including multi-touch or incrementality-aware approaches, and the tradeoffs between rules-based and model-based methods.
- Experience with data contracts, lineage, observability, and SLAs for business-critical datasets.
- Familiarity with ML data needs, such as feature stores, label generation, training-data freshness, and feedback-loop risks.
- Experience building or scaling a platform used by many internal teams, including self-service tooling.
- Background in streaming, media, or consumer subscription products at global scale.
- Comfort with privacy and governance constraints on user-level data, such as consent, retention, and regional rules.
- Experience hiring, developing, and retaining senior and staff engineers, and managing through ambiguity.
Generally, 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 $525,000.00 - $950,000.00. This compensation range will vary based on location.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
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.
Job is open for no less than 7 days and will be removed when the position is filled.
