., text, metadata, image, video, and audio) for ML and GenAI model development and evaluation
• Partners closely with Content Promotion and Distribution DSE, AI and Data Platform, Content Engineering to build and steward complex data and media pipelines, and to set best practices for data storage, access, and usage by analytics engineers, data scientists, and software/ML engineers....are, and ML engineering).
• Own the end-to-end data foundations for Content Promotion & Distribution, spanning:
• Traditional data engineering craft: batch/streaming pipelines, data modeling, data warehousing, data quality, and reliability for analytics and experimentation.
• Multi‑modal, ML‑ready data: media, text, and rich metadata pipelines that prepare data for training and serving ML and GenAI models.
• Partner with cross-functional leaders across Content Promotion & Distribution DSE, AI ML Platform, Content Engineering, Studio Algo, and Marketing to ideate, prioritize, and execute on high-impact data products and tools.
• Steer deeply impactful work on foundational data and media products that support Netflix's Content Promotion & Distribution, spanning agentic solutions, multimodal media understanding, and generation. :
• Title launch management and promotional planning
• Analytics and optimization for promotional media
• Content media and ML foundations, including scal...This role may be for you if…
• You have been leading data engineering teams for 7+ years, including managing managers and larger, heterogeneous teams (data, software, ML engineers) or shared-resource teams.
• You have a proven track record leading innovative, influential data engineering work in complex business domains, ideally involving multimodal media data marketing/promotion, content/media, experimentation, and or ML/AI-driven products.
• You are comfortable owning the technical quality of both:
• Analytics-focused data engineering (ETL/ELT, modeling, warehousing, data quality), and
• ML-focused data engineering (feature pipelines, media and multi‑modal data preparation, training/serving data sets), even if you are not writing production code every day.
• You are a crisp communicator who develops strong relationships with a wide variety of stakeholders-technical and non-technical-and can drive alignment across Director/Manager-level partners.
• You are deeply invested in