Netflix is looking for a Manager to lead the Content Enterprise DSE team, which provides foundational analytics, data science, and machine learning to support Content production. The goal is to drive impactful solutions through strategic leadership, strong partnerships, and technical expertise, improving enterprise productivity and managing risks.
Requirements
- Direct experience working on or managing AI/LLM-powered solutions in an internal enterprise and/or consumer-facing setting
- hands-on experience in language model embeddings, fine-tuning pipelines, and/or frameworks around language models is a plus
Responsibilities
- Lead and mentor a team in building and optimizing analytical insights, scalable ML pipelines, and LLM-powered solutions for cross-functional business teams
- Drive automation, standardization, and best practices in LLM workflows, including fine-tuning, evaluation, benchmarking, and deployment
- Oversee the evaluation, selection, and integration of third-party tools and foundational models when appropriate, partnering closely with Engineering and Platform teams on build-vs-buy decisions
- Guide the team to deliver impactful metrics, dashboards, and analytical insights on cross-cutting business foundations like core dataset management, content security & risk mitigation, and media orchestration platforms
- Coordinate across Product, Engineering, and Platform teams to define strategy, set roadmaps, and deliver data solutions across the organization, striking a balance between short-term prototypes and long-term architecture
- Communicate technical concepts and project impact to a diverse set of technical and non-technical stakeholders
Other
- Multiple years of experience building and managing high-performing teams, demonstrating the ability to hire well, inspire well, adapt to business changes, and handle challenging people issues with grace
- Passion and appreciation for leading multi-disciplinary teams; you value big leaps in ML model accuracy as much as an impeccably-designed dashboard
- Demonstrated history bringing together multiple disparate stakeholder perspectives to create clarity, evaluate trade-offs, and establish a path forward in ambiguous and complex technical environments
- Strong interest in staying up to date on industry trends and advancements, with good judgment on when to engage the team in exploring new ideas and approaches
- Exceptional written and verbal communication skills; ability to act as the bridge between technical and non-technical audiences
- A PhD or Master's degree in a relevant technical field
- 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.
