Jobs at Netflix

• Set the strategic direction for Netflix’s Compute platforms in an agent-first world. You’ll define how our platform evolves to support this future, including guiding the move from Titus to a modern Kubernetes stack and weighing migration costs against the value of a common platform. At Netflix scale, this evolution is as much a product challenge as an engineering one.

• 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 st...

• Work through open-ended problems and identify opportunities to evolve existing experiences or define new discovery, capability, or feature requirements
• Build a roadmap and take product concepts from idea through validation, shipping, measurement, and iteration

• Data Curation: Selecting, cleaning, and organizing raw data to create the best possible training sets for our models. The more abstractions we can make on the data, the faster we can innovate.
• LLM Evaluations: Providing benchmarks for foundational models and datasets, ensuring confidence and trustworthiness when offering these building blocks to application teams.

• Scheduling and programming: optimizing when and how titles launch, so members get a steady drumbeat of great content.
• Supporting the licensed slate: helping teams plan, track, and act on licensed content.

• Design-Led Engineering: Work elbow-to-elbow with Game Designers to prototype and ship AI-augmented gameplay.
• Player-Centric AI: Implement GenAI features that directly enhance the player experience, ensuring that AI-generated content feels intentional, high-quality, and - most importantly - fun.

• Operating distributed test infrastructure at scale
• Test orchestration & execution pipelines (parallelization, sharding, predictive test selection)

• Own the product strategy and roadmap for billing and financial workflows across CTV ad revenue: impression/ad-slot reconciliation, invoicing, revenue recognition support, discrepancy resolution, and dispute handling across demand partners, ad networks, and direct advertisers
• Translate ad tech mechanics — fill rates, viewability, make-goods, programmatic vs. direct-sold...

• Own the end-to-end developer experience for AIMS ML practitioners: local and remote dev environments, build and test infrastructure, CI/CD pipelines, and the tools researchers use to move from idea to production experiment.
• For TLM candidates: lead and grow a team of developer productivity engineers by setting directi...

• Solving real business needs at a large scale by applying your software engineering and analytical problem-solving skills.
• Architecting and building a robust, scalable, and highly available distributed infrastructure. You enjoy the pursuit of engineering excellence by evangelizing, establishing and iterating on best practices.

• Partner directly with stakeholders (e.g., Scientists, Product Managers, Engineers) on media planning and campaign management analytics initiatives.
• Lead open-ended discovery, surfacing risks and opportunities before they're asked for.

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.

• Design and ship production ML models and conversational AI agents that parse advertiser requests and help sellers plan and compare media plan options.
• Build and evolve the systems that evaluate and improve agent and model decision quality over time.

• Lead a platform engineering team that builds products for engineers and product partners
• Build strong relationships with Design, Product, UI Engineering, and foundational partners

• Scale Netflix’s developer platforms from early adoption to broad, exponential usage by making high-leverage product decisions and partnering across all engineering orgs
• Own the end-to-end Netflix Cloud developer experience across the SDLC, from discovery and configuration through deploy, operate, and debug

• Set the strategy: define and drive the product vision for programmatic, scaled ingestion by investing in solutions that reduce manual effort, enable differentiated distribution workflows, and accelerate time-to-launch across a range of content types.
• Own the products that make delivering media to Netflix effortless: unified direct delivery via ...

• Leadership & Team Development: Oversee a strong team of PMs, guiding them in setting and achieving ambitious goals. Actively coach, mentor, and grow the team, ensuring a collaborative, supportive, and high-performing environment.
• Product Strategy & Portfolio Ownership: Oversee the end-to-end plans strategy and experienc...

• Be at the forefront of using analytics and data engineering skills to ensure that advertising QoE data can be used effectively across the company.
• Act as the core steward of ads QoE, focusing on instrumentation, monitoring, understanding the user experience as it evolves within our product, and influencing best practices for producers and consumers.

• Implementing microservices to enable analytics, insights, discovery, and visualizations
• Designing orchestration to manage many thousands of globally distributed appliances and devices

• Deliver compute platform capabilities and drive adoption across Netflix with a focus on engineering excellence, decisive execution, a spirit of bold experimentation, and tight alignment with business context.
• You are an expert in building scalable and extensible compute platforms, and even better at wor...