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.

The Netflix Infrastructure Engineering organization drives business growth and innovation through a robust platform essential to Netflix’s scale and operations. Our Data Platform supports the full data lifecycle—from online data stores and movement to analytics—enabling data practitioners to build and use reliable datasets and insights with speed and confidence. It powers data‑driven decisions at global scale, letting teams focus on what truly matters: helping Netflix entertain the world.

The Opportunity

We’re seeking a Staff Product Designer to shape the future of analytics and data experiences at Netflix. You’ll design intuitive, end‑to‑end workflows that help data and analytics engineers go from intent to trusted insight fast—reducing cognitive load, removing toil, and making the right path the easy path.

You’ll create coherent journeys across discovery, development and orchestration, semantic and metrics modeling, and analysis and reporting—unifying experience among analytics tools and integrations, with minimal context switching and a consistent mental model. You’ll make relationships and dependencies intuitive (e.g., lineage across tables, models, metrics, and reports) and ground this work in observability and governance, so practitioners can trust what they build and use. Your work will help practitioners move faster with confidence, so they can focus on insight and impact.

Working closely with product managers and engineers, you'll shape critical initiatives including:

• Semantic and metrics modeling for governed, consistent self‑serve analytics

• Analysis experiences spanning the semantic layer and BI/reporting tools, with strong defaults and guidance

• Unified navigation and discovery across Analytics Portal, Data Portal, and related tools

• Seamless continuity across UI, IDE/CLI, and APIs (consistent mental models and transitions across surfaces)

• Observability and troubleshooting for data pipelines and analytics workflows (e.g., job health, data freshness/quality, debugging)

• AI‑assisted exploration, insights, and visualization (e.g., conversational queries, guided analysis)

This role lets you shape our design practices and define the future of analytics and data experiences at one of the world’s most innovative companies. If you're looking for a deeply technical and highly dynamic role that will transform how Netflix creates and uses trusted insights at scale, we'd love to talk to you!

What You Will Do

Design Vision and Strategy:

• Lead design strategy for analytics and data experiences that span multiple teams, creating intuitive workflows that enhance practitioner productivity

• Define, evolve, and drive adoption of design patterns and components that scale across the platform

• Identify opportunities for innovation through user research and technical insight

• Create cohesive, end-to-end experiences that reduce cognitive load

• Partner with product and engineering to define and improve how we measure practitioner experiences

• Anticipate emerging needs and help frame design problems early

Design Leadership and Execution

• Drive end-to-end design for interdependent data workflows (development, modeling, orchestration, analysis, troubleshooting), and influence cross-functional roadmaps

• Craft and validate prototypes that effectively communicate solutions

• Establish scalable design practices and foundational patterns

• Scope and negotiate realistic deliverables with partners

• Mentor designers and partner teams; help grow shared understanding and adoption of effective design practices

Cross-functional Collaboration

• Partner with, influence, and co-create long-term strategy with product and engineering leadership to drive critical data platform initiatives

• Facilitate design workshops and creative sessions with technical stakeholders and build consensus on complex strategic direction

• Articulate compelling design visions and build durable alignment with senior leadership, connecting technical challenges to business outcomes

• Build strong relationships across platform teams

• Lead through influence across teams to create coherent, system‑wide experiences and align on shared goals

What We’re Looking For

If you’re excited about this role but don’t meet every single requirement, we encourage you to apply. We value potential, transferable experience, and a learning mindset.

Essential Experience and Skills

• 8 years as a Product Designer (or equivalent experience)

• Experience designing analytics/data platform tools, developer/data tools, or analogous complex technical products

• Strong portfolio showing system‑level product work and the impact of your design leadership, including initiatives that span multiple teams

• Proven track record of leading design initiatives from concept to launch

• Proficient in design tools (Figma, etc.) and prototyping technologies

• Strong systems thinking and ability to design scalable solutions for complex data/analytics challenges

Leadership and Collaboration

• Successfully led design strategy for complex technical products

• Proven track record of influencing and aligning cross-functional partners without direct authority

• Ability to navigate ambiguity, create clarity, and move complex initiatives forward with partners

• Excellence in communicating design decisions to technical audiences

• Demonstrated success in mentoring designers and improving team practices

• Strong ability to work autonomously and drive initiatives independently

• Skill in sequencing and communicating long-term vision through incremental steps

• Ability to collaborate effectively with engineers (coding skills not required)

Technical Understanding

• Literacy in analytics and data engineering workflows (e.g., Git‑based / dbt-style project patterns with tests, documentation, CI, and pre‑commit validation) and empathy for code‑first users in IDE/CLI

• Fluency in semantic and metrics modeling and headless BI/semantic layer patterns; understanding of metric definition, reuse, and governance

• Ability to integrate governed metrics into BI/reporting tools and design report‑builder UX with strong defaults and appropriate constraints

• Strength in designing data‑dense, system‑oriented interfaces (e.g., lineage graphs, dependencies, metric lifecycle) with embedded trust signals (freshness, test status, ownership, change history)

• Understanding of permissions/entitlements, data contracts, and compliance constraints and their UX implications

• Experience identifying emerging shifts (e.g., semantic layer/metrics ecosystems, AI‑assist in analytics) and evolving UX accordingly

• Applied AI/ML‑enhanced experiences a plus (e.g., conversational queries, guided analysis)

Values

• Continuous learner passionate about design excellence and culture

• Self-motivated and autonomous

• Mature approach to giving and receiving feedback

• Collaborative and ego-free in technical discussions

• Comfortable with ambiguity and driving clarity

More About Infrastructure Engineering Netflix

• **MIT CODE 2024 Practitioners Panel:** Design & User Experience Perspectives (video)

• [Netflix’s Distributed Counter Abstraction](https: //netflixtechblog.com/netflixs-distributed-counter-abstraction-8d0c45eb66b2) (techblog)

• [Unifying the Netflix engineering experience with a federated platform console](https: //2022.platformcon.com/talk/unifying-the-netflix-engineering-experience-with-a-federated-platform-console) (video)

• [Incremental Processing using Netflix Maestro and Apache Iceberg](https: //netflixtechblog.com/incremental-processing-using-netflix-maestro-and-apache-iceberg-b8ba072ddeeb) (techblog)

• [Lessons from designing Netflix’s experimentation platform](https: //youtu.be/uK-Nf12Qtw8) (video)

• [Full Cycle Developers at Netflix -- Operate What You Build](https: //netflixtechblog.com/full-cycle-developers-at-netflix-a08c31f83249) (techblog)

• [Netflix Data Engineering Summit](https: //netflixtechblog.com/a-recap-of-the-data-engineering-open-forum-at-netflix-6b4d4410b88f) (techblog)

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.