Staff Product Designer, Data Platform - Analytics & Data Experience [Remote]
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 dataâdriven 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, endâtoâend 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 selfâserve 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)
⢠AIâassisted 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, systemâwide 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 systemâlevel 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., Gitâbased / dbt-style project patterns with tests, documentation, CI, and preâcommit validation) and empathy for codeâfirst 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 reportâbuilder UX with strong defaults and appropriate constraints
⢠Strength in designing dataâdense, systemâoriented 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, AIâassist in analytics) and evolving UX accordingly
⢠Applied AI/MLâenhanced 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 Coun
[more...]
Note: Posting is subject to change so please refer to career site for latest availability (SBJ-G337).
Apply Now
Apply Now
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 dataâdriven 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, endâtoâend 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 selfâserve 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)
⢠AIâassisted 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, systemâwide 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 systemâlevel 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., Gitâbased / dbt-style project patterns with tests, documentation, CI, and preâcommit validation) and empathy for codeâfirst 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 reportâbuilder UX with strong defaults and appropriate constraints
⢠Strength in designing dataâdense, systemâoriented 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, AIâassist in analytics) and evolving UX accordingly
⢠Applied AI/MLâenhanced 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 Coun
[more...]
Note: Posting is subject to change so please refer to career site for latest availability (SBJ-G337).
Apply Now
Apply Now