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 Senior Product Designer to shape the next generation of data movement (pipelines/jobs) and online data store (ODS) experiences at Netflix. You’ll help software engineers, data engineers, analytics engineers, and ML engineers—and on‑call owners—move from change intent to reliable outcomes: configure and validate pipelines, observe and troubleshoot runs, evolve schemas safely, make ODS operations self‑serve and safe (e.g., capacity/index changes with guardrails), and set up automatic syncing between ODS and analytics, in addition to streamlining the customer experience across ODS and Data Movement products.

You will focus on end‑to‑end workflows such as:

• Administering and evolving online data stores, self‑serve: safe capacity and index/schema changes with guardrails; paved paths for common maintenance

• Operator and launch experiences for online data stores: privileged updates with approvals/audit; provisioning, discovery, and adoption of new stores (e.g., search); read‑safe data exploration and verification to confirm data appears as expected after creation or fixes (e.g., sample/lookup).

• Designing and running pipelines and data flows: authoring and review, scheduling, handling retries/backoffs and backfills, managing runs with clear dependency views (directed acyclic graphs, DAGs), and supporting batch/streaming movement including change data capture (CDC)/replication and automatic syncing

• Diagnosing and fixing issues faster: pipeline health at a glance; freshness, lag, throughput, and error signals; guided triage that links runs, logs, metrics, lineage, config diffs, and data samples

Your work will reduce cognitive load, build trust, and speed safe change—for example, making pipeline setup and validation straightforward, surfacing actionable run signals, and previewing the impact of schema changes before they ship. You design for coherence across UI, CLI/IDE, and APIs with one mental model, and apply pragmatic AI‑assistance (incident summaries, natural‑language filters, config‑diff explanations). 

If you’re passionate about solving complex, technical design problems in data infrastructure—and want your work to directly influence how Netflix ships reliable, data‑powered experiences at scale—we’d love to talk to you.

What You Will Do

Design Vision and Strategy

• Shape and own design for ODS and movement platform; creating intuitive workflows that enhance data practitioner and software engineer productivity and delight

• Contribute to and help drive adoption of patterns and components for operational, data‑dense UIs (runs, pipelines, lineage, diffs) that scale across the platform

• Identify opportunities for innovation through research, incident analysis, and technical insight; sequence delivery for measurable impact

• Create cohesive, end‑to‑end experiences with guardrails over gates (paved paths, templates, defaults) to reduce errors

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

• Anticipate emerging needs and help frame design problems early

Design Leadership and Execution

• Drive end‑to‑end design for interdependent workflows

• Craft and validate prototypes that effectively communicate solutions

• Establish scalable design practices and foundational patterns

• Scope and negotiate realistic deliverables wit