Senior Product Designer, Data Platform - Online Data Stores and Movement Platform
Netflix - USA - Remote
Posted Feb 24, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Product Designer, Data Platform - Online Data Stores and Movement Platform USA - 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 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
Read the full description at explore.jobs.netflix.net. FewerJobs shows a source-linked preview and links to the original posting.
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