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Product Operations Lead

Sieve· Product
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San FranciscoFull-timePosted 7mo ago

About the role

Product Operations Lead responsible for day-to-day execution and scaling of Sieve's data operations platform, including workforce management, QA, partnerships growth, and product ops initiatives. Combines operational execution with semi-technical tooling, growth campaigns, and scalable processes to support frontier AI data workflows.

Responsibilities

  • Operate and scale Sieve's internal data ops platform, including workforce management, task assignment, and QA workflows
  • Drive platform and partnerships growth: run acquisition campaigns, test new sourcing channels, and grow the user base through creative and scalable strategies
  • Source, onboard, and manage a distributed human workforce for data annotation, curation, and quality review
  • Build and improve QA processes to ensure data output meets the standards required by frontier AI labs
  • Own product ops for the data platform. Work with engineering to ship tooling improvements, track operational metrics, and identify gaps
  • Create documentation, SOPs, and training materials for operational workflows

Qualifications

  • Mixed technical and non-technical skillset, comfortable with data tooling, light scripting, and spreadsheet-level analysis
  • Strong organizational skills and attention to detail; able to manage multiple concurrent work streams
  • Growth mindset: experience running or contributing to user acquisition, sourcing campaigns, or platform growth efforts
  • Bachelor's degree in CS, STEM, or equivalent practical experience
  • In-person at our SF HQ

Skills

Required:Data operationsGrowth / user acquisitionSourcing / vendor partnerships
Nice to have:Tooling / basic engineering collaboration

Benefits

  • 401k + Full Health Insurance
  • Breakfast, Lunch, and Dinner covered and your choice of snacks
  • Ubers covered home
Last updated Sep 9, 2026. Interested? Apply on the company site.
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About Sieve

Video datasets for frontier AI

High quality video data for AI applications.

Video GenerationHuman AvatarsWorld Models
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