Hiring: Product Operations Lead Company: Sieve Location: San Francisco, CA Job Posted Time: 2026-09-11 17:57:30 Employment Type: Full-time Target Skills & Keywords: Product Operations, Data Operations, Workforce Management, QA Processes, Growth & User Acquisition, Vendor Partnerships, Data Annotation, Human-in-the-Loop, Data Quality Frameworks, ML Data Pipelines, SOPs & Documentation, Light Scripting, Spreadsheet Analysis, Multimodal Data Experience: - Experience running or contributing to user acquisition, sourcing campaigns, or platform growth efforts - Nice to have: Experience managing human-in-the-loop data operations or annotation pipelines - Nice to have: At least 1 year of engineering experience or strong technical fluency - Nice to have: Experience as an early hire at a startup or spearheading ops at an AI lab Required Skills: - 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 with experience in user acquisition, sourcing campaigns, or platform growth - Ability to operate and scale an internal data ops platform, including workforce management, task assignment, and QA workflows - Ability to source, onboard, and manage a distributed human workforce for data annotation, curation, and quality review - Ability to build and improve QA processes ensuring data output meets frontier AI lab standards - Ability to own product ops for the data platform, work with engineering to ship tooling improvements, track operational metrics, and identify gaps - Ability to create documentation, SOPs, and training materials for operational workflows Qualifications: - Bachelor's degree in CS, STEM, or equivalent practical experience - In-person at SF HQ - Nice to have: Familiarity with data quality frameworks or ML data pipelines Compensation: - 401k + Full Health Insurance - Breakfast, Lunch, and Dinner covered and your choice of snacks - Ubers covered home Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!