Sieve — Product Operations Lead

• →Bachelor's degree in CS, STEM, or equivalent practical experience
• →The 1–5 years is framed as "in a scrappy startup environment, ideally in ops, GTM, data, or a technical adjacent role"

• Operate and scale internal data ops platform including workforce management and QA workflows
• Drive platform and partnerships growth through acquisition campaigns and sourcing channels
• Source, onboard, and manage distributed human workforce for data annotation and curation
• Build and improve QA processes for frontier AI lab standards
• Own product ops for data platform and work with engineering on tooling improvements
• Create documentation, SOPs, and training materials for operational workflows
• Mixed technical and non-technical skillset with comfort in data tooling and light scripting
• Strong organizational skills and attention to detail managing multiple concurrent work streams
• 1 to 5 years experience, startup environment preferred
• SF in-person, full-time

• Experience managing human-in-the-loop data operations or annotation pipelines
• At least 1 year of engineering experience or strong technical fluency
• Early hire experience at startup or ops leadership at AI lab
• Familiarity with data quality frameworks or ML data pipelines
• Data space background a strong plus

• No technical grounding whatsoever
• Strategy-only profile with no hands-on execution
• No startup exposure

• Salary — $150,000–$250,000
• Equity — Competitive equity
• On-site policy — In-person at Sieve's SF headquarters
• Visa sponsorship — H-1B, OPT
• Employment type — Full-time
• Location — San Francisco, CA
• Experience — 1–5 years

1. LinkedIn URL
2. Where are you currently based?
3. Are you willing to relocate to San Francisco? If you already live here, please click yes.
4. Will you require sponsorship to work in the United States now or in the future?
5. If so, please describe your current visa status.
6. What is the hardest operational project you've worked on?

Stage 1 — Pending Approval — Candidates awaiting initial approval. Stage 2 — Initial Screen — Initial screen. Stage 3 — Intro Chat with the Chief of Staff — Intro conversation with the Chief of Staff. Stage 4 — Chat with CEO — Conversation with the CEO. Stage 5 — Onsite — On-site interview. Stage 6 — Offer Extended Stage 7 — Candidate Hired — Candidate accepts and starts.