Research & Product Lead

Company: Sieve
Location: San Francisco CA (HQ in person 5 days per week)
Compensation: $150000 - $250000 equity
Employment Type: Full-time

Sieve works with frontier AI labs and enterprise customers on highly specific dataset problems focusing on video audio and multimodal data for AI training and evaluation. It is a Y Combinator (W22) company founded in 2022 and backed by investors including Matrix Partners Swift Ventures and AI Grant.

Sieve is hiring a Research & Product Lead: a high-leverage generalist who pairs deep technical fluency with strong relationship skills. You will manage Sieves most important customer accounts at the most technically demanding organizations in the world drive cross-functional execution and build the systems that let the company scale operating as a peer to the engineers and researchers you work with. Sieve is open to a senior track (existing AI-lab relationships or a human-data company background) and a generalist track (1-2 years out of top consulting banking or an AI-company APM role with an engineering degree).

• Build and manage relationships with frontier AI labs and highly technical customers.
• Translate customer needs into product and research priorities.
• Drive execution across research product operations and partnerships.
• Find operational bottlenecks and implement scalable systems.
• Lead technical conversations about datasets model performance infrastructure and AI workflows.
• Support high-priority strategic initiatives across the company.

• Bachelors degree in computer science or an equivalent technical degree
• A strong understanding of ML and AI workflows especially data pipelines and model training
• Enough technical depth to hold substantive conversations with frontier-lab engineers and researchers
• Excellent written and verbal communication with senior technical stakeholders
• High curiosity high EQ and scrappiness in a fast-moving startup
• Ability to work in person at the San Francisco HQ 5 days a week

• Existing relationships at AI labs (senior track)
• Experience at a human data company such as Scale Surge Mercor Snorkel or similar (senior track)
• 1-2 years at MBB top consulting banking or as an APM at an AI company with an engineering degree (generalist track)
• Video media or content background

REVENUE: 17.5% of first-year salary. Est. fee per hire $26K-$44K; 1 seat(s).

TARGET COMPANIES (client (human-data companies named)): Scale AI Surge AI Mercor Snorkel AI Invisible Technologies McKinsey/BCG/Bain (generalist track).

BEST-FIT CANDIDATE: 1-2 (generalist) or senior operator yrs; CS/technical degree; ML data-pipeline fluency; high EQ; visa: unknown - confirm; location: SF 5 days.