Industrial Partnerships & Data Ops Lead

Sieve; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

401(k) and full health insurance

Breakfast, lunch, and dinner covered,+

Ubers covered home

Job summary

Sieve in San Francisco is seeking an operations-focused role to bridge industrial partnerships with hands-on data ops. You’ll open doors into factories, manage a distributed workforce, and ensure QA and platform work yield reliable multimodal data for frontier labs.

Strong candidates combine relationship-building with data-literate thinking, comfortable with ambiguity, and experience in manufacturing, robotics, or PE ops. In-person work at our SF HQ required.

Qualifications

• Direct relationships into factories, manufacturing, or adjacent industrial environments.
• Mixed technical and non-technical skillset; comfortable with data tooling and basic scripting.
• Strong organizational skills and attention to detail; able to manage multiple workflows.
• Growth mindset with experience in user acquisition, sourcing campaigns, or platform growth.
• Bachelor’s in CS, STEM or equivalent practical experience; in-person at SF HQ.

Responsibilities

• Open industrial access: identify, pitch, and close partnerships with factories and operators; navigate security and compliance.
• Operate the data ops platform: manage workforce, QA workflows, and SOPs to maintain data quality.
• Grow supply and partnerships: source and onboard a distributed workforce for annotation and review.
• Own product ops with engineering: ship tooling improvements and track operational metrics.
• Turn one-offs into systems: document playbooks for repeatable partner wins across sites.

Skills

Relationship building

Organizational skills

Growth mindset

Ambiguity tolerance

Communication

Education

Bachelor’s in CS, STEM

Tools

Data tooling

Light scripting

Spreadsheet analysis

Job description

Sieve in San Francisco is seeking an operations-focused role to bridge industrial partnerships with hands-on data ops. You’ll open doors into factories, manage a distributed workforce, and ensure QA and platform work yield reliable multimodal data for frontier labs.

Strong candidates combine relationship-building with data-literate thinking, comfortable with ambiguity, and experience in manufacturing, robotics, or PE ops. In-person work at our SF HQ required.