# Partnerships & Operations Lead

**Company:** [Sieve](https://hotfix.jobs/companies/sieve)
**Location:** San Francisco, CA
**Role:** Partnerships
**Skills:** Data Tooling, Light Scripting, Spreadsheet Analysis, Qa Processes, User Acquisition, Sourcing Campaigns, Workforce Management, Operational Metrics, Data Annotation, Ml Data Pipelines
**Posted:** 2026-03-11

> Owns execution and scaling of data operations platform, managing workforce, QA processes, partnerships growth, and product ops initiatives. Requires mixed technical skills, organizational strength, growth mindset, and bachelor's in CS/STEM.

## Job Description

## What You'll Do
- 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

## Requirements
- 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

## Nice to Have
- Experience managing human-in-the-loop data operations or annotation pipelines
- At least 1 year of engineering experience or strong technical fluency
- Experience as an early hire at a startup or spearheading ops at an AI lab
- Familiarity with data quality frameworks or ML data pipelines

## Benefits
- 401k + Full Health Insurance
- Breakfast, Lunch, and Dinner covered and your choice of snacks
- Ubers covered home

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**Apply:** https://hotfix.jobs/jobs/1f8c3f2d-06fe-4920-a912-841b101f6087
**Canonical:** https://hotfix.jobs/jobs/1f8c3f2d-06fe-4920-a912-841b101f6087