Product Operations Lead
San Francisco — In-Person
$150K–$250K Base + Equity
Full-Time
H-1B / OPT Sponsorship Available
About the Company
Sieve is the multimodal data lab for frontier AI. They build the custom algorithms, pipelines, and annotation infrastructure that power the world's most advanced AI models — across video, audio, image, and interaction data. Their work ships directly into the models defining the industry. Customers include leading AI labs, Fortune 100 companies, and the fastest-growing AI startups.
The team is capital-efficient, scrappy, and ~25 people — small by design, moving fast, and operating at the frontier of a problem that defines whether the next wave of AI progress happens at all.
~25
Team size — lean and deliberate
2022
Founded — still early, still building
Frontier
AI labs trust Sieve's data
About the Role
This is a scrappy, high-ownership role at the center of Sieve's data operations platform. You'll own the execution and scaling of the systems that make frontier AI training data possible: the human workforce, QA processes, vendor partnerships, and the platform growth engine that keeps it all running.
You'll work directly with engineering to ship tooling improvements, run acquisition campaigns to expand the user base, and build workflows from scratch without a playbook. This role reports directly to the founding team.
What You'll Own
1
Data Ops Platform
Operate and scale workforce management, task assignment, and QA workflows end-to-end.
2
Platform Growth
Run acquisition campaigns, test new sourcing channels, and expand the user base through creative, scalable strategies.
3
Distributed Workforce
Source, onboard, and manage a distributed human workforce for data annotation, curation, and quality review.
4
QA Processes
Build and improve quality assurance frameworks to meet the standards required by frontier AI labs.
5
Engineering Collaboration
Work directly with eng to ship tooling improvements, track operational metrics, and close gaps.
6
Documentation & SOPs
Create the operational playbook — training materials, process docs, and workflow guides — from scratch.
Who Fits
Strong Signal
Experience managing human-in-the-loop annotation or data ops pipelines
1+ year of engineering or strong ML data pipeline fluency
Early hire at a startup — you've built things from 0
Ops leadership at an AI lab or data infrastructure company
Track record running platform growth or user acquisition
Requirements
Mixed technical + non-technical skillset — comfortable with data tooling, light scripting, spreadsheet analysis
1–5 years in a scrappy startup environment
Strong organizational skills managing multiple concurrent workstreams
BS in CS, STEM, or equivalent practical experience
In-person at Sieve's SF HQ — no exceptions
What Sieve Offers
Compensation
$150K–$250K base salary + competitive equity. Visa sponsorship available (H-1B, OPT).
Food & Daily Life
Breakfast, lunch, and dinner covered. Choice of snacks. Ubers home covered.
Health & Retirement
Full health insurance coverage. 401k plan.
Impact
Ownership over the data engine powering frontier AI. Direct access to the founding team.
Interview Process
1
Initial Screen
30 min with Shwetha at Inference Search Partners
2
Intro Chat with Chief of Staff
Ishan Dhawan — operational thinking, process building, communication
3
Chat with CEO
Mokshith Voodarla — mission alignment, technical instincts, pace
4
Onsite
Full team — likely includes a working session on a data ops or platform growth problem
Interested? Let's talk.
Schedule a 15-min intro call with Shwetha at Inference Search Partners.
Schedule a Call
