OperationsOn-site

Product Operations Lead

Sieve · On-site

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Last seen by MeritLog September 12, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Sieve's Ashby job board and last checked it on September 12, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: On-site
Salary: Not listed by source
Location: San Francisco
Company website: matrix.vc

Hiring context

How this role compares at Sieve

Sieve has 10 live roles in MeritLog’s catalog across 5 job families, and 1 of them is in operations. 7 of those listings publish a pay range, a disclosure rate of 70%.

Sieve concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd 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

What they're asking for

Mixed technical and non-technical skillset, comfortable with data tooling, light scripting, and spreadsheet-level analysisSkill
Strong organizational skills and attention to detail; able to manage multiple concurrent work streamsSkill
Growth mindset: experience running or contributing to user acquisition, sourcing campaigns, or platform growth effortsSkill
Bachelor's degree in CS, STEM, or equivalent practical experienceEducation
In-person at our SF HQSkill
Experience managing human-in-the-loop data operations or annotation pipelinesSkillPreferred
At least 1 year of engineering experience or strong technical fluencyExperiencePreferred
Experience as an early hire at a startup or spearheading ops at an AI labSkillPreferred
Familiarity with data quality frameworks or ML data pipelinesSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

ABOUT US Sieve is a multi-modal lab curating the world's highest-quality training datasets - spanning video, audio, images, text, and 3D. We combine exabyte-scale data infrastructure and novel multimodal understanding techniques that push the frontier of foundation models. Video alone makes up 80% of internet traffic, and across modalities, data has become the enabling medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in the growth of these applications: high-quality training data. We partner with top AI labs and did $XXM last quarter alone, as a team of ~30 people. We also raised our Series A from Tier 1 firms such as Matrix Partners https://matrix.vc/, Swift Ventures https://www.swift.vc/, Y Combinator https://www.ycombinator.com/, and AI Grant https://aigrant.com/. WHY NOW Sieve is one of the most capital-efficient teams in AI - roughly 30 people serving the world's leading AI labs across every major data modality. You'll join early, own problems end-to-end, and watch your work ship directly into the models defining the frontier. ABOUT THE ROLE As Product Operations Lead, you'll own the day-to-day execution and scaling of Sieve's data operations platform alongside vendor partnerships. This is a deeply operational and semi-technical role. You'll manage our human workforce, build and improve QA processes, handle people sourcing and onboarding, and drive product ops initiatives that make our platform more efficient. A major part of this role is growth: you'll run campaigns and experiments to expand the platform's user base, find new channels for sourcing, and drive adoption. This role is ideal for someone who is both a builder and an optimizer, someone who can get their hands dirty with tooling while also thinking strategically about how to scale a complex operational machine. 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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