Sieve is the only AI research lab exclusively focused on video data. We combine exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital 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’ve partnered with top AI labs and did $XXM last quarter alone, as a team of just 15 people. We also raised our Series A last year from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.
About the Role
As a Product Engineer at Sieve, you'll build our video collection platform: a system that pays contributors for submitting video recordings.
You'll work full-stack across frontend, backend, systems, and mobile to ship products quickly, improve reliability, and scale the platform in supporting millions of users. You'll also build internal tools that help the team source, review, and deliver high-quality data efficiently. You'll own projects end-to-end.
This role is ideal for someone who enjoys building products with tight feedback loops, thrives in a high-ownership environment, and wants to work directly on the core engine powering frontier video AI.
What You’ll Do
Build and scale a production product used by contributors, partners, and internal teams.
Ship full stack features across frontend, backend APIs, and underlying systems.
Ship mobile features that enable easy video capture and submission.
Improve reliability, performance, and developer velocity across the platform.
Build internal tools and workflows that make operations, QA, and delivery fast and consistent.
Work closely with customers and operators to translate needs into product and ship iteratively.
Requirements
Strong full stack engineer who can take projects from idea to production.
Strong TypeScript + modern frontend experience (React/Next.js preferred).
Mobile experience in React Native, especially for media capture or upload flows.
Backend experience in Python or Go, with solid API and database fundamentals.
Comfort working across product and systems concerns (reliability, performance, observability).
Clear communicator who works well with cross-functional stakeholders.
High ownership and urgency, including willingness to work late nights and weekends when needed.
In-person at our SF HQ
Bonus
Experience as an early hire at a startup.
History of shipping high-quality products with real users.
Experience building simple tooling, including minimal internal APIs and Svelte dashboards
Active GitHub or portfolio projects.
Benefits
401k + Full Health Insurance
Breakfast, Lunch, and Dinner covered and your choice of snacks
Ubers covered home
What We Do
Sieve is the only AI research lab exclusively focused on video data. Video already makes up 80% of internet traffic and has become the dominant medium driving creativity, communication, gaming, AR/VR, and robotics. Unlocking the ability to truly model video is the key to breakthroughs across all of these domains but progress has been bottlenecked by one thing: high-quality training data. That’s where Sieve comes in. We bring together exabyte-scale video infrastructure, novel video understanding techniques, and dozens of diverse data sources to create datasets that push the frontier of video modeling. This unique combination allows us to deliver data with unmatched precision, quality, and speed which has earned the trust of frontier AI labs, Fortune 100 companies, and fast-growing generative AI startups.
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