Founding Operations Lead
About Us
Sieve is the only AI research lab exclusively focused on video data. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. We believe the ability to model video will be the key unlock to the future growth of these applications and as new use cases emerge, high-quality training data becomes the bottleneck. This is where Sieve comes in.
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. This combination allows us to develop datasets at a level of precision, quality, speed, and cost that has gained the trust of frontier AI labs, Fortune 100 companies, and fast-growing gen AI startups.
We've scaled from 0 to $XXM in revenue in the last 3 months with a relatively small team of 11 people, growing 25% month over month. We’re a Series A company and have raised from top-tier firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.
About the Role
As a the first operations hire at Sieve, you’ll work on a variety of initiatives to build and scale our data operations. This includes building out our human workforce, scaling human QA processes, forging data partnerships with content owners, and more — all to service the needs of our engineering team and our customers. You’ll have ownership over these projects end-to-end and will play a critical role in shaping Sieve’s long term strategy.
This role is ideal for someone who has a mixed technical and non-technical skillset and thrives in working through highly undefined settings and tasks.
Requirements
Excellent general problem solving skills
Bonus: At least 1 year of engineering experience
Bonus: Experience spearheading operations work at an AI lab
Bonus: Experience as an early hire at a startup
In-person at our SF HQ
Average salary estimate
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