Location: San Francisco, CA (Onsite)
Compensation: $150,000–$250,000
Visa Sponsorship: None available
Employment Type: Full-Time
Sieve is the only AI research company focused exclusively on video data infrastructure and video intelligence. Their thesis: video training data quality is one of the largest constraints in frontier AI model development. Sieve partners with frontier AI labs and Fortune 100 enterprise customers, operating exabyte-scale video infrastructure with a team of approximately 15. Series A backed by Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.
This is a founding operations and product role focused on building and scaling the core data operations that power AI systems. This is a high-ownership position working directly with leadership to define strategy, build processes, and scale infrastructure in a fast-moving, ambiguous environment. You will own projects end to end with full accountability for execution and outcomes.
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Own and execute core operational initiatives supporting engineering and product teams
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Build and scale data operations including sourcing strategies and partnerships with content providers
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Develop and manage human-in-the-loop workflows including workforce building and quality assurance processes
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Create scalable systems for data acquisition, validation, and delivery to support AI training needs
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Identify and implement new methods for sourcing high-quality datasets
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Work cross-functionally with engineering and leadership to translate business needs into operational systems
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Contribute directly to company strategy and long-term operational direction
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Operate in highly ambiguous environments — defining problems and building solutions independently
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Bachelor's degree in computer science
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Excellent general problem-solving skills
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Strong ownership mindset and ability to drive initiatives independently
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Comfort operating in undefined and fast-moving environments
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Ability to work onsite in San Francisco
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At least 1 year of engineering experience
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Experience in operations within AI or technical environments
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Experience as an early hire at a startup
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Ability to operate across technical and non-technical domains
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Purely non-technical backgrounds
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Candidates with no experience working with external partners or vendors
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Profiles lacking operations or product management experience
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Low-ownership candidates who cannot work independently
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Role is fully onsite in San Francisco — please only apply if you can commit to this
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No visa sponsorship available
Shortlisted candidates will be contacted by David Joseph & Co., the recruiting partner managing this search on behalf of Sieve.
