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Lead Data Operations Specialist

SieveSan Francisco
On-site Full-time

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Experience Level

Manager

Qualifications

Qualifications:Proven experience in data operations, project management, or a related field. Strong analytical and problem-solving skills, with a focus on operational efficiency. Experience managing teams and leading projects in a dynamic environment. Excellent communication and interpersonal skills. Familiarity with video data processing or AI technologies is a plus.

About the job

About Us

Sieve is an innovative AI research laboratory dedicated exclusively to video data. We leverage exabyte-scale video infrastructure and cutting-edge video understanding techniques to create expansive datasets that advance the field of video modeling. With video comprising 80% of internet traffic, it has become a crucial digital medium that drives creativity, communication, gaming, AR/VR, and robotics. Sieve exists to address the critical challenge of providing high-quality training data, which is essential for the growth of these applications.

As a testament to our success, we have partnered with leading AI labs and achieved significant revenue growth, generating $XX million last quarter with a compact team of just 15 professionals. Our Series A funding last year was secured from top-tier firms including Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.

About the Role

In your role as the Data Operations Lead, you will be responsible for the daily execution and expansion of Sieve's data operations platform. This position is a blend of operational and semi-technical responsibilities. You will oversee our human workforce, enhance quality assurance processes, manage talent sourcing and onboarding, and spearhead product operations initiatives aimed at optimizing our platform's efficiency. A key focus of this role will be on growth; you will implement campaigns and experiments to broaden the platform's user base, identify new sourcing channels, and drive user adoption. This position is ideal for individuals who are both creators and optimizers—capable of engaging deeply with tools while also strategically considering how to scale complex operational systems.

What You'll Do

  • Oversee and scale Sieve's internal data operations platform, which includes workforce management, task assignments, and quality assurance workflows.

  • Drive growth initiatives for the platform by executing acquisition campaigns, testing new sourcing channels, and creatively expanding the user base.

  • Recruit, onboard, and manage a distributed human workforce dedicated to data annotation, curation, and quality review processes.

  • Develop and enhance quality assurance processes to guarantee that data outputs align with the standards required by leading AI laboratories.

  • Lead product operations for the data platform by collaborating with engineering teams to implement tooling improvements, track operational metrics, and identify inefficiencies.

  • Create comprehensive documentation, standard operating procedures, and training materials to support the operational framework.

About Sieve

Sieve is at the forefront of video data research, utilizing advanced technologies to create valuable datasets that fuel innovation in AI applications. Our commitment to quality and efficiency positions us as a leader in the industry, enabling rapid advancements in video modeling and analysis.

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