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Director Data Operations Lead Jobs in California

The Data Operations Lead will manage the execution and scaling of the company's data operations platform, overseeing workforce management, QA processes, and driving growth initiatives.

Data Operations Lead

San Francisco, CA · On-site

$160K - $240K/yr

Manage End-to-End Operations: Oversee the full lifecycle of data acquisition, ensuring datasets are ... Lead Labeling Teams: Direct both in-house and third-party labeling teams by setting guidelines ...

AI Data Operations Lead

Milpitas, CA · On-site

$145K - $205K/yr

We are looking for AI Data Operations Lead to lead and own the engineering of systems that turn embodied AI into real-world robot behavior. You will be the technical owner and lead for the full ...

AI Data Operations Lead

Milpitas, CA · On-site

$145K - $205K/yr

We are looking for AI Data Operations Lead to lead and own the engineering of systems that turn embodied AI into real-world robot behavior. You will be the technical owner and lead for the full ...

About the Role We're looking for a Lead of ML Data Operations to build and lead a new function at ... Demonstrated leadership at a director or equivalent level, with a track record of building teams or ...

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Infographic showing various Director Data Operations Lead job openings in California as of August 2026, with employment types broken down into 74% Full Time, 21% Part Time, 3% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Data Operations Lead

Sieve

San Francisco, CA • On-site

Full-time

Re-posted 20 days ago


Job description

Job Summary:
Sieve is an AI research lab focused on video data, aiming to solve the bottleneck in the growth of applications powered by high-quality training data. The Data Operations Lead will manage the execution and scaling of the company's data operations platform, overseeing workforce management, QA processes, and driving growth initiatives.
Responsibilities:
• Operate and scale Sieve's internal data ops platform, including workforce management, task assignment, and QA workflows
• Drive platform 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
Qualifications:
Required:
• 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
Preferred:
• 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
Company:
Sieve supplies video data to frontier AI labs. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.