Data Operations Lead: Scale the Data Platform & Growth

Sieve; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

401k + Full Health Insurance

Breakfast, Lunch, and Dinner covered

Ubers covered home

Job summary

A cutting-edge AI research lab is seeking a Data Operations Lead to manage and scale its data operations platform in San Francisco. The role involves running acquisition campaigns, managing a distributed workforce, and driving product operations. Candidates should possess a mixed skill set of technical and non-technical abilities, with a Bachelor's degree in a relevant field. This position offers an opportunity to work with innovative data initiatives and enhance operational efficiency.

Qualifications

• Comfortable with data tooling, light scripting, and spreadsheet-level analysis.
• Able to manage multiple concurrent work streams.
• Experience running or contributing to user acquisition or platform growth efforts.

Responsibilities

• Operate and scale Sieve's internal data ops platform.
• Run acquisition campaigns and grow user base.
• Manage a distributed workforce for data annotation and quality review.
• Build and improve QA processes.
• Drive product ops for the data platform.
• Create documentation and training materials.

Skills

Mixed technical and non-technical skillset

Strong organizational skills

Growth mindset

Education

Bachelor's degree in CS, STEM, or equivalent

Tools

Data tooling

Spreadsheet analysis

Job description

A cutting-edge AI research lab is seeking a Data Operations Lead to manage and scale its data operations platform in San Francisco. The role involves running acquisition campaigns, managing a distributed workforce, and driving product operations. Candidates should possess a mixed skill set of technical and non-technical abilities, with a Bachelor's degree in a relevant field. This position offers an opportunity to work with innovative data initiatives and enhance operational efficiency.