Data Operations Lead: Scale Platform & Growth

Sieve; California (MO); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

401k + Full Health Insurance

Meals covered

Ubers covered home

Job summary

Sieve is seeking a Data Operations Lead to manage and scale their data operations platform. In this dynamic role, you will oversee workforce management and operational performance while handling product operations initiatives. The ideal candidate blends operational expertise with strategic thinking to drive user acquisition and manage complex workflows.

Qualifications include a Bachelor's degree in CS or STEM, strong organizational skills, and comfortable with data tools. Benefits include full health insurance and covered meals.

Qualifications

• Strong organizational skills and attention to detail, able to manage multiple concurrent work streams.
• Mixed technical and non-technical skillset, comfortable with data tooling, light scripting, and spreadsheet-level analysis.
• Growth mindset: experience running or contributing to user acquisition, sourcing campaigns, or platform growth efforts.

Responsibilities

• Operate and scale Sieve's internal data ops platform and manage workforce.
• Drive platform growth: run acquisition campaigns and test new sourcing channels.
• Source, onboard, and manage a distributed human workforce.
• Build and improve QA processes to ensure high data standards.
• Own product ops for the data platform and identify operational gaps.

Skills

Organizational skills

Data tooling comfort

Scripting

Spreadsheet analysis

Growth mindset

Education

Bachelor's degree in CS, STEM, or equivalent experience

Job description

Sieve is seeking a Data Operations Lead to manage and scale their data operations platform. In this dynamic role, you will oversee workforce management and operational performance while handling product operations initiatives. The ideal candidate blends operational expertise with strategic thinking to drive user acquisition and manage complex workflows.

Qualifications include a Bachelor's degree in CS or STEM, strong organizational skills, and comfortable with data tools. Benefits include full health insurance and covered meals.