Data Operations Lead

Sieve
San Francisco
Workplace: OnsiteFull timeUSD 130,000 - 250,000 annuallyFunction: Business OperationsExperience: 1+ yearsEducation: bachelorsSkills: ["Communication","Organization","Problem-solving","Leadership"]

Data Operations Lead role responsible for owning and scaling Sieve’s data operations platform, managing a distributed human workforce, and driving QA, onboarding, and product-ops improvements. You’ll run growth campaigns to expand user adoption, optimize sourcing channels, and partner with engineering to ship tooling and track operational metrics. This is a hands-on, semi-technical, in-person role at our SF HQ.

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FursaFursa
Sieve
Sieve
6 months ago

Data Operations Lead

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Source: Company careers pageValidated by: Fursa AI
Last checked: 36 minutes agoStatus: Live

Job Summary

Data Operations Lead role responsible for owning and scaling Sieve’s data operations platform, managing a distributed human workforce, and driving QA, onboarding, and product-ops improvements. You’ll run growth campaigns to expand user adoption, optimize sourcing channels, and partner with engineering to ship tooling and track operational metrics. This is a hands-on, semi-technical, in-person role at our SF HQ.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Business Operations

Key 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

Pay and Benefits

Salary: USD 130,000 - 250,000 annually
Perks:401kHealth Insurance

Key Requirements

  • •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
Experience:1+ yearsStartupAI
Education:Bachelor's in CS, STEM
Skills:CommunicationOrganizationProblem-solvingLeadership
Tech Stack:Data toolingScriptingQAML data pipelines

Eligibility

Visa:US citizen/visa only
Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Sieve
Provides a data observability and quality platform that monitors pipelines, detects anomalies, enforces data contracts, and surfaces lineage and reliability insights to help teams trust production data across warehouses and ETL systems.
Industry: Data Infrastructure
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Website