# Operations Lead > Raydar · San Francisco, United States · Full-time · Posted 2026-10-01 **Salary:** USD 150,000–250,000 **Workplace:** on_site ## Description About the company Our client is a technology company. The role Raydar is recruiting for this role on behalf of our client. Lead hands-on operations for an internal platform that relies on a distributed contract workforce, combining process execution with growth responsibilities. The role involves designing workflows from the ground up and working closely with engineers to refine internal tools. It suits an early-career, technically minded operator who is comfortable moving quickly without an established playbook. What you'll do \- Manage the daily running and expansion of an internal operations platform and the people who use it. \- Plan outreach efforts and experiment with new ways to find and attract contributors to the platform. \- Recruit, onboard and oversee a distributed contract workforce performing data labeling, curation and review. \- Design and refine quality assurance processes so deliverables meet exacting customer standards. \- Collaborate with engineers on tool enhancements, monitor key operational indicators and flag process gaps. \- Write documentation, standard operating procedures and training materials for operational workflows. ## Requirements What we're looking for \- A blend of technical and non-technical skills, including comfort with data tools, light scripting and spreadsheet analysis. \- 1 to 5 years of experience in a fast-moving startup, ideally in operations, go-to-market, data or a related technical role. \- A track record contributing to outreach, recruiting or growth initiatives aimed at building a user community. \- Strong organization and attention to detail, with the ability to juggle several workstreams at once. \- A bachelor's degree in computer science or another STEM field, or equivalent practical experience. \- Willingness to work on-site in San Francisco. Bonus points \- Experience managing data labeling pipelines or data operations with human review. \- At least 1 year of engineering experience or strong fluency with data pipelines or machine learning tooling. \- Early-hire startup experience or an operations leadership role at an AI organization. \- Familiarity with data quality frameworks. ## Benefits Compensation and benefits \- Base salary: USD 150,000 to 250,000 per year \- Equity \- Health insurance \- Retirement plan Location and work model \- San Francisco, CA, United States \- On-site \- Full-time ## Apply [Apply at Raydar](https://apply.workable.com/raydar/j/8B9FEDE1D9/apply) --- Powered by [Workable](https://www.workable.com)