Data Operations Lead - Fast-Paced Startup (SF On-site)

Metis, Inc.; San Francisco (CA); On-site; USD 80,000 - 450,000; Full time

Benefits offered by this job

Full medical, dental, and vision

Wellness & L&D stipend

Unlimited Doordash (breakfast, lunch,

Housing stipend

Job summary

Metis is seeking a hands-on Operations & Data Ops professional to own daily execution across core workflows in a fast-paced environment. You will run QA checks, refine processes, and surface bottlenecks to leadership, while building playbooks and lightweight dashboards that improve throughput and quality.

You will partner with technical and product teams to streamline workflows and help scale the function as the company grows, supporting onboarding and continual process improvement.

Qualifications

• 0–3 years of experience in high-growth startups, consulting, or operations roles.
• Exposure to data-driven workflows (data ops, labeling, evaluation, support, or similar)
• Strong attention to detail; you don’t let things slip
• Excellent organizational and project management skills
• Comfortable in high-intensity, fast-changing environments

Responsibilities

• Own daily execution across key data and operations workflows
• Run QA checks, refine processes, and flag bottlenecks or risks
• Build and maintain playbooks, trackers, and lightweight dashboards
• Partner with technical and product teams to streamline workflows
• Track throughput, quality, cost, and timeliness; surface insights for leadership
• Support team leads in scaling processes and onboarding new teammates

Skills

Attention to detail

Organizational skills

Project management

Adaptability

Job description

Metis is seeking a hands-on Operations & Data Ops professional to own daily execution across core workflows in a fast-paced environment. You will run QA checks, refine processes, and surface bottlenecks to leadership, while building playbooks and lightweight dashboards that improve throughput and quality.

You will partner with technical and product teams to streamline workflows and help scale the function as the company grows, supporting onboarding and continual process improvement.