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We're looking for an experienced Lead Generative AI Analyst to join our team. This leadership role is open to both hybrid and remote candidates, with a preference for those who can work in a hybrid capacity from our Santa Clara, CA office. We're looking for someone who enjoys coordinating people, solving operational challenges, and delivering high-quality results in a fast-paced AI environment.

Rather than focusing on individual annotation work, you'll lead the day-to-day execution of AI data operations, partnering with annotators, quality teams, and cross-functional stakeholders to ensure projects are delivered efficiently, consistently, and at the highest quality standards.

If you have a strong background in project management, operations, or leading production teams-and you're excited about working on cutting-edge Generative AI initiatives-this role is for you.

What You'll Do

• Lead the day-to-day operations of a team of multimodal AI annotators and reviewers.
• Provide people leadership, including coaching, performance management, workload planning, and team development.
• Drive project execution by balancing quality, delivery timelines, and operational priorities.
• Own client-facing meetings, providing project updates, discussing risks, action plans, and delivery progress.
• Serve as the primary point of contact for workflow questions, issue resolution, and project escalations.
• Monitor team performance, quality metrics, productivity, and project health, identifying opportunities for continuous improvement.
• Develop and refine annotation guidelines, documentation, and quality standards as projects evolve.
• Coordinate calibration sessions and quality reviews to ensure consistent decision-making across the team.
• Partner with cross-functional stakeholders, including Quality, Operations, Product, and Engineering teams, to resolve complex cases and improve workflows.
• Support onboarding, coaching, and ongoing development of new team members.
• Identify operational risks early and proactively drive solutions to keep projects on track.
• Prepare regular reports on project status, quality trends, and key operational metrics.

What We're Looking For

• 5+ years of experience in AI data operations, data annotation, content quality, Trust & Safety, data labeling, or similar production environments.
• 3+ years of experience leading teams and managing projects, with ownership of delivery, quality, and operational outcomes.
• Demonstrated experience managing personnel, priorities, and multiple workstreams simultaneously.
• Experience leading client meetings and communicating project status to internal and external stakeholders.
• Strong stakeholder management and communication skills.
• Excellent written and verbal English.
• Exceptional organizational skills with the ability to prioritize in a fast-moving environment.
• Experience creating documentation, operational processes, or quality guidelines.
• Comfortable making decisions in ambiguous situations while maintaining consistency and accuracy.

Preferred Qualifications

• Experience leading AI, machine learning, or multimodal annotation programs.
• Experience managing QA operations, calibration sessions, audits, and quality improvement initiatives.
• Familiarity with annotation tools and AI data workflows.
• Experience working with Product, Engineering, Research, or Vendor Management teams.
• Knowledge of reporting, dashboards, workflow optimization, or process improvement.
• Basic Python, SQL, or data analysis skills are a plus.