Lead Gen AI Analyst

Were 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. Were 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 youll 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 teamsand youre excited about working on cutting-edge Generative AI initiativesthis role is for you.

What Youll 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 Were 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.