Sr Manager, Annotation Ops Integration, GO-AI

Key job responsibilities

• Define and execute the strategy for GO-AI's central operations capabilities, ensuring quality, capacity, and people development functions operate as a unified, scalable system
• Deliver annual operational efficiency targets through kaizen, process automation, and workforce utilization improvements
• Translate variable customer demand into reliable capacity plans that balance cost, quality, and delivery speed
• Convert program-specific operational patterns into standardized service offerings that scale across the portfolio
• Own the associate lifecycle from onboarding through upskilling, ensuring workforce readiness keeps pace with new program launches and evolving AI model requirements
• Lead tool strategy for workforce planning and capacity management, driving adoption of platforms that replace manual processes
• Represent operations in cross-functional forums with engineering, science, and product leadership
• Lead and develop a geographically distributed team across the United States, India, and Costa Rica, ensuring alignment and operational consistency across time zones

Basic Qualifications

• 10+ years of technical product or program management experience
• 6+ years of team management experience
• Experience owning/driving roadmap strategy and definition
• Experience with feature delivery and tradeoffs of a product
• Bachelor's degree
• Experience in capacity planning, operations planning, business analysis or equivalent
• Experience working cross-functionally across several teams both technical and non-technical

Preferred Qualifications

• Experience delivering consumer software products and services in a high growth environment
• Experience in a fast-paced, automated, industrial, logistics, production or manufacturing environment
• Experience in operations planning for AI/ML data production, annotation, or expert workforce operations
• Track record converting bespoke operational solutions into standardized, repeatable service offerings
• Experience driving AI adoption or process automation within an operations organization
• Familiarity with make/buy decisions for operational software tools (WFM, scheduling, planning platforms)