Head of Engagement Management (GenAI)

TL;DR

Head of Engagement Management (GenAI): Leading strategic customer engagement and account growth for frontier AI research organizations with an accent on human-data programs, operational delivery, and cross-functional commercial planning. Focus on developing Engagement Managers, translating complex ML research needs into executable programs, and expanding high-value B2B accounts.

Location: San Francisco, CA; New York, NY; Seattle

Salary: $224,800–$281,000 USD base salary, plus potential equity and benefits.

Company

hirify.global develops high-quality data products and full-stack technologies that support reliable AI systems and AI applications for enterprises, governments, and leading research organizations.

What you will do

• Lead, hire, coach, and develop Engagement Managers supporting strategic GenAI lab accounts.
• Own account retention, expansion, demand generation, and commercial growth against revenue targets.
• Build trusted relationships with AI researchers and operations leaders throughout the project lifecycle.
• Translate ambiguous research requirements into well-defined human-data programs with ML, engineering, and operations teams.
• Coordinate GTM, finance, ML, and Delivery Operations teams to resolve tradeoffs and maintain customer quality and throughput.
• Establish processes and best practices for scaling the Engagement Management function.

Requirements

• 6+ years in technical product or program management, customer success, consulting, or a related customer-facing B2B role.
• Demonstrated ownership of account growth, relationship development, and commercial expansion.
• 2+ years of experience managing, hiring, developing, and retaining teams.
• Technical foundation in computer science, engineering, economics, statistics, or another STEM field, with a strong understanding of the ML training lifecycle.
• Hands-on experience with data or AI/ML models through engineering, research, technical product work, or engagement management.
• Action-oriented approach combining creative problem-solving with reliable execution.

Nice to have

• Graduate degree or research experience in a STEM field.
• Experience at a frontier AI lab, foundational-model company, or high-growth AI company.
• Experience scaling a customer-facing or delivery function, including processes, tooling, or team structures.

Culture & Benefits

• Inclusive and equal-opportunity workplace focused on bringing diverse perspectives to work.
• Comprehensive health, dental, and vision coverage.
• Retirement benefits, learning and development stipend, and generous paid time off.
• Potential equity compensation and commuter stipend for eligible roles.
• Reasonable accommodations are available throughout the application and recruiting process.

Hiring process

• Compensation and role level are determined during the interview process based on location, skills, experience, qualifications, and interview performance.
• Candidates must wait 90 days before being reconsidered for the same role after an application decision.