Head of Technical Program Management, Applied AI

Role overview Lead delivery across a portfolio of applied AI programs, including multilingual and multimodal training data, model evaluations, and benchmark work. The role combines hands-on operational ownership with building a technical program management function, developing its team, and ensuring customer commitments are met at scale.

Responsibilities - Own portfolio outcomes, including delivery schedules, quality targets, customer satisfaction, service levels, and margins. - Hire, coach, and grow technical program managers and project managers so they can run complex customer programs independently. - Plan staffing and capacity across changing demand, and produce reliable delivery forecasts. - Establish repeatable processes for intake, scoping, kickoff, quality control, reporting, and close-out; turn lessons into playbooks and dashboards. - Partner with key customers and research teams on program design, including benchmark development, and step in on escalations when needed. - Build quality controls for data and evaluation work, manage expert and vendor contributors, and coordinate with research, engineering, product, sales, and operations.

Requirements - 10+ years in delivery, operations, or program leadership, including 5+ years leading managers or multi-team organizations. - A record of owning large, customer-facing technical portfolios with responsibility for service levels, quality, delivery, and margin. - Experience building program functions and operating systems from the ground up, alongside a strong record of mentoring and developing people. - 5+ years managing teams in high-growth AI or enterprise technology environments. - Hands-on understanding of modern AI, including large language and multimodal models, data pipelines, and multilingual or multi-domain datasets; able to work credibly with researchers and engineers. - Strong executive communication and customer partnership skills; a relevant technical bachelor’s or master’s degree with 12+ years of industry experience, or a Ph.D. with 8+ years.

Nice to have Experience with AI or human data, language services, or frontier AI customers; leadership of distributed teams; familiarity with Python and program tools such as issue trackers or analytics systems; fluency in multiple languages.

Benefits and work setup The source describes competitive salary, equity, and benefits, plus opportunities for professional growth and work with emerging AI technology.