Head of Technical Program Management (Applied AI)

Join LILT, a leading AI company, as the Head of Technical Program Management for Applied AI. In this role, you will drive project execution, customer outcomes, and delivery excellence across LILT's Applied AI practice. You will lead a high-performing team, manage a high-volume delivery organization, and ensure overall portfolio health and customer satisfaction. This is an operator's role that requires a builder and coach mindset, technical fluency, and a passion for AI.

- Drive and own all project execution, customer outcomes, and delivery excellence across LILT’s Applied AI practice. - Lead the people, operations, and systems behind every Applied AI engagement, ensuring each one ships on time, on budget, and to the highest quality bar. - Construct LILT’s technical program management capabilities from the ground up while actively developing, mentoring, and elevating a high-performing team.

- Builder & Coach Mindset: Proven track record of building technical program functions, processes, and systems from scratch, coupled with a deep dedication to coaching, mentoring, and growing talent - 0-to-1 & Scale Experience: Demonstrated ability to build operating systems in high-velocity startup environments and scale them to support high-throughput, mission-critical operations where quality control is paramount - Frontier AI Expertise: Deep, hands-on understanding of the modern AI landscape—including LLMs, multimodal models, training/inference pipelines, and complex dataset diversity (multilingual and multi-domain). Hands-on experience delivering AI training data, human data, LLM evaluation, annotation, or localization programs at scale, with distributed contributor or vendor workforces - People Management & Leadership: 5+ years of direct people management experience building and scaling TPM, Product, or Engineering teams within high-growth AI or enterprise tech environments - Accountable Mindset & Ownership: Proven track record as the final owner of large-scale, mission-critical technical portfolios, with direct accountability for project delivery, customer outcomes, and SLA adherence. Demonstrated experience architecting mitigations for AI-specific operational risks (e.g., dataset contamination, domain drift, quality decay, and SLA vulnerabilities) - Experience: 10+ years in delivery, operations, or program leadership, including 5+ years managing managers or multi-team delivery organizations.Proven ownership of a large, customer-facing delivery portfolio with accountability for SLAs, quality, and margin - Contemporary Industry Acumen: Working knowledge of the modern AI landscape (LLMs, multimodal models, training and evaluation pipelines) to partner credibly with researchers and engineers - Executive Stakeholder Management: Excellent business acumen, executive presence, and communication style with experience building high-trust partnerships with top-tier AI labs, customers, and enterprise executive teams - Strong Data Fluency: comfortable using SQL, spreadsheets, or BI tools to run the business on metrics such as throughput, quality, cost per task, and utilization - Education: B.S. or M.S. in Computer Science, AI, or a related technical field with 12+ years of industry experience (or Ph.D. with 8+ years) - Experience at an AI data, human data, or language services company, or delivering for frontier AI labs - Experience leading globally distributed teams across time zones - Fluency in multiple human languages - Familiarity with Python and modern program tooling (e.g., Linear, Jira, custom analytics) to automate reporting and workflows