Head of Technical Program Management, Applied AI

lilt-corporate; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Equity participation

Professional growth opportunities

Job summary

lilt-corporate seeks a seasoned leader to drive delivery across a portfolio of applied AI programs, including multilingual and multimodal data, model evaluations, and benchmarks. You will own the program management function, build the team, and ensure customer commitments are met at scale.

You will hire and mentor PMs to run complex customer programs, forecast capacity, and establish repeatable processes with dashboards and playbooks.

Qualifications

• 10+ years of delivery, operations, or program leadership experience.
• 5+ years leading managers or multi-team organizations.
• Proven track record owning large, customer-facing tech portfolios.
• 5+ years managing teams in AI or enterprise tech environments.
• Hands-on understanding of modern AI, data pipelines, multilingual data.
• Strong executive communication and customer partnership abilities.

Responsibilities

• Own portfolio outcomes: delivery schedules, quality targets, customer satisfaction, service levels, and margins.
• Hire, coach, and grow technical PMs and PMs to run complex customer programs.
• Plan staffing and capacity across demand and provide delivery forecasts.
• Establish repeatable intake, scoping, kickoff, quality control, reporting, and close-out; build playbooks and dashboards.
• Partner with customers and research teams on program design, benchmarks, and escalations.
• Build quality controls for data and evaluation work; coordinate with research, engineering, product, sales, and operations.

Skills

Delivery leadership

Program management

People development

AI domain knowledge

Executive communication

Customer relationship mgmt

Data pipelines understanding

Education

Bachelor's or Master's in a technical field

PhD in a technical field

Tools

Python

Issue trackers

Analytics systems

Project management tools

Job description

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.