Technical Program Manager, AI Data

About the role

The Senior or Principal Technical Program Manager will lead cross-functional project teams in generating and curating AI data for Lila's scientific superintelligence initiative. This role involves setting up new project teams, ensuring they deliver high-quality outputs, and communicating effectively with various stakeholders.

Responsibilities

• Launch and operate cross-functional project teams focused on AI data generation and curation.
• Set up organizational information flows to facilitate communication between project teams and research, science, and model training organizations.
• Drive accountability across distributed teams without relying on direct authority; build consensus through clear communication and sound judgment.
• Define and enforce data delivery standards, QA gates, and handoff protocols to ensure consistent, high-quality inputs for model training.
• Implement best practices for rapid experimentation and iteration, enabling new project teams to ramp efficiently as additional data initiatives come online.
• Develop clear documentation and reporting to communicate vision, track progress, and align project team work with broader AI Research priorities; represent program status and risks accurately even when the picture is uncertain or evolving.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Life Sciences, or a related field.
• 8+ years of program or project management experience in the technology or life sciences field.
• Proven experience leading cross-functional programs and driving them to successful completion under tight delivery timelines.
• Strong analytical and problem-solving skills, with the ability to turn technical and data requirements into actionable program roadmaps.
• Exceptional written and verbal communication skills; track record of producing executive-quality documents, roadmaps, and updates that drive decisions.

Qualifications

• Direct experience in AI/ML research or product organizations, ideally in a program management or research operations capacity.
• Experience managing programs that produce standardized outputs for downstream technical consumers (e.g., model training, eval, or platform teams).
• Enthusiastic about emerging technologies and experienced in driving rapid experimentation and program iteration.

Skills

• Strong leadership and interpersonal skills.
• Ability to manage ambiguity and prioritize tasks effectively.
• Excellent communication and stakeholder management skills.
• Experience with model training data pipelines, dataset curation, or ML evaluation workflows.

Benefits

Competitive base compensation with bonus potential and generous early-stage equity. U.S. benefits include medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company-wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office-based employees; and a company-subsidized lunch program. International benefits are tailored to the region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market. Expected Base Salary Range: $224,000 USD - $336,000 USD.

Pay

USD salary ranges apply only to U.S.-based positions; international salaries are set to local market. Expected Base Salary Range: $224,000 USD - $336,000 USD.

Schedule

Full-time position.

Company Overview

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, Lila builds systems that can learn for themselves. Lila combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

About Lila Sciences

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.

Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.