Technical Program Manager, AI Data Organization
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Job description
Lila is building toward scientific superintelligence, which depends on a steady supply of high-quality, purpose-built AI data. Weāre looking for a Senior or Principal Technical Program Manager to join our AI Research team to drive multiple AI data generation and curation workstreams - standing up new project teams, keeping them on schedule, and incorporating that data into the model training pipeline.
You donāt need to be an ML researcher, but you must be genuinely curious about how AI data fuels model development and able to clearly articulate what your programs will deliver. The successful candidate thrives in ambiguity, communicates exceptionally well across audiences, and knows how to build clarity and momentum on a fast-paced, rapidly scaling team.
What Youāll Be Building
- Launch and operate cross-functional project teams that produce AI data for scientific superintelligence, ensuring each team executes with at high velocity and delivers standardized outputs the model training team can directly consume.
- Serve as the key communication interface between project teams and the research, science, and model training organizations; set up the organizational information flows that allow this communication to happen with speed at scale.
- Drive accountability across distributed, cross-functional 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 so model training receives consistent, high-quality inputs across all active project teams.
- 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
- Bachelorās or Masterās 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.
Bonus Points For
- Direct experience in AI/ML research or product organizations, ideally in a program management or research operations capacity.
- Working familiarity with model training data pipelines, dataset curation, or ML evaluation workflows - sufficient to engage credibly with researchers and ask good questions.
- 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., Analysis Skills, Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Best Practices, Biology, Candidate Sourcing, Communication Skills, Computer Science, Cross-Functional, Data Management, Data Modeling, Documentation, Emerging Technology, Equal Employment Opportunity (EEO), Functional Programming Languages, Leadership, Medicine, Operating Systems, Operations Research, Presentation/Verbal Skills, Problem Solving Skills, Project Tracking, Project/Program Management, Quality Assurance, Recruiting/Staffing Agency, Research Skills, Scientific Method, Scientific Research, Team Player, Technical Leadership, Time Management, Training Data Sets, Workflow Analysis, Writing Skills
Benefits & conditions
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including 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. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$224,000 - $336,000USD
About LILA
Lila Sciences is building Scientific Superintelligence to solve humankindās 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.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.careerbuilder.comGood distractions
Talks and stories from around this role ā technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
MLOps ā Whatās the deal behind it?
MLOps And AI Driven Development
What Are Large Language Models?
Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production