Technical Program Manager, AI Data

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified not verified - source not recorded; timestamp not recorded

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

150% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Technical Program Manager, AI Data Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA Lila is building toward scientific superintelligence, which depends on a steady supply of high-quality, purpose-built AI data. We're 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 don't 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 You'll 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

Read the full description at job-boards.greenhouse.io. FewerJobs shows a source-linked preview and links to the original posting.