Your Impact at LILAYou will sit at the center of the AI Platform team's programs and serve as the connective tissue between platform engineering, AI research, vendor partners, and the Lila teams that depend on us. You will drive multi-quarter programs across compute, storage, utilization, support, and evaluation infrastructure, and you must be genuinely curious about how the platform works, being able to clearly articulate what each program is trying to 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- Drive the compute fleet scale-up program: coordinate fleet management upgrades, consolidate governance policies into an actionable framework, and partner teams and leadership to keep governance and capacity-sharing on track.
- Lead the unified storage strategy balancing cost, compliance, and researcher workflows; design training and adoption campaigns and stand up a feedback loop from researchers.
- Build a systematic cluster utilization program: define the metrics framework, align requirements for observability tooling, engage with teams running under-utilizing workloads, and shape targeted interventions across platform, libraries, training, and documentation.
- Own the ML software platform vendor partnership: manage the vendor relationship, ensure the team extracts full value from vendor engineers, and define metrics that demonstrate return on the investment.
- Stand up a data-driven researcher support and user experience program: establish visibility into ticket volume, resolution time, and categories; execute on UX improvements; and develop proactive insights into how researchers use the cluster.
- Define and build the eval leaderboard program: gather requirements from researchers and stakeholders, shape the leaderboard and dashboard system, and ensure researchers have the guidance to use it effectively.
- Maintain structured working relationships with partner teams across Lila; identify, log, and track the cross-team programs that emerge from those collaborations.
What You'll Need to Succeed- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- 8+ years of program or project management experience in technology, infrastructure, or platform engineering organizations.
- Proven experience leading multi-workstream platform or infrastructure programs to successful completion across distributed teams.
- Strong analytical and problem-solving skills, with the ability to turn technical and operational requirements into actionable roadmaps and metrics.
- Track record of driving accountability without direct authority across engineering, research, and vendor stakeholders.
- 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, infrastructure, or platform organizations, ideally driving programs that serve researcher or engineering users.
- Working familiarity with compute infrastructure, storage architecture, cluster utilization, or observability tooling, sufficient to engage credibly with platform engineers.
- Experience managing strategic vendor relationships and measuring return on partnership investments.
- Experience standing up support, UX, or user-feedback programs in technical environments.
CompensationWe 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
$192,000-$306,000 USD
