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Lila Sciences

AI-powered scientific discovery for medicines

Associate Director / Director - Customer Program Management, Physical Sciences

Program ManagementConfirmed live in the last 24 hours
Full-timeCambridge, MA, USAIn-person

About the Job

Requirements

  • A graduate degree (MS, PhD, or equivalent experience) in a physical science or technical discipline (materials science, chemistry, chemical or mechanical engineering, physics, AI/ML research, or a related field), with enough grounding to engage credibly with scientific and technical stakeholders.
  • 8+ years of experience in a technical or scientific industry, with 5+ years in program management, delivery, or a similar cross-functional coordination role carrying direct responsibility for timelines, resourcing, and tracking.
  • Demonstrated experience as the primary customer-facing owner of a relationship.
  • Sound judgment about customer relationship health over time, including knowing when to push, absorb, or escalate and how to deliver hard news in a way that strengthens rather than erodes trust.
  • A track record of agency in driving execution across complex, multidisciplinary programs with significant technical and commercial stakes.
  • Outstanding communication skills, with the ability to distill complex technical and operational information for diverse audiences, from working scientists to executive leadership to customers.
  • Proven ability to influence without authority and drive alignment across cross-functional teams.
  • Demonstrated ability to thrive and build amid ambiguity and rapid growth, create structure where little exists, and turn one-off solutions into repeatable processes.

Responsibilities

  • Serve as the primary contact and trusted operational interface for the customer, owning the health and trajectory of the relationship over time.
  • Translate complex internal program status into clear, structured communication for the customer, surfacing and steering milestones, risks, and decisions.
  • Run steering committees and milestone reviews, manage deliverable handoffs, and handle difficult conversations about delays, quality incidents, and scope changes to sustain trust.
  • Identify and shape opportunities to grow the customer engagement, partnering with business development and product to bring them to life.
  • Own end-to-end delivery across multiple concurrent projects under a single partnership, including timelines, resourcing, milestone tracking, dependencies, and risk management.
  • Promote a high-performance team environment through operational rigor across the program, coaching the wider team toward practices that outlast any one person.
  • Coordinate a cross-functional team of teams with different technical languages, keeping everyone aligned on shared objectives and clear on priorities and decision points.
  • Structure and run effective program meetings, decision forums, and reporting so the right information reaches the right people at the right time.
  • Exercise judgment across customer needs, technical constraints, resourcing, and risk; recommend a path forward and reconsider the approach when appropriate.
  • Help build the operating model for customer delivery, including scalable processes, templates, tooling, and best practices that extend beyond the program.
  • Define operational excellence and delivery success for the function, including metrics and key performance indicators worth tracking.
  • Contribute to the founding team of delivery leaders by sharing hard-won lessons, investing in peers' success, and building shared infrastructure that lifts the whole function.

Desired Qualifications

  • Experience at or partnering with AI-native, platform-based, or otherwise technically sophisticated science or technology companies.
  • Deep familiarity with research and development workflows, including experimental iteration, instrumentation and characterization, data quality, and scale-up, across materials, formulations, energy, semiconductors, or related domains.
  • Experience managing external collaborations or partnerships in a discovery or research and development, or technical-delivery setting.
  • Familiarity with project management methods and tools, such as critical path analysis, scenario planning, resource modeling, and portfolio reporting.
  • Experience with large language models and a point of view on how artificial intelligence and automation are changing how technical work gets delivered.

About the Company

Lila Sciences

AI-powered scientific discovery for medicines

Lila.ai uses artificial intelligence to speed up scientific discovery in medicines and advanced materials. The system ingests large sets of scientific data, experimental results, and literature to identify patterns, generate hypotheses, and guide research programs. It differentiates itself by tackling deep scientific problems at scale and combining AI with domain expertise, rather than offering generic tools. The goal is to help humanity by delivering new medicines and materials that solve major biological and materials challenges through data-driven discovery.

Company size
501-1,000
Company stage
Series A
Total funding
$550M
Headquarters
Cambridge, MA
Founded
2024

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