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Lila Sciences

AI-powered scientific discovery for medicines

Lab Platform Engineering Director

Engineering LeadershipPosted on Nov 10
Full-timeIn-person

About the Job

Requirements

  • At least 15 years of software or infrastructure engineering experience and at least 8 years leading teams, including managing managers or tech leads, or equivalent practical experience.
  • A track record of building and scaling a platform or infrastructure organization from a small team upward.
  • Deep technical grounding in hybrid on-premises and cloud infrastructure, including Kubernetes operated at scale outside the public cloud.
  • Experience operating production fleets against explicit reliability targets, with ownership of on-call and incident practice.
  • Experience owning infrastructure budgets, capacity planning, and vendor negotiation.
  • Proven cross-functional and executive partnership, including communicating technical tradeoffs to non-engineering leaders.
  • Demonstrated ability to hire and develop senior- and principal-level engineers.

Responsibilities

  • Build and lead a team of 10 to 15 engineers, including managers and tech leads; hire, develop, and retain engineers at every level.
  • Set multi-year technical vision and strategy for hybrid edge and cloud infrastructure across distributed lab sites.
  • Own the platform roadmap and delivery, shipping on a predictable cadence against commitments made to partner teams.
  • Own fleet operations and reliability, including service levels, on-call, and incident response across sites.
  • Own the infrastructure budget, capacity planning, and vendor relationships.
  • Partner cross-functionally with robotics, lab operations, research, and security, and communicate platform strategy and tradeoffs to executives.
  • Raise the engineering bar through standards, review practices, and technical thought leadership.

Desired Qualifications

  • Experience with laboratory automation, robotics, or hardware-adjacent platforms, or lab software for life sciences or materials science.
  • Experience with multi-site operations, intermittently connected environments, or over-the-air software rollout.
  • Experience with identity and secrets management across hybrid environments, or operating in regulated or audited settings.
  • Experience with infrastructure-as-code, GitOps, developer experience as a product, or AI-assisted engineering workflows adopted across a team.
  • Experience standing up a new function, integrating acquired or transferred teams, or managing a team split across offices and remote.

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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