L

Lila Sciences

AI-powered scientific discovery for medicines

Director, Product Marketing - Life Sciences

Product MarketingConfirmed live in the last 24 hours
Full-timeCambridge, MA, USAIn-person

About the Job

Requirements

  • At least 10 years of product marketing experience, including portfolio-level ownership at a technical company.
  • A track record of launching complex scientific or artificial intelligence products to biopharma and research and development buyers.
  • Working knowledge of the life science value chain, from discovery through early development.
  • Ability to translate artificial intelligence and lab automation concepts into credible commercial narratives.
  • Exceptional writing, with examples aimed at scientific and executive audiences.
  • Proven ability to influence Product, Commercial, and Brand without formal authority.
  • Experience supporting or leading sales motions into top 20 pharma accounts.

Responsibilities

  • Own go-to-market strategy for the full life science product portfolio.
  • Define positioning for RNA, DNA, protein, and small molecule capabilities.
  • Lead launches end to end, from pilot framing through general availability and expansion.
  • Build offer constructs with Product and Commercial, including pilot scopes and access models.
  • Turn pilots into case studies that show measurable scientific impact.
  • Equip Commercial and Business Development with narrative decks, talk tracks, and competitive positioning.
  • Synthesize customer and competitive signal into prioritization recommendations for Product.

Desired Qualifications

  • Experience marketing lab automation, assay platforms, or artificial intelligence-driven discovery tools.
  • Familiarity with CMC, translational, or bioinformatics buying processes.
  • Early-stage experience where the category and product are still being defined.

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

Recently Posted Jobs

Explore more opportunities at Lila Sciences

See more jobs