Vice President, Head of Marketing

Lila Sciences Lila Sciences · AI Frontier · One Charles Park, Cambridge, MA · Business Operations

This role is for a Vice President/Head of Marketing at Lila Sciences, a company focused on AI for science. The primary responsibility is to drive commercial growth, strategic partnerships, and adoption of the company's AI platform. The role involves building demand generation engines, account-based marketing, enabling partner go-to-market motions, developing segment-specific positioning, creating sales enablement materials, and producing content to support revenue and credibility. Success is measured by pipeline contribution, partner-driven opportunities, and improved credibility with enterprise scientific buyers. The role requires 10+ years of B2B marketing experience in high-consideration enterprise or technical markets, with a track record of driving pipeline and revenue outcomes, and strong instincts for complex technical products.

What you'd actually do

  1. Build and run an integrated demand engine targeting senior scientific and business buyers (R&D leadership, innovation executives, technical decision-makers).
  2. Create go-to-market motions with partners that generate qualified introductions and joint opportunities.
  3. Translate LILA’s technical platform into clear, differentiated value propositions for priority verticals.
  4. Develop high-leverage content (technical briefs, case studies, webinars, white papers, executive narratives).

Skills

Required

  • 10+ years in B2B marketing
  • senior leadership experience in high-consideration enterprise or technical markets
  • Track record of driving pipeline and revenue outcomes (demand gen, ABM, field marketing, partner marketing)
  • Strong product/segment marketing instincts for complex technical products (AI, deep tech, SaaS, biotech, industrial tech)
  • Ability to work fluently with technical teams and translate technical truth into buyer-relevant value
  • Experience building functions and operating systems from early stage to scale
  • Strong analytical and operational discipline
  • Collaborative leadership style with a high degree of ownership

Nice to have

  • Experience in vendor/partner ecosystems
  • Experience scaling marketing in AI-for-science contexts
  • Background in academic or research-domain communications
  • Experience with PhD communities

What the JD emphasized

  • Track record of driving pipeline and revenue outcomes
  • Ability to work fluently with technical teams and translate technical truth into buyer-relevant value
  • Experience building functions and operating systems from early stage to scale