Manager / Senior Manager, Product Marketing, Life Science Product
Indexed description
- Biopharma and advanced therapy companies
- R&D and CMC leaders
- Data science / AI teams and scientific IT
What You'll Be Building
Messaging & Positioning
- Define and continuously refine product narratives for Lila’s life science capabilities (RNA/mRNA design, DNA constructs, protein and small molecule optimization, AISF-powered workflows).
- Tailor messaging to specific personas (Heads of R&D, Therapeutic Area leaders, CMC, translational and bioinformatics leads, Scientific IT) and use cases (hit-to-lead, mRNA design, in vivo CAR-T data stories).
- Ensure all external materials reflect Lila’s master narrative on scientific superintelligence, safety, and multi-domain learning.
- Lead end-to-end GTM for new life science capabilities: from beta/pilot framing through general availability and expansion.
- Partner with Product, Commercial, and BizOps to define offer constructs (pilot scopes, pricing guardrails, AISF access models) and map the customer journey from first meeting to signed programs.
- Align roadmap milestones (new RNA/DNA or medicinal chemistry capabilities, app workflows) with external launch moments, events, PR, and sales cycles.
- Produce technical and visionary content that makes capabilities tangible:
- Use case briefs, technical one-pagers, solution guides
- Decks for customer pitches, partner discussions, and scientific meetings
- Blog posts, webinar scripts, demo narratives, and explainer videos in partnership with Brand/Creative
- Collaborate with Life Science (LS) Product, science, and commercial teams to turn pilots and tech tiles into case studies showing real impact
- Bachelor’s degree in Life Sciences, Bioengineering, Data Science, or a related field. MS/PhD a plus.
- 5+ years in Product Marketing or closely related roles at a B2B SaaS, life sciences technology, or AI/ML company, ideally supporting discovery, translational, or CMC/R&D teams.
- Working knowledge of the life science value chain (discovery → preclinical → early development; RNA/DNA/protein or small molecule workflows).
- Familiarity with lab automation, assay platforms, FAIR data principles, and AI/ML in drug discovery or therapeutics.
- Comfortable engaging with AI scientists, bench scientists, and engineering/IT stakeholders; able to translate closed-loop AI and AISF concepts into clear business value.
- Exceptional writing and presentation skills, with a track record of content targeting scientific and technical audiences.
- Proven success partnering across Product, Sales/BD, and Marketing; able to influence without formal authority.
- Thrives in a fast-moving, highly cross-functional environment where both the product and category are evolving.
- PHD is a plus
Expected Base Salary Range: $108,000 USD - $186,667 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We’re All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
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