Responsibilities

• own go‑to‑market for Lila’s life science product portfolio.
• translate complex, closed‑loop AI + lab capabilities (e.g., mRNA design, DNA construct optimization, AI‑driven med chem) into clear, credible stories and commercial offerings for: Biopharma and advanced therapy companies; R&D and CMC leaders; Data science / AI teams and scientific IT.
• partner closely with Ryan and the LS Product team on 2026 priorities—such as RNA and DNA design tech tiles, hit‑to‑lead / lead optimization offerings, and early commercial pilots—to define positioning, launch plans, and evidence that move prospects from curiosity to committed programs.
• 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 (e.g., hit‑to‑lead, mRNA Tx 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 product capabilities: from beta / pilot framing through general availability and expansion.
• Partner with Product, Commercial, and BizOps to define offer constructs (e.g., pilot scopes, pricing guardrails, AISF access models) and the customer journey from first meeting to signed program.
• Map Lila’s roadmap milestones (e.g., new RNA/DNA or med‑chem capabilities, app workflows) into external launch moments aligned with events, PR, and sales cycles.
• Create technical and visionary content that makes our 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 LS Product, science, and commercial teams to turn pilots and tech tiles into case studies that show real impact (e.g., improved hit quality, faster lead optimization, better mRNA properties, reduced experimental cycles).
• Equip Commercial and Business Development with high‑impact tools: narrative decks, talk tracks, objection handling, competitive positioning, and ROI framing.
• Ensure our LS pitch evolves with each new capability (RNA/DNA, mRNA property optimization, AI‑driven med chem, AISF throughput), giving field teams crisp ways to explain “what Lila actually does” for a given customer type.
• Partner with Ryan and Commercial leadership to capture learnings from marquee meetings (Merck, J&J, etc.) and feed them back into content and positioning.

Requirements

• Education: Bachelor’s degree in Life Sciences, Bioengineering, Data Science, or related field; advanced degree (MS/PhD) a plus.
• Experience: 5+ years in Product Marketing or closely related role at a B2B SaaS, life sciences technology, or AI/ML company, ideally supporting discovery, translational, or CMC/R&D teams.
• Domain Expertise: Working knowledge of the life science value chain (discovery → preclinical → early development; RNA/DNA/protein or small‑molecule workflows).
• Familiarity with concepts like lab automation, assay platforms, FAIR data, and AI/ML in drug discovery or therapeutics.
• Technical Fluency: Comfortable engaging with AI scientists, bench scientists, and engineering/IT stakeholders; able to translate closed‑loop AI + AISF concepts into clear business value.
• Communication & Storytelling: Exceptional writing and presentation skills, with examples of content aimed at scientific and technical audiences.
• Cross‑Functional Collaboration: Proven success working across Product, Sales/BD, and Marketing; able to influence without formal authority.
• Startup Mindset: Thrives in a fast‑moving, highly cross‑functional environment where both the product and category are still being defined.