Your Impact at LILA
Lila Sciences is hiring a Director, Product Marketing, Life Sciences to own go-to-market for our life science product portfolio. You will set positioning and launch strategy for closed-loop AI and autonomous lab capabilities, including mRNA design, DNA construct optimization, and AI-driven medicinal chemistry.
The audience is senior and technical: biopharma and advanced therapy companies, R&D and CMC leaders, data science teams, and scientific IT. Your job is to make complex science legible and commercially compelling, then build the evidence that moves prospects from curiosity to committed programs.
You will work as an individual contributor embedded with the LS Product team, partnering closely with Commercial, Business Development, and Brand. Success looks like a coherent portfolio narrative, a real plan behind every major capability launch, and a field team equipped to sell.
What You'll Be Building
- 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 BD with narrative decks, talk tracks, and competitive positioning
- Synthesize customer and competitive signal into prioritization recommendations for Product
What You'll Need to Succeed
- 10+ years in product marketing, including portfolio-level ownership at a technical company
- Track record launching complex scientific or AI products to biopharma and R&D buyers
- Working knowledge of the life science value chain, discovery through early development
- Ability to translate AI and lab automation concepts into credible commercial narratives
- Exceptional writing, with examples aimed at scientific and executive audiences
- Proven influence across Product, Commercial, and Brand without formal authority
- Experience supporting or leading sales motions into top 20 pharma accounts
Bonus Points For
- Advanced degree in life sciences, bioengineering, or a related field
- Experience marketing lab automation, assay platforms, or AI-driven discovery tools
- Familiarity with CMC, translational, or bioinformatics buying processes
- Early-stage experience where the category and product are still being defined
Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
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.
Skills Required
- 10+ years of experience in product marketing, including portfolio-level ownership at a technical company
- Track record launching complex scientific or AI products to biopharma and R&D buyers
- Working knowledge of the life science value chain from discovery through early development
- Ability to translate AI and lab automation concepts into credible commercial narratives
- Exceptional writing skills, including examples for scientific and executive audiences
- Proven ability to influence Product, Commercial, and Brand teams without formal authority
- Experience supporting or leading sales motions into top 20 pharmaceutical accounts
- Advanced degree in life sciences, bioengineering, or a related field
- Experience marketing lab automation, assay platforms, or AI-driven discovery tools
- Familiarity with CMC, translational, or bioinformatics buying processes
- Early-stage experience defining an emerging category and product
What We Do
Lila is a technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method.
