Manager / Senior Manager, Product Marketing, Life Science

Lila Sciences; Cambridge (MA); On-site; USD 108,000 - 186,667; Full time

Benefits offered by this job

Equity

Competitive benefits

Job summary

Lila Sciences is seeking a Strategic Product Marketing Manager (Life Science) to own go-to-market for its life science portfolio. You will translate complex AI and lab capabilities—RNA/mRNA design, DNA constructs, and medicinal chemistry—into credible stories and compelling offerings for biopharma, R&D, and data science teams.

You will craft messaging, launch plans, and evidence strategies, build technical content, and collaborate across product, sales, and customer success to accelerate

Qualifications

• 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 or life sciences company.
• Working knowledge of the life science value chain from discovery to early development.
• Familiarity with lab automation, assay platforms, and AI/ML in drug discovery.
• Exceptional writing and presentation skills for scientific/technical audiences.

Responsibilities

• Define and refine product narratives for RNA/mRNA design, DNA constructs, and AISF-powered workflows.
• Lead end-to-end GTM for new life science capabilities and map the customer journey.
• Create technical content: use case briefs, one-pagers, decks, blogs, and webinar scripts.
• Collaborate across Product, Sales/BD, and Marketing to drive pilots to signed programs.

Skills

Product marketing

B2B SaaS

Life sciences

Storytelling

Cross-functional leadership

Startup mindset

Education

Bachelor’s degree in Life Sciences or related

MS/PhD a plus

Job description

Your Impact at LILA

We Are Seeking a Strategic Product Marketing Manager (Life Science) To Own Go-to-market For Lila’s Life Science Product Portfolio. You’ll Translate Complex, Closed-loop AI And Lab Capabilities—such As MRNA Design, DNA Construct Optimization, And AI-driven Medicinal Chemistry—into Clear, Credible Stories And Compelling Commercial Offerings For

• Biopharma and advanced therapy companies
• R&D and CMC leaders
• Data science / AI teams and scientific IT

In collaboration with the Life Science Product team, you will shape RNA and DNA design technology tiles, hit-to-lead and lead optimization offerings, and early commercial pilots. Your work will define positioning, launch plans, and evidence strategies that move prospects from curiosity to committed programs. You’ll articulate value, build differentiated narratives, and enable cross-functional execution across product, sales, and customer success to accelerate adoption and drive measurable business impact.

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.

Go-To-Market Strategy & Launch

• 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.

Content & Evidence Creation

• 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

What You’ll Need To Succeed

Education

• Bachelor’s degree in Life Sciences, Bioengineering, Data Science, or a related field. MS/PhD a plus.

Experience

• 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.

Domain Expertise

• 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.

Technical Fluency

• Comfortable engaging with AI scientists, bench scientists, and engineering/IT stakeholders; able to translate closed-loop AI and AISF concepts into clear business value.

Communication & Storytelling

• Exceptional writing and presentation skills, with a track record of content targeting scientific and technical audiences.

Cross-Functional Collaboration

• Proven success partnering 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 evolving.

Bonus Points For

• PHD is a plus

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.

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.