Your Impact at LILA
We are seeking a Product Marketing Manager, Physical Sciences to lead go-to-market for Lila’s AI-driven materials and chemistry platform. You will operate at the convergence of:
- Physical science domains: catalysts, sorbents, coatings, LNPs, quantum and extreme-environment materials
- Autonomous experimentation: flow chemistry ecosystems, high-throughput electrocatalysis, advanced characterization workcells
- AI & modeling: property prediction, design spaces, Bayesian optimization, LLM-augmented optimization
Your mission is to translate this tech stack into clear narratives, compelling launches, and credible evidence that resonate with:
- Industrial R&D and technology leaders in energy, chemicals, and manufacturing
- Sustainability and advanced materials teams
- Strategic partners, national labs, and federal programs
What You'll Be Building
Go-To-Market Strategy & Launch
- Define and execute GTM plans for new physical science capabilities (e.g., catalyst discovery campaigns, LNP property prediction, flow-reactor–based optimization, sorbents and coatings workflows), translating technical milestones into compelling market moments with clear offers, timelines, and success metrics.
- Translate PS product milestones (new AISF demos, CLUE campaign results, partner-ready vignettes) into launch-ready packages, including positioning, messaging, collateral, and enablement assets.
- Align launches with priority commercial motions in physical sciences (Accelerated By Lila, Lila Superscientists, joint development, and agentic science offerings) to maximize adoption and impact.
Messaging & Positioning
- Craft crisp, value-based messaging that communicates how Lila’s platform accelerates:
- Catalyst and materials discovery for green hydrogen and electrochemistry
- LNP design and advanced materials development for transport and separations
- Coatings, sorbents, and quantum/extreme-environment materials discovery
- Tailor narratives for R&D executives, technical experts, and corporate innovation/sustainability leaders, clearly differentiating Lila from traditional HTE vendors, point-solution AI tools, and CROs.
Content Creation
- Produce technical and visionary content, including:
- Domain-focused one-pagers and solution briefs (electrocatalysis, LNPs, sorbents, coatings, quantum materials)
- Case studies and vignettes that translate CLUE campaigns, flow cell workcells, and AISF demos into partner-ready slides and visuals
- Executive decks for Chevron, Merck-style conversations, industry keynotes, and joint partner briefings
- Website and industry-page copy for physical sciences, in collaboration with Brand, CSO Materials, and PS leads
Sales & Field Enablement
- Partner with Commercial and BD to deliver high-impact collateral for physical-science prospects:
- Pitch decks and talk tracks linked to CLUE, flow chemistry, LNP, sorbents, and coatings capabilities
- Competitive positioning and objection handling against AI-for-materials and automation players
- Simple ROI/value frameworks (faster time to best-in-class catalysts, improved yields, fewer experiments, enhanced durability)
- Capture learnings from customer and partner meetings (e.g., Chevron, energy majors, OEMs, national labs) and feed them back into messaging and product feedback loops
Market Intelligence & Insight
- Monitor competitive landscape and adjacencies in AI-driven materials discovery, HTE vendors, simulation platforms, and industrial R&D digitization
- Synthesize customer signals from commercial conversations, conferences (e.g., GTC, sustainability/energy events), and federal initiatives to inform PS product and business-model decisions
- Help prioritize PS storytelling priorities for 2026 (e.g., CLUE results and green hydrogen, LNPs and targeted delivery, extreme-environment coatings, quantum materials) to drive revenue and partnerships
Evangelism & Representation
- Serve as a visible advocate for Lila’s physical sciences work, supporting researchers in events, webinars, and joint partner sessions
- Collaborate with MarCom on PR and thought leadership that highlights CLUE, AISF for flow chemistry, electrocatalysis, carbon capture sorbents, and advanced materials achievements
Bonus Points For
Education
- Bachelor’s or Master’s degree in Chemistry, Materials Science, Chemical Engineering, or a related field. PhD a plus.
Experience
- 5+ years in B2B SaaS or technical product marketing, ideally within lab informatics, scientific software, or AI/ML for physical sciences, energy, or advanced materials.
Technical Understanding
- Strong grasp of AI/ML applied to physical sciences (e.g., property prediction, generative models for materials, Bayesian optimization, simulation-driven design).
- Comfortable discussing catalysis, sorbents, coatings, or related domains, even if you are not the domain PI.
Storytelling & Communication
- Proven ability to translate complex technical data and workflows into accessible, precise, and compelling narratives for scientists and business stakeholders; strong writing portfolio a plus.
Collaboration
- Track record of partnering with Product, R&D, and Commercial teams; able to serve as a trusted thought partner to PS leaders and researchers.
Execution & Ownership
- Strong project management skills; capable of coordinating multiple GTM streams in parallel and delivering on deadlines tied to events, partner meetings, and internal milestones.
Startup Mindset
- Comfortable in a fast-moving, highly cross-functional environment where product, category, and business models are evolving.
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—$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.
