Product Marketing Manager, Physical Sciences
Quick Summary
Catalyst and materials discovery for green hydrogen and electrochemistry LNP and advanced materials design for transport and separations Coatings, sorbents,
We are seeking a Product Marketing Manager, Physical Sciences to drive go‑to‑market for Lila’s AI‑driven materials and chemistry platform. You will sit at the intersection of:
- Physical science domains (catalysts, sorbents, coatings, LNPs, quantum and extreme‑environment materials)
- Autonomous experimentation (flow chemistry ecosystems, high‑throughput electrocatalysis, advanced characterization workcells)[8][3]
- AI and modeling (property prediction, design spaces, BO/LLM‑augmented optimization)[9][4]
Your job is to translate this stack into narratives, launches, and evidence that resonate with:
- Industrial R&D and technology leaders (energy, chemicals, manufacturing)
- Sustainability and advanced materials teams
- Strategic partners, national labs, and federal programs
- 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).
- Translate PS product milestones (new AISF demos, CLUE campaign results, partner‑ready vignettes) into launch moments with clear offers, timelines, and success metrics.
- Align launches with priority commercial motions in physical sciences (Accelerated‑By‑Lila / Lila Superscientists, joint development, “agentic science” offerings).
- Develop crisp, value‑based messaging that explains how Lila’s platform accelerates:
- Catalyst and materials discovery for green hydrogen and electrochemistry
- LNP and advanced materials design 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.
- Build technical and visionary content, including:
- One‑pagers and solution briefs for specific domains (electrocatalysis, LNPs, sorbents, coatings, quantum materials).
- Case studies and “vignettes” that turn CLUE campaigns, flow‑cell workcells, and AISF demos into partner‑ready slides and visuals.
- Decks for executive meetings (e.g., Chevron, Merck‑style conversations), industry keynotes, and joint partner briefings.
- Website and industries‑page copy for physical sciences in collaboration with Brand, CSO Materials, and PS leads.
- Partner with Commercial and BD to deliver high‑impact collateral for physical‑science prospects:
- Pitch decks and talk tracks linked directly to CLUE, flow chemistry, LNP, sorbent, and coatings capabilities.
- Competitive positioning and objection‑handling vs. other AI‑for‑materials and automation players.
- Simple ROI and value frameworks (faster time to best‑in‑class catalyst, better yield, fewer experiments, improved durability, etc.).
- Capture learnings from customer and partner meetings (Chevron, energy majors, OEMs, national labs) and feed them back into messaging and product feedback loops.
- Track 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 and energy events), and federal initiatives to inform PS product and business‑model decisions.
- Help prioritize which PS stories to lead with in 2026 (e.g., CLUE results and green hydrogen, LNPs and targeted delivery, extreme‑environment coatings, quantum materials) to support revenue and partnership goals.
- Serve as a visible advocate for Lila’s physical sciences work—supporting Rafa, John, Rebecca, and PS researchers at events, webinars, and joint partner sessions.
Coordinate with MarCom on PR and thought leadership that showcases CLUE, AISF for flow chemistry, electrocatalysis, carbon capture sorbents, and advanced materials
- Education:
- Bachelor’s or Master’s degree in Chemistry, Materials Science, Chemical Engineering, or related field. PhD is a plus.
- Experience:
- 5+ years in B2B SaaS or technical product marketing, ideally in lab informatics, scientific software, or AI/ML for physical sciences, energy, or advanced materials.
- Technical Understanding:
- Solid grasp of AI/ML as applied to physical sciences (e.g., property prediction, generative models for materials, Bayesian optimization, simulation‑driven design).
- Comfort speaking about catalysis, sorbents, coatings, or related domains even if you are not the domain PI.
- Storytelling & Communication:
- Proven ability to make complex technical data and workflows accessible, precise, and compelling for both scientists and business stakeholders; strong writing portfolio a plus.
- Collaboration:
- Demonstrated success working with Product, R&D, and Commercial teams; able to operate as a trusted thought partner to PS leaders and researchers.
- Execution & Ownership:
- Strong project management skills; able to run multiple GTM streams in parallel and hit 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 still evolving.
What We Offer
~1 min readWe offer competitive compensation including bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.
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.
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.
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.
Listing Details
- Posted
- April 15, 2026
- First seen
- March 26, 2026
- Last seen
- April 15, 2026
Posting Health
- Days active
- 20
- Repost count
- 0
- Trust Level
- 83%
- Scored at
- April 15, 2026
Signal breakdown
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