5 months ago

Manager / Senior Manager, Product Marketing, Physical Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Lead go-to-market for Lila’s AI-driven materials and chemistry platform in physical sciences, translating complex technical capabilities into compelling market narratives, launches, and evidence for industrial R&D, sustainability teams, and strategic partners. Drive GTM strategy, messaging, content, and field enablement while coordinating multiple streams across technical and business stakeholders in a fast-moving startup environment.

Location: Cambridge

Workplace: Onsite

Employment Type: Full time

Job Function: Marketing & Growth

Seniority: Sr. Manager level

Key Responsibilities

•Define and execute GTM plans for new physical science capabilities with clear offers, timelines, and success metrics.
•Translate product milestones into launch-ready packages, including positioning, messaging, collateral, and enablement assets.
•Align launches with priority commercial motions to maximize adoption and impact.
•Produce technical and visionary content, including domain-focused one-pagers, case studies, executive decks, and website copy.
•Partner with Commercial and BD to deliver high-impact collateral, capture learnings from customer meetings, and drive messaging feedback loops.

Pay and Benefits

Salary: USD 108,000 - 186,667 annually

Equity and Bonus:Equity

Perks:EquityAnnual Bonus

Key Requirements

•Bachelor’s or Master’s degree in Chemistry, Materials Science, Chemical Engineering, or a related field (PhD a plus).
•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.
•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.
•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.

Experience:5+ yearsB2B SaaSLab informaticsScientific softwareAI/MLPhysical sciences

Education:Bachelor's

Skills:CommunicationCollaborationWritingPresentationProject management

Languages:English

Tech Stack:AIMLBayesian optimizationLLMFlow chemistryElectrocatalysisLNPCoatingsSorbentsMaterials discovery

Company Brief

Lila Sciences

Industry: Biotech

Website

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Lila Sciences

5 months ago

Manager / Senior Manager, Product Marketing, Physical Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: Cambridge

Workplace: Onsite

Employment Type: Full time

Job Function: Marketing & Growth

Seniority: Sr. Manager level

Key Responsibilities

•Define and execute GTM plans for new physical science capabilities with clear offers, timelines, and success metrics.
•Translate product milestones into launch-ready packages, including positioning, messaging, collateral, and enablement assets.
•Align launches with priority commercial motions to maximize adoption and impact.
•Produce technical and visionary content, including domain-focused one-pagers, case studies, executive decks, and website copy.
•Partner with Commercial and BD to deliver high-impact collateral, capture learnings from customer meetings, and drive messaging feedback loops.

Pay and Benefits

Salary: USD 108,000 - 186,667 annually

Equity and Bonus:Equity

Perks:EquityAnnual Bonus

Key Requirements

•Bachelor’s or Master’s degree in Chemistry, Materials Science, Chemical Engineering, or a related field (PhD a plus).
•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.
•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.
•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.

Experience:5+ yearsB2B SaaSLab informaticsScientific softwareAI/MLPhysical sciences

Education:Bachelor's

Skills:CommunicationCollaborationWritingPresentationProject management

Languages:English

Tech Stack:AIMLBayesian optimizationLLMFlow chemistryElectrocatalysisLNPCoatingsSorbentsMaterials discovery

Company Brief

Lila Sciences

Industry: Biotech

Website