Your Impact at LILA
We are seeking an Enterprise Account Lead, Chemicals to define how Fortune 500 energy, manufacturing, and chemical companies engage with the world's first platform for scientific superintelligence. You'll be a foundational member of the team responsible for building and scaling our enterprise sales organization and driving deal execution for Lila's AI-driven materials and chemistry platform.
As a revenue-focused individual contributor, you'll own and grow a portion of our physical sciences revenue pipeline, working across technical product, science, GTM, software, robotics, and Physical AI teams to translate our closed-loop AI and autonomous lab capabilities into signed enterprise contracts across catalyst, flow chemistry, and advanced materials.
This role blends technical depth with strong business acumen, an entrepreneurial mindset, and customer-centricity, and it is intentionally shaped to grow with the person who takes it on. You will prospect, qualify, and close enterprise deals, deliver structured market insights back to inform our product roadmap, and help to build out our GTM organization. In year one, you'll work across product and customer strategy, customer technical discovery, sales process design, and account leadership in one of the most technically demanding verticals in enterprise software.
What You'll Be Building
- Build, manage, and grow a high-quality pipeline against clear revenue targets, from opportunity identification and qualification through proposal, negotiation, and close.
- Lead complex, multi-stakeholder sales cycles across R&D, platform/technology, data/AI, and business leadership, coordinating internally to ensure tight execution and timely progress.
- Maintain accurate revenue forecasts and deal records, surfacing tradeoffs, priorities, and decisions for Lila's leadership team.
- Engage confidently with physical sciences buyers, speaking their language and helping customers understand where Lila fits in their R&D stack.
- Own a portfolio of strategic accounts end-to-end, building executive relationships and running account-level planning (whitespace, expansion, renewal).
- Drive day-to-day account execution: account research, meeting prep, customer-facing materials (pitch decks, proposals, briefs), structured follow-up, and stakeholder management.
- Partner with product, science, and business teams to scope high-value customer engagements, mapping customer needs and timelines against internal capabilities and resourcing.
- Coordinate internally across product, science, and leadership, bringing the right experts into customer conversations and unblocking technical inputs.
- Own technical RFI and DDQ response, routing scientific questions to internal experts and packaging polished customer-facing deliverables.
- Track the AI/ML partnership landscape across physical sciences and translate it into implications for Lila's positioning, messaging, and competitive strategy.
- Refine and maintain the revenue CRM, build BD tools and processes (proposal templates, delivery handoffs, governance), and define a repeatable GTM playbook (qualification criteria, battle cards, talk tracks).
What You'll Need to Succeed
- BS, MS, PhD, or equivalent experience in chemistry, physics, chemical engineering, or adjacent fields.
- 2-5+ years in a client-facing role where you owned outcomes for customers, across BD, enterprise sales, management consulting, customer success, or applied science (industrial, energy, or materials).
- Comfortable in a fast-moving, highly technical, cross-functional environment where the sales process, materials, and role itself are still being shaped.
- Strong written and verbal communication, able to translate technical depth into clear, customer-ready narratives for both R&D buyers and procurement teams.
- Highly organized and execution-oriented, comfortable managing multiple live accounts in parallel with limited oversight.
- Collaborative, low-ego working style, able to build trust quickly with PMs, scientists, engineers, and product leaders.
- Hands-on use of AI tools in day-to-day workflows and curiosity about how AI and autonomous science will reshape physical science.
Bonus Points For
- Working familiarity with AI/ML applied to physical sciences: property prediction, generative models for materials, Bayesian optimization, simulation-driven design.
- Direct exposure to enterprise R&D buying cycles in materials, semiconductors, or industrial biotech.
- Prior experience in frontier AI (SaaS, biotech, robotics, or data) selling into technical buyers.
- Prior experience as a founder or early GTM/commercial hire helping define early processes, playbooks, and collateral.
- A point of view on where AI is and is not useful in physical sciences R&D today.
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
- BS, MS, PhD, or equivalent in chemistry, physics, chemical engineering, or adjacent field
- 2-5+ years in a client-facing role owning customer outcomes (BD, enterprise sales, consulting, customer success, or applied science)
- Hands-on use of AI tools in day-to-day workflows
- Strong written and verbal communication; translate technical depth into customer-ready narratives
- Highly organized and execution-oriented; manage multiple live accounts with limited oversight
- Collaborative, low-ego working style; build trust with PMs, scientists, engineers, and product leaders
- Comfortable in a fast-moving, highly technical, cross-functional environment where processes are being shaped
- Ability to own technical RFI and DDQ responses and package polished customer deliverables
- Working familiarity with AI/ML applied to physical sciences (property prediction, generative models, Bayesian optimization, simulation-driven design)
- Direct exposure to enterprise R&D buying cycles in materials, semiconductors, or industrial biotech
- Prior experience selling frontier AI, biotech, robotics, or data platforms into technical buyers
- Prior founder or early GTM/commercial hire experience helping define processes, playbooks, and collateral
What We Do
Lila is a technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method.
