Manager / Senior Manager, Enterprise GTM, Life Sciences

Lila Sciences; Cambridge (MA); On-site; USD 108,000 - 187,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Equity in a fast-growing company

Generous holidays & parental leave

Job summary

Lila Sciences in Cambridge, MA is seeking an Enterprise Account Lead, Life Sciences to define how top pharma and biotech customers engage with our platform for scientific superintelligence. You will own a portion of the life sciences revenue pipeline, manage multi-stakeholder engagements across R&D, BD/licensing, IT, and ensure deals move from discovery to close.

This is a revenue-focused, individual-contributor role blending product, science, and GTM.

Qualifications

• Experience owning outcomes for customers in pharma/biotech enterprise settings.
• Strong stakeholder management across R&D, BD/licensing, IT and product teams.
• Ability to navigate complex, multi-quarter sales cycles with technical depth.

Responsibilities

• Build and grow a qualified pipeline against revenue targets from lead to close.
• Lead complex sales cycles across discovery, platform, data/AI, and licensing.
• Own pharma accounts end-to-end, with executive relationships and renewal planning.
• Open new doors across biotech to shape a repeatable mid-market motion.
• Coordinate with product, science, and leadership to scope high-value engagements.

Skills

Enterprise sales

Account management

Cross-functional collaboration

Sales strategy

Education

BS/MS/PhD in biology or related field

Tools

CRM software (Salesforce)

Job description

Manager / Senior Manager, Enterprise GTM, Life Sciences

Cambridge, MA USA

We are seeking an Enterprise Account Lead, Life Sciences to define how top 20 pharma and leading biotech 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 drug discovery and life sciences platform.

As a revenue-focused individual contributor, you'll own and grow a portion of our life 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 target discovery, small molecule, and biologics. You'll lead deep, multi-stakeholder engagements with a portfolio of top 20 pharma accounts, and in parallel, open new doors across the biotech ecosystem to build a repeatable mid-market motion.

The role demands technical depth, business acumen, an entrepreneurial mindset, and customer-centricity, and it is intentionally shaped to grow with the person who takes it on. In year one, you will 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 and grow a qualified pipeline against clear revenue targets, from lead generation through close, with accurate forecasts and deal records.
• Lead complex, multi-quarter sales cycles across discovery, translational, platform, data/AI, BD/licensing, and business stakeholders at top 20 pharma accounts.
• Own a portfolio of pharma accounts end-to-end, building executive relationships across R&D, BD/licensing, and IT, and running whitespace, expansion, and renewal planning.
• Open new doors across the biotech ecosystem, sourcing opportunities and shaping a repeatable mid-market motion as it matures.
• Partner with product, science, and leadership to scope high-value engagements, unblock technical inputs, and keep deals moving.
• Own technical RFI and DDQ response, routing scientific questions to internal experts and packaging customer-facing deliverables.
• Build and maintain the revenue CRM, BD tooling, and a repeatable GTM playbook including qualification criteria, battle cards, and proposal templates.

What You'll Need to Succeed

• BS, MS, PhD, or equivalent experience in biology, chemistry, biochemistry, bioengineering, or adjacent fields.
• 2-5+ years in a client-facing role where you owned outcomes for customers, across pharma BD or alliance management, life sciences strategy consulting, pharma-tech enterprise sales or pre-sales, customer success, or applied science.
• Comfortable in a fast-moving, technical, cross-functional environment where the process, materials, and role itself are still being shaped.
• Strong written and verbal communication paired with disciplined execution, comfortable managing multiple live accounts in parallel with limited oversight.
• Track record of carrying multi-quarter pursuits where momentum comes from sustained stakeholder orchestration and proof-of-value milestones.
• 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 life science.

Bonus Points For

• Working familiarity with AI/ML applied to life sciences: target identification, generative models for molecules and biologics, predictive ADMET, computational biology.
• Direct exposure to enterprise R&D buying cycles in pharma, biotech, diagnostics, or therapeutics.
• 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 life 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.

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, LIRA 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 iscommitted to equal employment opportunityregardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

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