Manager / Senior Manager, Enterprise GTM, Life Sciences

Lila Sciences; Cambridge (MA); On-site; USD 88,000 - 144,000; Full time

Benefits offered by this job

Comprehensive benefits program

Flexible time off

Paid parental leave

Educational assistance program

Commuter benefits

Job summary

Lila Sciences is looking for an Enterprise Account Lead, Life Sciences, to drive engagement with top pharma and biotech companies on their AI-driven drug discovery platform. You will be responsible for building a qualified sales pipeline and leading complex sales cycles across various accounts.

The ideal candidate will have a strong scientific background with 2-5+ years in client-facing roles and must possess excellent communication skills. This role offers competitive compensation with potential bonuses and equity.

Qualifications

• 2-5+ years in a client-facing role owning outcomes for customers.
• Experience in pharma BD, life sciences strategy consulting, or applied science.
• Comfortable in fast-paced, technical environments.

Responsibilities

• Build and grow a qualified sales pipeline.
• Lead complex sales cycles with top pharma accounts.
• Build executive relationships across multiple departments.

Skills

Client-facing outcomes

Strong communication

Multi-quarter sales cycles

Cross-functional collaboration

Technical understanding of AI tools

Education

BS, MS, PhD in biology, chemistry, biochemistry, or related fields

Tools

AI tools

CRM systems

Job description

Enterprise Account Lead, Life Sciences

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.

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 maturing.
• 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

Compensation includes 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: $88,000 USD - $144,000 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.