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Salary
$88k – $287k per year (Estimated)
Location
In office (Cambridge)
Overview
Company
Impact
Profile match
Lila Sciences is an American company launched publicly in 2025 out of Flagship Pioneering with the aim of building what it calls scientific superintelligence: artificial intelligence systems that generate hypotheses and then test them in the company's own automated laboratories. Its distinguishing feature is the closed loop between model and experiment, since most scientific machine learning is limited by the fact that the data it needs has never been generated. Headquartered in Cambridge, Massachusetts and funded at an unusually large scale for a company at this stage, it is working across life sciences and materials chemistry rather than committing to a single field.

Your Impact at LILA

Lila is looking for a fall co-op to support the Enterprise Go-to-Market team as we build more proactive, structured, and data-informed ways to prioritize customer opportunities. This role will sit close to enterprise, product marketing, and commercial workflows, helping the team turn customer signals, competitive intelligence, CRM data, and market research into clearer enablement systems.

The co-op will support projects across opportunity prioritization, customer segmentation, competitive research, and sales tooling. They will help organize information, improve how the team tracks and acts on market signals, and contribute to practical resources that make enterprise GTM work more focused and repeatable.

This is a good fit for someone who is curious about B2B go-to-market strategy, product marketing, revenue operations, and AI-enabled commercial systems. The work will be hands-on and cross-functional, with exposure to how Lila identifies priority customers, supports strategic deals, and builds the operating tools needed for a fast-growing enterprise team.

What You'll Be Building

  • Support research on customer segmentation, opportunity prioritization, and strategic account focus areas.
  • Help organize customer, market, and CRM data into usable GTM enablement resources.
  • Synthesize signals from customer conversations, market research, and internal data into clear briefs and summaries.
  • Build lightweight tools, trackers, and workflows that make GTM execution more proactive, including competitive intelligence resources for the AI-for-science landscape.
  • Contribute to research-backed sales and product marketing materials for enterprise audiences.
  • Help clarify how Lila’s platform differs from point-solution AI tools, CRO-style approaches, lab automation vendors, scientific software, and model-only providers.
  • Identify ways AI tools and agentic workflows can improve team productivity, insight generation, and prioritization.

What You'll Need to Succeed

  • Currently enrolled in an MBA program.
  • Strong interest in enterprise go-to-market, product marketing, revenue operations, or commercial strategy.
  • High comfort using AI tools to research, structure information, and improve day-to-day workflows.
  • Able to synthesize messy inputs into clear briefs, trackers, summaries, or recommendations.
  • Strong written communication skills, with attention to clarity, structure, and audience.
  • Comfortable working across commercial, product marketing, and technical stakeholders.
  • Organized, proactive, and able to manage multiple small projects with clear follow-through.

Bonus Points For

  • Experience in B2B software, enterprise technology, AI, or model-provider environments.
  • Familiarity with CRM tools, GTM tooling, market research, or customer segmentation.
  • Interest in AI for science, scientific software, lab automation, or technical commercialization.
  • Technical academic background in life sciences, physical sciences, engineering, computer science, or a related field.

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.

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