Co-Op, Enterprise Go-to-Market

About the role

Lila is seeking a fall co-op to support the Enterprise Go-to-Market team. The role involves building more proactive, data-driven methods for prioritizing customer opportunities. The co-op will work closely with enterprise, product marketing, and commercial teams, focusing on projects such as opportunity prioritization, customer segmentation, competitive research, and sales tooling.

Responsibilities

• Support research on customer segmentation, opportunity prioritization, and strategic account focus areas.
• 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.
• Identify ways AI tools and agentic workflows can improve team productivity, insight generation, and prioritization.

Requirements

• 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.
• A technical academic background in life sciences, physical sciences, engineering, computer science, or a related field.

What You'll Need To Succeed

• Current enrollment 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.

About LILA

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We combine 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.

We are guided by 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 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.

We do 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.