Co-Op, Enterprise Go-to-Market

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.