Co-Op, Software Product Management

Lila SciencesCambridge, MA

About The Position

Lila Sciences is seeking a Fall Co-Op (Intern) in Software Product Management to contribute to software and workflow enhancements within their scientific software platform. This role bridges the gap between scientists, software engineering, and product development. The co-op will observe users, help translate workflow requirements into product specifications, and support the team in integrating designs, data, results, and learnings across scientific workflows. This position is ideal for individuals interested in product management, scientific operations, lab software, or data systems. The co-op will gain practical experience in converting scientific workflows into software requirements and will be responsible for a small-scoped feature or workflow improvement from its initial concept through to its final delivery.

Requirements

  • Interest in product management, scientific workflows, lab operations, or software systems.
  • Strong written communication skills and ability to turn ambiguity into clear requirements.
  • Comfort working with cross-functional partners across science, product, and engineering.
  • Ability to observe workflows, ask thoughtful questions, and synthesize user needs.
  • Organized approach to tracking tasks, decisions, and follow-ups.
  • Curiosity about how software can improve experimental throughput, traceability, and data quality.

Nice To Haves

  • Experience with product backlogs, user stories, or acceptance criteria.
  • Exposure to scientific data systems, lab software, or workflow tools.
  • Prior internship, coursework, or project work involving product, operations, or software delivery.

Responsibilities

  • Shadow scientists and other users to understand their software and workflow needs.
  • Assist in grooming product backlogs with product, science, and engineering partners.
  • Write clear user stories and acceptance criteria from ambiguous requirements.
  • Support the connection of designs, data, and results across scientific workflows.
  • Triage recurring user requests and convert them into actionable tickets.
  • Own a small scoped feature or workflow improvement from discovery through delivery.
  • Partner with engineers and scientists to clarify requirements, acceptance criteria, and workflow impact.
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