Co-Op, Software Product Management

Lila Sciences
Cambridge
Workplace: OnsiteFull timeFunction: Communications, PR & CommunitySkills: ["Communication","Requirements gathering","Cross-functional collaboration","Documentation","Project tracking"]

Join a Fall Co-Op in Software Product Management to help translate scientists' workflow needs into clear product requirements, groom backlogs, and drive small feature work from discovery through delivery on a scientific software platform. Collaborate with scientists, engineers, and product partners to improve data quality, traceability, and throughput across experimental workflows.

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Lila Sciences
Lila Sciences
2 months ago

Co-Op, Software Product Management

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Last checked: 3 hours agoStatus: Live

Job Summary

Join a Fall Co-Op in Software Product Management to help translate scientists' workflow needs into clear product requirements, groom backlogs, and drive small feature work from discovery through delivery on a scientific software platform. Collaborate with scientists, engineers, and product partners to improve data quality, traceability, and throughput across experimental workflows.
Location: Cambridge
Workplace: Onsite
Employment Type: Full time
Job Function: Communications, PR & Community
Seniority: Intern level

Key Responsibilities

  • •Shadow scientists and other users to understand their software and workflow needs.
  • •Help groom product backlogs with product, science, and engineering partners.
  • •Write clear user stories and acceptance criteria from ambiguous requirements.
  • •Support connecting designs, data, and results across scientific workflows.
  • •Triage recurring user asks and convert them into actionable tickets.

Key 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.
Experience:Lab softwareScientific workflowsData systems
Skills:CommunicationRequirements gatheringCross-functional collaborationDocumentationProject tracking
Languages:English

Company Brief

Lila Sciences
Develops AI-driven platforms to accelerate drug discovery and biological research by integrating machine learning with chemical and biological data to predict molecular properties, streamline candidate selection, and enable faster therapeutic development.
Industry: Biotech
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
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