GenAI-Driven Product Strategy Intern

Trinity Life Sciences

Waltham (MA)

Hybrid

USD 47,000 - 50,000

Part time

4 days ago
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Benefits offered by this job

Paid internship
Mentorship program
Hybrid work schedule

Job summary

Trinity Life Sciences is offering a Product Management Summer Intern position in a hybrid setup, rotating between Waltham, MA, and New York, NY. The 9-week program runs mid June to mid August 2027 and pays $35 per hour for a 40-hour work week.

You will work with product managers, engineers, and data scientists to research, design, and implement AI-enabled features for life sciences clients. Ideal candidates are graduate students with one year left, who bring strong teamwork, curiosity about

Qualifications

  • Enrolled in a graduate program with 1 year left in studies.
  • Experience in product management, consulting, banking, or similar business/technical roles is desirable.
  • Hands-on exposure to GenAI or agentic AI tools is a plus, though not required.

Responsibilities

  • Collaborate with Engineering, Data Science, and Design to design and launch new products/features.
  • Ask questions to inform discovery and determine design of features aligned with user needs.
  • Translate business needs into detailed product requirements with AI considerations.
  • Support roadmap, release, and sprint planning to align builds with business needs.
  • Track user engagement metrics and AI-specific signals to identify new feature ideas.
  • Prototype and test AI-enabled workflows using modern AI tooling.
  • Assist in training internal and client users on product features and releases.

Skills

Team player
GenAI experience
AI concepts
Communication
Fast-paced environment

Education

Graduate student

Tools

GenAI tools

Job description

Trinity Life Sciences is offering a Product Management Summer Intern position in a hybrid setup, rotating between Waltham, MA, and New York, NY. The 9-week program runs mid June to mid August 2027 and pays $35 per hour for a 40-hour work week.

You will work with product managers, engineers, and data scientists to research, design, and implement AI-enabled features for life sciences clients. Ideal candidates are graduate students with one year left, who bring strong teamwork, curiosity about

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