Summer GenAI Product Strategy Intern

Trinity Partners, LLC

Lynn (MA)

Híbrido

USD 41.000 - 55.000

Jornada completa

Hace 4 días
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Descripción de la vacante

Trinity Life Sciences, a premier partner in life sciences, seeks a motivated intern for the Product Strategy team. The 9‑week program runs mid June–mid August 2027, with hybrid work in Waltham, MA or New York, NY, and pay at $35/hour for 40 hours/week.

You will collaborate with product managers, software engineers and data scientists to research, design and launch AI-enabled products, gaining mentorship and formal training to sharpen skills in an AI-first environment.

Formación

  • Graduate student with 1 year left in studies; prior work experience in product management/related roles is desirable.
  • Hands-on exposure to GenAI or agentic AI tools is a plus; engineering background not required.

Responsabilidades

  • Collaborate with Engineering, Data Science, and Design to design, validate, build, and launch new products/features that add value to users
  • Ask the right questions to inform discovery/innovation and help determine if/how to design new features aligned with user needs
  • Translate business needs into detailed product requirements in collaboration with stakeholders, including AI agent involvement
  • Support roadmap, release, and sprint planning to align product builds with business needs
  • Track UX and AI-related metrics to drive new feature ideas
  • Prototype and pressure-test AI-enabled workflows using modern AI tooling
  • Educate internal and client users on product features and releases

Conocimientos

GenAI experience
Team collaboration
Learning mindset
Stakeholder communication

Educación

Graduate program in related field

Herramientas

GenAI tools

Descripción del empleo

Trinity Life Sciences, a premier partner in life sciences, seeks a motivated intern for the Product Strategy team. The 9‑week program runs mid June–mid August 2027, with hybrid work in Waltham, MA or New York, NY, and pay at $35/hour for 40 hours/week.

You will collaborate with product managers, software engineers and data scientists to research, design and launch AI-enabled products, gaining mentorship and formal training to sharpen skills in an AI-first environment.

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