Drimva

Astera Labs

AI Product Management Intern

San Jose, CA +1 · Internship · Posted Oct 30, 2026

Location
San Jose, CA
California
Education
Currently pursuing a graduate degree in business, technology, engineering, information systems, or a related field; candidates with equivalent product-building experience are also encouraged to apply.

About the job

The intern discovers and prioritizes internal AI product opportunities, then helps shape requirements, prototype solutions, and guide them through pilots, adoption, and measurement.

What you'll do

  • Interview stakeholders to identify needs and prioritize AI opportunities based on value, feasibility, risk, and dependencies.
  • Translate needs into product requirements and collaborate with cross-functional teams to build and test prototypes and pilots.
  • Define success measures, support rollout and feedback, and communicate product decisions, risks, and recommendations.

What they ask for

  • Currently pursuing a graduate degree in business, technology, engineering, information systems, or a related field, or equivalent product-building experience.
  • Demonstrated interest in AI-enabled products and experience using AI tools in practical work, academic projects, or prototypes.
  • Strong business and analytical judgment, with the ability to structure ambiguous needs and prioritize trade-offs.
  • Strong communication, collaboration, and organizational skills, including judgment around privacy, security, and responsible AI.

Nice to have

  • MBA candidate or graduate student with relevant experience; MBA preferred, not required.
  • Prior relevant experience or hands-on work with product requirements, Glean, Claude Code, LLM-based tools, AI agents, workflow automation, prototyping, or data analysis.

Pay

USD $35/hour to $55/hour (hourly rate); USD $500-per-week (housing/relocation stipend)

Tools

Glean, Claude Code

AI focus

Discover and prioritize AI product opportunities; prototype, test, pilot, and measure AI-enabled solutions while incorporating responsible AI, privacy, security, and human oversight.

Model-written summary · the original posting is authoritative

First seen Oct 31, 2026 · Last verified Nov 4, 2026 (UTC)