2027 Internship Product Intern

Bedrock Robotics Inc • San Francisco, CA

7d

About The Position

Bedrock's Product team decides what our autonomous machines should learn to do next. They also make sure the people who work alongside them get real value from them: operators, site managers and the construction companies we partner with. Our problems rarely arrive as specs. Which task or machine type is worth taking on next? How do you turn "digs like an expert" into a number you can measure? What does a partner need to see before trusting a 40-ton machine on their site?
As our Product intern, you'll get a problem like that, not a task list, and own it for the summer. You'll frame it, work out the answer, build what's needed, and bring the team a recommendation they can act on. You'll work the way our team does: with AI tools in hand, going from question to working prototype in days, not weeks.

Requirements

• Currently pursuing a BS or MS in computer science, engineering, math, economics or another technical or quantitative field, or bringing equivalent experience building things
• A track record of agency: you've taken on a problem nobody assigned you (a project, a tool, a company, a research question) and carried it to a real result
• AI-native: you use tools like Claude Code, Cursor or Codex every day to build, analyze and write, and you know how to check their output and when not to trust it
• Hands-on with data: Python or SQL, plus comfort reading code and following a technical discussion with engineers
• Clear, concise writing: you can turn a messy problem into a one-page recommendation someone can act on
• Willingness to spend time at our field sites, in PPE, around heavy equipment

Nice To Haves

• Something you built that real people use: an app, an internal tool, an open-source project, a startup
• Prior product, engineering or founding-team experience at a startup
• Experience with robotics, autonomy, ML or data-heavy products
• Interest in construction or other physical-world industries; no prior experience needed

Responsibilities

• Own an open product problem end to end: frame it, find the data and the people who know, decide what to build, and ship it before the summer ends
• Turn fleet data from real jobsites into decisions: how well our machines perform, where they struggle, and what that means for what we build next
• Prototype with AI coding tools and agents: internal tools, data pipelines, automated workflows, and working demos that make an idea concrete instead of slides about it
• Spend time at our field sites with operators and site teams, and turn what you see into requirements engineers can build against
• Work across autonomy, evaluation, operations and commercial teams to pressure-test ideas and unblock yourself
• Write up your findings and present a clear recommendation to leadership: what you found, what you built, and what we should do next

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed