2027 Internship Product Intern

Bedrock Robotics IncBedrock Robotics IncSan Francisco, California, United States
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Posted

10/1/2026

Employment

Internship

Range

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Work style

On-site

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AI summary

Core responsibilities

The intern will own an open-ended product problem, framing it and building a solution that provides measurable value to the team. They will also spend time at field sites to translate operator needs into actionable requirements for engineers.

Requirements overview

Candidates must be currently pursuing a degree in a technical or quantitative field and possess a track record of taking initiative on projects. Proficiency in Python or SQL and experience with AI-native coding tools are required.

Key skills

Product ManagementPythonSQLData AnalysisAI ToolsPrototypingRoboticsMachine LearningTechnical WritingOperationsConstruction TechnologyProblem SolvingData PipelinesWorkflow AutomationEngineering Collaboration

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Education requirements

bachelor degreepostgraduate degree

About Bedrock Robotics Inc

Industry

Robotics Engineering

Employees

159

Type

Privately Held

Size

51-200 employees

Bedrock Robotics brings advanced autonomy to the built world, helping the construction industry build at the pace today's society demands. Our technology upgrades existing heavy equipment, enabling truly autonomous operation with expert level quality and superhuman safety. At a time when we need to build faster than ever—from housing to data centers to factories and energy infrastructure—autonomous construction isn't just an innovation, it's an economic necessity.

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Job categories

TechnologyEngineeringConstructionData & AnalyticsSoftware

Description

Join the team bringing advanced autonomy to the built world At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects. We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction. This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us. About the Role & Team Bedrock's Product team decides what our autonomous machines should learn to do next. We 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. What You'll Do 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 We're Looking For Required 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 Preferred 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 Bedrock Robotics is an Equal Opportunity Employer We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic. Reasonable Accommodations We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.

Requirements

  • •Product Management
  • •Python
  • •SQL
  • •Data Analysis
  • •AI Tools
  • •Prototyping
  • •Robotics
  • •Machine Learning
  • •Technical Writing
  • •Operations
  • •Construction Technology
  • •Problem Solving
  • •Data Pipelines
  • •Workflow Automation
  • •Engineering Collaboration

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