Product Operations Engineer Intern

Posted Yesterday
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San Francisco, CA, USA
Hybrid
Internship
Artificial Intelligence • Logistics • Software
The Role
Build and deploy internal AI agents, applications, data pipelines, integrations, and operational workflows used across Product, Engineering, Deployments, GTM, and Operations. Partner with cross-functional stakeholders to automate recurring work, improve deployment and release processes, coordinate labeling operations, support technical commercial enablement, and contribute to pricing and product analysis.
Summary Generated by Built In

About HappyRobot

HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across voice, email, and enterprise systems. Born in Y Combinator (S23) and backed by a16z and Base10 with over $200M raised, we power critical operations for global enterprises worldwide.

Our platform is battle-tested in the most demanding environments - where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy.

Role Overview

We are looking for a Product Ops Engineer Intern to build internal applications and AI agents to accelerate operations across product, engineering, deployments, and GTM. We build AI workforces for our customers, and this role is about building them for ourselves. You'll ship real software that people at HappyRobot use every day, with mentorship from a strong engineering team.

You'll work directly with the CTO and Head of Product, and your users will be your experts across Product, Engineering, Deployments, Go-To-Market, and Operations. Instead of tracking down inefficiencies by hand, you'll build the tools and agents that remove them: cross-functional agentic workflows, data pipelines, integrations, all the way up to autonomous agents that run entire work-streams.

Key Responsibilities

  • Build internal agents to automate operational work-streams: Design, deploy, and monitor AI agents that take over recurring work end to end.

  • Build internal applications: Design, build, and ship apps that streamline how teams work, such as deployment tracking, release and feature-enablement workflows, field feedback intake, and labeling operations management.

  • GTM & Commercial Enablement: Partner with GTM to drive technical enablement, support Product-Led Sales (PLS) motions, and refine feature pricing structures. You ensure the commercial side understands the technical reality and value of what we are shipping.

Who You Are

  • A Technical Operator: You possess a rare mix of technical literacy (you understand APIs, data structures, and engineering constraints) and operational rigor. You don't just identify broken processes; you fix them.

  • User-obsessed: You enjoy talking to the people who will use your tools, understanding their pain, and iterating until it's actually better.

  • Disciplined and systems-oriented: You find satisfaction in order. You are the person who creates the documentation, builds the dashboard, and sets up the automation that prevents future fires.

  • A self-starter: You don't need a perfectly defined path. You need a goal, and you'll figure out the rest.

Requirements

  • Currently enrolled in a bachelor's or master's program (or recently graduated) in Computer Science, Engineering, Data Science, or a related technical field.

  • Strong analytical & technical aptitude – be able to solve problems with technology.

  • Experience working in a multi-stakeholder environment, specifically interfacing between Engineering and Commercial/Field teams.

  • Ability to balance "big picture" strategic work (pricing, analysis) with "in the weeds" execution (data labeling coordination for RLHF, deployment coordination).

Why Join Us?

  • Real ownership of production tools and agents with real users.

  • A view into deployments, GTM, and operations that most engineers never get.

  • Join a world-class team of engineers and builders.

  • Backed by top investors including a16z, Y Combinator, Base10, Prysm Capital and Eurazeo.

  • Ownership and autonomy over projects, and encouragement to ship.

Our Operating Principles


Extreme Ownership

We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us.

 

Craftsmanship

Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching.

 

We are “majos”
Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego.

 

Urgency with Focus
Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy.

 

Talent Density and Meritocracy
Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win.

 

First-Principles Thinking
Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.

 
 
 
 

The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.

By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.

In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.

If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through [email protected] subject to the GDPR.

For more information, visit https://www.happyrobot.ai/privacy-policy

By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

Skills Required

  • Currently enrolled in a bachelor's or master's program, or recently graduated, in Computer Science, Engineering, Data Science, or a related technical field.
  • Strong analytical and technical aptitude with the ability to solve problems using technology.
  • Experience working in a multi-stakeholder environment, interfacing between Engineering and Commercial or Field teams.
  • Ability to balance strategic work, such as pricing and analysis, with hands-on execution, such as RLHF data-labeling coordination and deployment coordination.
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The Company
HQ: San Francisco, California
63 Employees
Year Founded: 2023

What We Do

HappyRobot's AI workers conduct communication-based tasks like emails, messages, or phone calls. Our focus is in logistics and supply chain which means our AI workers are mostly handling the operations of moving freight including sales, track & trace, accounting, and support. These tasks don’t end in a conversation - we’re also extracting valuable data and leveraging that data for things like targeting prospects or understanding pricing and demand in an all-in-one control panel for your business. HappyRobot's platform was built as a developer tool, so although we’re experts in common logistics use cases, any custom workflow can be built. If your team is spending time sending emails or making calls, we can automate that workflow by giving AI access to the right data and good instructions. Backed by a16z and YC, we recently closed our Series A and are scaling rapidly. If you're excited about transforming an industry that represents over 10% of global GDP & impacting the speed & cost of access to goods all over the world, join us!

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