Product Operations Engineer, Intern

HappyRobot

. Design, deploy, and monitor AI agents that automate recurring operational workstreams end to end .

Posted 10/7/2026internshipSan Francisco • California • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical and technical aptitude with the ability to design and deploy AI agents, build internal applications, and collaborate effectively across cross-functional teams. Proficient in understanding APIs, data structures, and engineering constraints while balancing strategic and execution-focused tasks.

Highest-signal resume keywords

AI Agent DesignData Pipeline DevelopmentAPI UnderstandingCross-Functional CollaborationTechnical Enablement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data StructuresProblem SolvingTechnical AptitudeDeployment CoordinationData Labeling Coordination

Soft Skills

Analytical ThinkingCollaborationCommunication

Industry Keywords

Go-To-MarketProduct-Led SalesOperational WorkstreamsFeature PricingMulti-Stakeholder Environment

Tech Stack

Tools & technologies

About the role

Key responsibilities & impact

Design, deploy, and monitor AI agents that automate recurring operational workstreams end to end
Design, build, and ship internal applications for deployment tracking, release and feature-enablement workflows, field feedback intake, and labeling operations management
Build cross-functional agentic workflows, data pipelines, and integrations
Partner with Go-To-Market teams on technical enablement and Product-Led Sales motions
Refine feature pricing structures and communicate the technical reality and value of shipped products
Work directly with the CTO and Head of Product
Collaborate with users and experts across Product, Engineering, Deployments, Go-To-Market, and Operations

Requirements

What you’ll need

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)
Understand APIs, data structures, and engineering constraints
Experience or ability to work across Product, Engineering, Deployments, Go-To-Market, and Operations
Mandatory submission of a 1-minute video describing the time you most successfully hacked into a non-computer system for personal benefit

Benefits

Comp & perks

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