Forward Deployed Engineer Intern – HR Technology

Coinbase

. Own a project end-to-end, from defining the problem and scope with HR stakeholders through designing, building, testing, and delivering production-ready software .

Posted 10/9/2026internshipNew York City • New York • United StatesEntry Level💰 $50 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and delivering production-ready software solutions, with a focus on AI-powered workflows and user experience. Capable of managing projects from inception to completion while ensuring quality, security, and effective communication with stakeholders.

Highest-signal resume keywords

Software DevelopmentAI-Powered PrototypesAPI IntegrationsData ModelingUser Interface Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringDebuggingBuilding ApplicationsTesting SoftwarePrototypingData ModelingAPI IntegrationApplication LogicUser Interface DesignGenerative AI

Soft Skills

CommunicationProblem-SolvingCollaborationTime ManagementTrade-Off Analysis

Tools & Technologies

Large Language ModelsAI WorkflowsCustom ApplicationsIntegrations

Industry Keywords

HR ProcessesEmployee ExperienceUser JourneysSuccess MetricsFeedback Gathering

About the role

Key responsibilities & impact

Own a project end-to-end, from defining the problem and scope with HR stakeholders through designing, building, testing, and delivering production-ready software
Build custom applications, integrations, and AI-powered workflows that automate manual HR processes and improve the employee experience
Take solutions from prototype to production with appropriate quality checks and human oversight
Make technical decisions across data modeling, API integrations, application logic, and user interfaces
Balance speed, maintainability, and security
Partner directly with internal customers to understand needs, map user journeys, and prioritize the roadmap based on expected impact
Define success metrics, gather user feedback, and use evidence such as time saved, error reduction, and adoption rates to guide iterations and communicate outcomes

Requirements

What you’ll need

Currently pursuing a degree in Computer Science, Software Engineering, or a related technical field, or equivalent hands-on engineering experience
Demonstrated ability to build, test, debug, and ship software through academic projects, hackathons, or prior internships
Ability to explain the technical choices behind software work
Hands-on experience building AI-powered prototypes or workflows using tools such as large language models
Ability to validate generated outputs, protect sensitive information, and recognize when human review is needed
Ability to take a scoped project through delivery by breaking ambiguous needs into achievable milestones
Ability to communicate trade-offs to technical and nontechnical partners
Ability to deliver against a deadline
Responsible use of generative AI with human oversight
Maximum of 3 applications within a 6-month period

Benefits

Comp & perks

Quarterly in-person working sessions called “surges”
Reasonable accommodations available for applicants with disabilities
Free compatible screen reader available for applicants who need screen-reading technology