Product Intern

Location: US | Georgia | Atlanta Department: Product Employment Type: Intern Location Type: On-site

OpenGov is the leader in AI and ERP solutions for local and state governments in the U.S. More than 2,000 cities, counties, state agencies, school districts, and special districts rely on the OpenGov Public Service Platform to operate efficiently, adapt to change, and strengthen the public trust. Category-leading products include enterprise asset management, procurement and contract management, accounting and budgeting, billing and revenue management, permitting and licensing, and transparency and open data. These solutions come together in the OpenGov ERP, allowing public sector organizations to focus on priorities and deliver maximum ROI with every dollar and decision in sync. Learn about OpenGov’s mission to power more effective and accountable government and the vision of high-performance government for every community at OpenGov.com.

About the Role OpenGov is looking for Product Engineer Interns who are eager to learn what it means to own a product — from customer discovery through delivery. This internship is built around a new kind of role born from AI's ability to handle execution work that once required multiple specialists. What AI cannot do is decide what matters, talk to customers, make the right call in ambiguous situations, or own whether a product succeeds. That is what Product Engineers learn to do — and this internship is where that journey starts.

This role is first and foremost about developing product thinking — not becoming a developer. The best interns will be the ones who grow genuinely curious about customers: who they are, what they actually need, and what outcomes depend on solving their problems. The engineering side — using AI-native tooling to write code, build interfaces — is a skill you will be introduced to and encouraged to develop. It is a career accelerator, not a day-one requirement.

If you have a background or strong interest in product management, UX design, engineering, or some combination — and you want real ownership of a problem rather than a slide deck — this internship is for you.

"Product Engineer" is two words — but the first word is the one that matters most. The second is how you get there.

The 10-week internship will run from June 7, 2027 through August 13, 2027.

What You'll Work On

A scoped product problem: a defined set of customers, problems, and outcomes — sized for a 10–12 week engagement with real impact.

Customer discovery: you will conduct or observe customer conversations and translate what you learn into product decisions.

User experience flows: you will define interaction patterns within an existing design system and validate them with users.

AI-assisted delivery: using AI-native tooling, you will move from intent to spec to working prototype — supported by your team, but accountable for the output.

Metrics: you will define what success looks like for your area and track it throughout the internship.

How AI Works in This Role AI-native tooling handles a significant portion of what product managers and designers have historically spent their time on. As an intern, you will be hands-on with these tools from day one:

Spec writing: AI drafts the first spec from your intent statement. You learn to review, sharpen, and own what gets built.

UX design: AI generates mockups from the design system based on your flow definitions. You make the product decisions within it.

Research synthesis: AI clusters and themes interview notes and support data. You interpret what it means and make the call.

Release content: AI generates release notes and enablement materials from shipped features. You review and refine them.

Test coverage: AI generates test cases from acceptance criteria. You learn to write criteria precise enough to verify.

What AI does not do: understand your customers, make the call on what matters, own the outcome, or build the cross-functional trust that makes things ship. That is the job — and what you will be learning.

Key Responsibilities

Participate in customer discovery conversations; synthesize what you hear into defensible product decisions.

Define user experience flows and interaction patterns within the existing design system.

Write intent documents that AI tooling can execute against; review AI-generated specs for accuracy and completeness.

Partner with your engineering and product mentor to resolve ambiguity in real time during the development cycle.

Track adoption and usage metrics for your scoped area; use them to drive iteration.

Present your product area and findings in a final intern showcase — covering the customer problem, what you built, and what you would do next.

Surface gaps, risks, and unanswered questions proactively; don't wait to be asked.

Qualifications & What We're Looking For

Currently pursuing a degree in computer science, information systems, product design, HCI, business, or a closely adjacent field — or equivalent self-directed experience.

Genuine curiosity about customers and why products succeed or fail; you find yourself asking "who is this for and does it actually solve their problem?"

Strong written communication: you can articulate a product decision clearly enough that an engineer and a designer walk away aligned.

Comfort with ambiguity and speed: you make reasonable decisions with incomplete information rather than waiting for certainty.

Willingness to grow into code fluency using AI-native tooling — you don't need to arrive as a developer, but you must be willing to get there.

Prior exposure to product management, UX design, software development, or customer research is a plus — in any form (coursework, projects, prior internships, side work).

Familiarity with design tools (Figma, etc.) or development tooling is welcome but not required.

Compensation Atlanta, GA: $25 per hour

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