Product Engineer

opengov; United States; On-site; USD 80,000 - 120,000; Full time

Job summary

OpenGov is seeking a Product Engineer II to own a growing product area with cross-functional exposure. You will guide discovery, roadmap input, and delivery, using AI-assisted tooling to accelerate outcomes for customers.

You will review AI-generated specs, define flow patterns within the design system, and collaborate with engineering to ensure quality and timely releases. Strong communication and customer discovery experience are essential.

Qualifications

• 2-4 years of experience in product management, software engineering, or a closely adjacent technical role.
• Experience contributing to cross-functional engineering projects with awareness of system architecture and goals.
• Experience conducting customer or stakeholder interviews and translating requirements into actionable specs.

Responsibilities

• Define and communicate the product vision for your area, grounded in customer research and business goals.
• Own the product roadmap: prioritize ruthlessly and revise as needed.
• Define user experience flows within the design system and elevate when new patterns are required.
• Write clear intent documents for AI tooling and review AI-generated specs for accuracy.
• Partner with engineering to unblock builds and resolve ambiguity in real time.
• Track adoption, usage, and business outcomes to drive next iterations.

Skills

Cross-functional

Roadmapping

Customer interviews

AI tooling

Documentation

Communication

Tools

AI tooling

Job description

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 O penGov.com .

About the Role

OpenGov is seeking a Product Engineer II to take on increasing ownership of a product area with cross-functional exposure. This role is for developing practitioners who can contribute to discovery, roadmap input, and delivery with general direction from a lead, while growing their ability to operate independently. AI-native tooling accelerates execution - your job is to direct it toward the right outcomes for customers.

How AI Works in This Role

• Spec writing: AI drafts the first spec from your intent statement. You review, sharpen, and own what gets built.
• UX design: AI generates mockups from the design system based on your flow definitions. Experience Architects maintain the system itself. You make the product decisions within it.
• Research synthesis: AI clusters and themes interview notes, call transcripts, and support data. You interpret what it means for the roadmap and make the call.
• Release content: AI generates release notes, in-app announcements, and enablement materials from your shipped features.
• Code review: Automated review catches style, security, and regression issues. You stay accountable for quality outcomes - not the review queue.
• Test coverage: AI generates test cases from the acceptance criteria you write. Your job is to write criteria that are precise enough to verify.
• Competitive intelligence: AI monitors competitor moves and surfaces market signals. You form the point of view and decide what it means for your roadmap.

What AI does not do

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.

What You'll Own

• Define and communicate the product vision for your area - grounded in customer research, competitive context, and business goals; not inherited from committee.
• Conduct and synthesize customer discovery: translate what you hear into clear, defensible decisions about what to build and what to cut.
• Own the product roadmap: prioritize ruthlessly, explain your reasoning publicly, and revise it when new facts warrant it.
• Define user experience flows and interaction patterns within the design system; elevate to Experience Architects when genuinely new system-level patterns are required.
• Write clear intent documents that AI tooling can execute against; review and own AI-generated specs for accuracy, completeness, and correctness.
• Partner with engineering to unblock builds, resolve ambiguity in real time, and make decisions during the development cycle without becoming a bottleneck.
• Track adoption, usage, and business outcome metrics; use them to drive the next iteration, not just to report status.
• Represent your product in customer conversations, QBRs, and cross-functional reviews - the full commercial picture, not just the feature set.
• Identify gaps in AI harnesses and design system coverage; surface them as platform investment requests with clear business justification.

Qualifications & Preferred Experience

• 2-4 years of experience in product management, software engineering, or a closely adjacent technical role.
• Ability to contribute to and navigate cross-functional engineering projects, with awareness of how your work connects to system architecture and broader team goals.
• Experience conducting customer or stakeholder interviews, or translating technical requirements and user research into actionable engineering specs.
• Solid written and verbal communication; can explain technical tradeoffs clearly, provide project updates, and incorporate feedback at key milestones.
• Adapts to changing priorities and demonstrates a track record of shipping reliably.
• Developing comfort with AI-assisted development workflows (e.g., AI-assisted coding, code review, or testing tools); willingness to become proficient is required.
• Familiarity with design systems, component-based architecture, or API/data modeling is a plus.
• Experience wi