Sr. Product Engineer

Open Gov 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 Open Gov 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 Open Gov ERP, allowing public sector organizations to focus on priorities and deliver maximum ROI with every dollar and decision in sync. Learn about Open Gov's mission to power more effective and accountable government and the vision of high-performance government for every community at

Open Gov is seeking a Senior Product Engineer to drive growth and expansion of OG Assist, our flagship AI assistant platform built specifically for governments. This is a hands-on technical role for an experienced practitioner who owns outcomes end to end: from discovery and iteration with customers, through architecture and implementation, to shipping production code on the platform. You operate comfortably in a fast-paced, AI-native environment, and you lead by example, both in the quality of your product thinking and the code you write, as you deliver impact for our customers.

This role carries direct engineering impact, you are expected to write, review, and ship code yourself, not only partner with engineering to unblock others.

AI-native tooling handles a significant portion of what product managers, UX designers, and engineers have historically spent their time on. That time is yours to redirect toward higher-leverage work. Specifically:

• Building with customers: AI drafts the first spec from your intent statement and intuition. You review, sharpen, own what gets built, then build it.
• 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 and implement the resulting experience.
• 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.
• Implementation: AI-assisted coding tools scaffold boilerplate, generate first-pass implementations, and accelerate routine work. You own architecture, correctness, and production quality, the parts AI cannot be trusted with.
• 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 precise enough to verify, and to write the tests AI can’t.
• 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: understand your customers, make the call on what matters, own the outcome, write production-grade code unsupervised, or build the cross-functional trust that makes things ship. That is the job.

• Refine and communicate the product vision for OG Assist, 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.
• Design and build features end to end: architect solutions, write production code, and ship to customers. You are a primary contributor to the codebase, not just its client.
• Define user experience flows and interaction patterns within the design system, then implement them; elevate to Experience Architects only when genuinely new system-level patterns are required.
• Write clear intent documents that AI tooling can execute against; review and own both AI-generated specs and AI-generated code for accuracy, completeness, and correctness.
• Set technical direction within your area: make build-vs-buy calls, evaluate tradeoffs, and resolve ambiguity in real time during development without…