Senior Product Engineer

OpenGov; Boston (MA); Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Work from anywhere

Unlimited vacation

Mission-driven colleagues

World-class healthcare

Professional development

Job summary

OpenGov in Boston seeks a Senior Product Engineer to own OG Assist end-to-end, from discovery with customers through architecture and production code, in an AI-native environment.

You will write, review, and ship production-grade code, guiding UX and product decisions, translating customer insights into the roadmap, and collaborating across product, design, and engineering to deliver high-impact government-focused features.

Qualifications

• 6 to 9 years of experience spanning product ownership and hands-on software engineering.
• Strong proficiency in modern web technologies (TypeScript, React) and AI-native workflows.
• Ability to own projects end to end, provide technical direction, and communicate decisions clearly.

Responsibilities

• Own the OG Assist product end-to-end from discovery to production.
• Write, review, and ship production-grade code and architecture decisions.
• Translate customer insights into roadmap and product decisions.
• Collaborate with PM, design, and engineering to deliver impactful features.
• Define UX flows and implement within the design system.

Skills

Product ownership

Hands-on software engineering

Production-grade code

TypeScript

React

AI-native workflows

Roadmap planning

Tools

Design system

LLMs/AI agents

Job description

• OpenGov 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; escal


• 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 becoming a bottleneck for other engineers


• 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, design system coverage, and platform capability; close the ones you can yourself and surface the rest as investment requests with clear business justification

Benefits

• Work from anywhere


• Unlimited vacation


• Mission-driven colleagues


• World-class healthcare


• Professional development

Experience building with or on top of LLMs or AI agents in production is a strong plus6 to 9 years of experience spanning product ownership and hands-on software engineering, with a track record of shipping production code in a SaaS environmentProficiency in modern web technologies (TypeScript, React) and comfort picking up the specific stack used by OG AssistStrategic mindset: analyzes competitive landscape, market trends, and customer behavior to inform both roadmap and architecture decisionsExcellent written and verbal communication; documents decisions clearly and influences others through structured reasoningFluent in AI-native workflows for both product and engineering work; can identify gaps in AI tooling and articulate platform investment needsDemonstrated ability to own projects end to end, provide technical direction to peers, and keep stakeholders informedStrong engineering fundamentals: comfortable owning a feature from design through implementation, testing, and deploymentComfortable defining UX flows and working within a design system, with the technical range to implement what you designExperience representing products in customer-facing forums (QBRs, discovery sessions, executive reviews)