Sr. Product Engineer

• 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.
• 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; escalate 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 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.
• 6 to 9 years of experience spanning product ownership and hands-on software engineering, with a track record of shipping production code in a SaaS environment.
• Strong engineering fundamentals: comfortable owning a feature from design through implementation, testing, and deployment.
• Proficiency in modern web technologies (TypeScript, React) and comfort picking up the specific stack used by OG Assist.
• Experience building with or on top of LLMs or AI agents in production is a strong plus.
• Demonstrated ability to own projects end to end, provide technical direction to peers, and keep stakeholders informed.

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