You will work across product, design, engineering, and implementation. Some days that means mapping how tax packages move through a firm. Other days it means building a review workflow, designing an agent loop, tightening data models, or debugging why a customer workflow failed in production.
This is a
product engineering role for someone who wants to build the system, not just spec it. You will turn what we learn from firms into durable product: interfaces, automations, review loops, workflow primitives, data models, and agent behavior that work across customers.
The client is vertically integrated across software, AI agents, and managed back-office operations. That makes the problems unusually concrete: if the product is wrong, the work breaks. If the product is right, firms can take on more clients without adding headcount.
What You Will Do- Own core product workflows for tax prep, tax review, bookkeeping, client requests, and practice-management operations.
- Design and build product abstractions that turn messy accounting work into repeatable, reviewable systems.
- Use the client's internal agent platform to move from product context to working software quickly, then inspect the result until it is right.
- Build interfaces, workflow states, data models, and agent behavior that hold up in live customer usage.
- Codify repeatable patterns from customer deployments back into the main product.
- Use the product yourself, inspect logs and data when needed, notice what is wrong, and push until the details are right.
What You Will Do in Your First 30 Days- Learn how CPA firms move work from source documents to reviewed tax packages, books, and client follow-ups.
- Shadow existing client workflows and identify places where better product behavior would remove real manual work.
- Pick workflows and turn them into a concrete product plan: inputs, user-facing states, edge cases, success criteria, and verification steps.
- Drive an AI-agent implementation loop from product plan to working feature.
- Test the workflow yourself against real or realistic data, fix the rough edges, and help ship it into a live customer or internal operator workflow.
Who We Are Looking For- You have strong programming skills and have shipped production applications, serious internal tools, or customer-facing automation.
- You have high agency and can navigate ambiguity in messy customer environments where the problem is not handed to you cleanly.
- You have an ownership mentality and are willing to do whatever it takes to make something work.
- You have good communication skills to explain technical tradeoffs and earn trust with non-technical stakeholders.
- You are comfortable using AI coding agents as your main implementation tool and holding their output to a high bar.
Skills- AI Agents
- React
- Swift
- TypeScript
- Docker
- PostgreSQL
Bonus Points- Experience in accounting, finance, tax, audit, professional services, or another workflow-heavy enterprise vertical.
- Previous founder experience or meaningful ownership at an early-stage startup.
Compensation- Base Salary: $150,000-$225,000
- Equity: 0.25%-1.00% equity
About the InterviewTheir process is lightweight, practical, and tied directly to the actual work:
- Intro conversation about your background and what you have built.
- Practical product/workflow exercise using a real or realistic back-office workflow.
- Founder conversation focused on taste, pace, customer empathy, and how you work with AI agents.
