Note: The job is a remote job and is open to candidates in USA. HubSync builds a platform used by large CPA and advisory firms, with an AI-native engineering approach for reliable tax and accounting software. The Senior Product Engineer will own full-stack product features end to end, from clarifying requirements and implementation through testing, deployment, monitoring, and production support.
Responsibilities
- Own features end to end. From an ambiguous requirement to shipped, tested, and monitored. Not "my part of it": the feature
- Sharpen requirements before you build. Our product owners are genuine tax experts, and part of the job is meeting them halfway: asking the question that turns domain knowledge into a spec, writing the acceptance criteria, and pushing back on a ticket that is not buildable yet. Engineers who need a perfect ticket to start will not enjoy this; engineers who make tickets better will thrive
- Build across the stack. React frontends, TypeScript/Node services, PostgreSQL, event-driven backend work on AWS. You will move to where the feature needs you
- Ship with the tests attached. Unit tests and Playwright end-to-end coverage are part of the definition of done here, not a phase that happens to your code later
- Use AI tooling aggressively. AI coding agents, AI code review, AI-assisted QA. We care about the output: engineers here ship multiples of what the same person shipped three years ago, and we hire for people who want that
- Operate what you ship. Monitoring, incident follow-through, and the fix after the fix
Skills
- 5+ years building and shipping production web software, with real depth on both sides of the stack and several years operating what you built
- A delivery track record you can narrate. You have been the person who made a sprint land: you can tell the story of a specific release, what threatened it, and what you personally did about it
- TypeScript/Node and React, or near equivalents with clear evidence you cross over fast. Solid relational-database instincts (PostgreSQL or equivalent). AWS or comparable cloud experience
- Testing as a habit, not a chore. You write the tests, end-to-end included, because you have been burned by the alternative
- Daily AI-tool leverage. You use AI coding tools as a core part of how you work and can show the difference it makes
- Curiosity about how the customer's work actually works is mandatory
- You write things down. Decisions, acceptance criteria, the reason the estimate moved. Your teammates should never have to reconstruct your reasoning from the diff
- Tax, accounting, fintech, legal, or another regulated space is a plus
Benefits
- Engineers who show they can carry a pod's delivery have a direct path to leading one.
Company Overview