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At TaxDome, we’re building the #1 practice management platform for accounting firms in the US and globally. Founded in 2017, we’ve grown into a 400+ fully remote team across 40+ countries, serving tens of thousands of businesses worldwide with millions of end clients.
You’ll be part of a globally distributed team built on trust, ownership, and self-management.
We focus on outcomes over activity - prioritizing clear ownership, pragmatic decision-making, and accountability for results over rigid processes. Collaboration is central to how we operate: we communicate openly, involve the right people early, and continuously improve how we build products and teams together.
TaxDome is pivoting from a traditional SaaS to an AI-first engineering organization. We aren't just adding AI features, we are rebuilding our DNA to prioritize agentic workflows, LLM-orchestration, and automated intelligence at the core of our tech stack.
We’re looking for a Staff-level product engineer to own an autonomous domain end to end. This is an individual-contributor role - no direct reports - but you lead the technical direction of your domain and organize the people and the work around it. The foundation is strong software engineering: you reason about distributed systems, data integrity, and trade-offs from experience - that’s the bar. On top of that you work AI-first, using AI throughout to build, test, and ship. You own the roadmap and stay hands-on across the whole lifecycle of your domain.
It’s a fully remote role, we are hiring across European timezones.
Own a domain end to end
Domain ownership: Own a product domain - tied to one of the company's key initiatives - from problem to production. Set the roadmap, make the technical calls, and carry accountability for stability and delivery, with no hand-offs.
Fast delivery: Move from idea to production quickly, using AI to cut the cost of specs, tests, and docs.
Work AI-first
AI in the daily loop: Use AI tools to write and refactor code, generate tests and specs, and debug.
A repeatable process: Build a working process around AI and keep improving it, rather than one-off prompting.
Quality gate: Review AI output against sound engineering judgment, catch what's wrong, and keep "AI slop" out of production.
Lead the technical work
Scope and unblock: Take ambiguous problems, align the people involved, and clear blockers without being asked.
Set the standards: Define the engineering standards for your domain, including how and where to integrate LLMs when they fit - prompt handling, output validation, cost.
Hold the bar: Keep code tested, maintainable, and properly reviewed. AI speeds the work up; it doesn't lower the standard for what ships.
Ship and iterate: Release a v1 and improve it from there.
Staff-level software engineering: you reason about distributed systems, data integrity, and trade-offs from experience.
Strong full-stack expertise across modern web ecosystems.
A track record of shipping and owning production systems, and/or your own projects, in high-accountability environments.
Product-owner mindset: you turn ambiguous requirements into a clear, prioritized roadmap without middle-management alignment.
Multi-tenant reasoning: tenancy isolation, idempotency, consistency in long-running workflow state, partial failure. You've been bitten by at least one of these.
Strong English communication skills.
AI-first way of working
AI is part of your daily development loop - you're fluent with modern AI coding tools and pick what fits the task instead of being tied to one vendor.
Comfortable with prompt engineering and working with LLM APIs.
You read model output critically: validate it, catch errors, and keep "AI slop" out of production.
Good sense of when AI helps and when to fall back on your own engineering judgment.
You work in an agentic loop, not a chat window. You've run coding agents against real codebases with structure around them - spec-driven harnesses (GitHub Spec Kit or similar), multi-agent orchestration (Gas Town-style), custom scaffolding - and you can explain what you had to change in the codebase to make agents effective, not just which tool you picked.
Nice to have
Experience building agentic or MCP-based features - useful, not required.
At TaxDome, we aim to create an environment where people can do their best work and grow alongside the company.
Competitive compensation, paid in USD, transparently shared before the first interview
Fully remote work with flexible hours
30 paid days off annually, plus sick days as needed
Health & well-being support
Learning & development budget to support your professional growth
English lessons reimbursement
Co-working space reimbursement
Company-provided equipment (conditions may vary depending on the role)
A high level of autonomy and ownership in your work
The opportunity to make a real impact in a fast-growing global SaaS company
A collaborative, international team with a strong product mindset
Upon successful completion of the interview process and acceptance of the offer to join, an employment verification check will be conducted as part of pre-boarding - confirming job titles and dates of engagement with 2 of your previous employers. This is a required step for all new joiners.
If you’re excited about this opportunity and believe you could make an impact at TaxDome, we’d love to hear from you.
Published on: 8/7/2026
TaxDome
We are creating a SaaS-platform that helps our customers to grow their business around the world. Our platform allows small and medium-sized businesses dealing with taxes, finance and accounting, to automate workflows.
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