Senior Product Engineer

finally

1d•Remote

About The Position

We’re building toward the AI-native back-office for small businesses, autonomous agents that do the work, paired with expert-backed service and a clean, modern surface owners actually want to use. Our AI Ledger, autonomous bookkeeping that closes books in hours instead of weeks, with reporting and P&L statements that are accurate, current, and trustworthy. It's the most strategic bet on the roadmap. We’re a lean, high-trust team. That means less process, fewer layers, and more ownership. Engineers here don’t just ship code; they shape the product, influence decisions, and see their work directly impact customers. We're looking for a Senior Product Engineer who thrives in ambiguity, ships fast, cares deeply about building reliable, well-crafted systems, and works AI-first by default. You’ll work across the stack to design and build core financial workflows, from backend systems and APIs to the user-facing experiences that make them usable. You’ll play a key role in shaping our architecture, product direction, and how we operate as an engineering team. You’ll ship faster than a 2025 engineer, by steering AI to do most of the implementation while you focus on judgment, decomposition, and verification. You know what good looks like! This is a hands-on role with real ownership with direct report to the CTO. You’ll be trusted to make decisions, not just execute.

Requirements

7+ years shipping production software, with at least 3 years in modern web stacks (React, TypeScript, Node, Python)
Demonstrable AI-augmented engineering chops. You've actually shipped meaningful work with Claude Code / Cursor / Codex at the wheel, and can articulate what you delegate vs. what you own
A track record of shipping at startup pace, with strong opinions about scope, sequence, and what's worth building
Comfort working across the stack, including infrastructure and data layers
Experience with cloud platforms (AWS, GCP, or similar)
Strong product instincts. You think about user impact, not just implementation
Ability to operate independently and make sound decisions in a fast-moving, low-structure environment
Clear communicator who collaborates well across disciplines

Nice To Haves

Backend depth - Postgres, async workers, agent orchestration patterns, LLM API integration
Prior FinTech, accounting, or expense management product experience
Familiarity with third-party financial APIs (e.g., Stripe, Plaid, QBO)
Exposure to security, compliance, or regulated environments (SOC 2, PCI, etc.)
Design system contribution - you've shipped tokens and components, not just consumed them
Open-source presence or public AI-engineering writing

Responsibilities

Own and ship full-stack features end-to-end, from shaping early ideas to delivering production systems used by customers daily
Build complex, data-dense interfaces — review queues, journal entry editors, reconciliation workflows, agent-state visualization, financial reports — that don't break under real customer data
Use AI tooling as your primary mode of writing code - Claude Code, Codex, or equivalent. AI does most of the implementation work under your direction; you own architecture, decomposition, verification, and review. Push back when AI gets it wrong — taste and judgment are why you're here, not raw typing speed.
Architect backend services and APIs that handle sensitive financial data with high standards for performance, security, and data integrity
Build clean, fast, and intuitive frontend experiences that translate complex financial concepts into simple user workflows
Make pragmatic technical decisions balancing speed, quality, and long-term maintainability without over-engineering
Debug and resolve production issues across the stack; improve observability and system resilience over time
Identify and address performance bottlenecks, scaling challenges, and areas of technical debt
Collaborate closely with product and design to shape roadmap and deliver meaningful user outcomes
Help define how we build by contributing to code quality, architecture decisions, and team practices
Mentor other engineers and raise the bar through thoughtful feedback and hands-on support