Senior Product Manager, Accounting

DualEntry•,

6d•$220,000 - $280,000•Onsite

About The Position

DualEntry is building the OS for finance. Every business needs a financial system of record, yet the world's largest fintech market ($220B+) still runs on software from the 1990s. DualEntry's AI-native ERP automates accounting from data entry to close, so finance teams move faster, spend less and incur less risk. In just 2 years we've raised $100M+ from Lightspeed, Khosla Ventures, Contrary and Google Ventures and earned the trust of customers from $5M ARR to publicly traded companies. We hire outliers - people who have achieved difficult things, in their careers or beyond. You'll find leaders, colleagues who've competed at the highest levels of sport, performed on Broadway, trained with UFC champions and founded the country’s largest Python community.

Requirements

Hardcore work ethic and high agency
8+ years of product management experience, ideally in B2B SaaS
A track record of owning a product area or line and driving measurable business outcomes, not just shipping features
High agency and strong ownership: you set direction in ambiguity and drive it without waiting to be told
Deep experience applying AI/ML to real product workflows, including shipping LLM-powered or agentic features to production and reasoning about evals, failure modes, and trade-offs
A clear, direct communicator who creates alignment across multiple teams and senior stakeholders
Excited to work in person with an ambitious, fast-moving team

Nice To Haves

CPA, ACA, or equivalent accounting qualification, or hands-on experience in audit or a controllership function
Accounting, ERP, or fintech domain experience
Hands-on building with agentic frameworks (e.g., LangChain, CrewAI) and daily use of AI coding/assistant tools (e.g., Claude, Codex, Cursor)
An MBA and/or experience working with business stakeholders (e.g., Sales, Revenue)

Responsibilities

Set the strategy and multi-quarter roadmap for a major product area and create the clarity that other PMs and teams execute against
Own complex technical areas end to end: agents, ML, and the LLM-vs-deterministic trade-off
Work out how we ingest data from dozens of systems, keep it synchronized, and create bi-directional workflows
Build the evals system that makes reliability and accuracy first-class outcomes - your agents post to a real ledger
Drive ambiguous, high-impact bets from first principles, from problem framing through launch and iteration
Hold the area accountable to measurable business results (retention, activation, expansion), not just shipped features
Partner closely with engineering and design leadership on architecture and technical trade-offs that span multiple teams
Improve the internal processes, tooling, and operating model that help the whole team ship fast