About DualEntry

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.

Why This Role Matters Now

Where you'll create impact

• 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

What sets you up for success

• 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