AI Product Manager — Fintech ERP & AI Workflows

DualEntry; United States; On-site; USD 220,000 - 280,000; Full time

Benefits offered by this job

Equity ownership

Base salary in top range

Medical, dental & vision insurance

One Medical membership

Mental health support

Job summary

DualEntry is building the OS for finance. We’re seeking an experienced Product Manager to own a major product area and drive high-impact, data-driven outcomes in an AI-native ERP context.

You’ll own end-to-end responsibilities, partnering with engineering, design, and business stakeholders to ship reliable, scalable AI-enabled features and improve the product’s impact on customers and the business.

Qualifications

• 8+ years of product management experience, ideally in B2B SaaS.
• Experience applying AI/ML to real product workflows, including shipping AI features.
• Clear, direct communicator across multiple teams and stakeholders.

Responsibilities

• Set the strategy and multi-quarter roadmap for a major product area.
• Own complex technical areas end-to-end: agents, ML, and the LLM-vs-deterministic trade-off.
• Ingest data from dozens of systems and create bidirectional workflows.
• Build evals system ensuring reliability and accuracy in production.
• Drive ambiguous bets from problem framing through launch and iteration.
• Hold area accountable to measurable business results (retention, activation, expansion).
• Partner with engineering and design leadership on architecture and trade-offs across teams.
• Improve internal processes and tooling to help the team ship faster.

Skills

AI/ML product workflows

Ownership & leadership

Cross-team communication

High pace execution

Strong work ethic

Education

MBA (advantage)

Technical background (CS/engineering)

Tools

LangChain

CrewAI

Claude

Codex

Cursor

Job description

DualEntry is building the OS for finance. We’re seeking an experienced Product Manager to own a major product area and drive high-impact, data-driven outcomes in an AI-native ERP context.

You’ll own end-to-end responsibilities, partnering with engineering, design, and business stakeholders to ship reliable, scalable AI-enabled features and improve the product’s impact on customers and the business.