AI-Driven Fintech ERP Product Manager

DualEntry

United States

On-site

USD 190,000 - 280,000

Full time

14 days+
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Benefits offered by this job

Equity
401(k)
Medical insurance
Mental health support
Relocation to New York
Unlimited AI tokens
Learning & development budget
Visa sponsorship

Job summary

DualEntry is seeking a Senior Product Manager to lead a major product area in an AI-native ERP context. You will own strategy, roadmap, and end-to-end delivery of data ingestion, agents, and ML features, while driving business outcomes.

You will partner with engineering and design to optimize architecture, evals, and reliability across multiple teams in a fast-paced, in-person NYC-focused environment.

Qualifications

  • 5+ years of product management experience in B2B SaaS.
  • Track record owning a product area and driving measurable business outcomes.
  • Deep experience applying AI/ML to real product workflows including shipping LLM-powered or agentic features.
  • Clear, direct communicator across multiple teams and senior stakeholders.

Responsibilities

  • Set strategy and multi-quarter roadmap for a major product area.
  • Own complex technical areas end to end: agents, ML, and LLM trade-offs.
  • Ingest data from dozens of systems and create bi-directional workflows.
  • Build evals system to ensure reliability and accuracy with real ledger postings.
  • Drive bets from framing to launch and iteration with measurable results.
  • Partner with engineering and design on architecture and trade-offs across teams.

Skills

Product management
AI/ML in products
Leadership
Communication
Ownership

Education

CS or Engineering degree

Tools

LangChain
CrewAI
Claude
Codex
Cursor

Job description

DualEntry is seeking a Senior Product Manager to lead a major product area in an AI-native ERP context. You will own strategy, roadmap, and end-to-end delivery of data ingestion, agents, and ML features, while driving business outcomes.

You will partner with engineering and design to optimize architecture, evals, and reliability across multiple teams in a fast-paced, in-person NYC-focused environment.

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