Senior AI Product Manager

DualEntry•,

19h•$220,000 - $280,000•Onsite

About The Position

DualEntry is building an AI-native ERP to automate accounting, from data entry through close. The Senior AI Product Manager will own Accounting Intelligence and the AI platform end to end, including its agent framework, retrieval, and shared AI services. The role will build evaluation systems that make accuracy measurable and traceable, shape product opportunities such as CFO insights and customer-configurable agents, and set the roadmap with the pod’s technical lead while owning outcomes including retention, activation, and expansion. The Product Manager will partner with engineering and design leadership on architecture and cross-team technical trade-offs, improve team processes and tooling, and speak with customers weekly. The role is based in a collaborative, in-office culture with high expectations and an emphasis on fast, trusted execution.

Requirements

At least 6 years of product experience, ideally in B2B SaaS, with ownership of a product area and measurable results.
Experience shipping LLM or agentic features to external customers in production.
Experience designing evaluations and determining whether AI is working effectively.
Ability to work below the user interface, including understanding data models, pipelines, and where models fit.
Experience building in a domain where incorrect answers have consequences, such as fintech, payments, healthcare, or legal.
Hands-on builder who prototypes, writes specifications, and works closely with engineers.
Clear, direct communication skills.
Excitement about working in person with an ambitious, fast-moving team.

Nice To Haves

Hands-on experience building with agentic frameworks such as LangChain or CrewAI and regular use of AI coding or assistant tools such as Claude, Codex, or Cursor.
Accounting, ERP, or fintech domain experience.
An MBA and/or experience working with business stakeholders such as Sales or Revenue.
A technical background in computer science or engineering.

Responsibilities

Own Accounting Intelligence and the AI platform end to end, including the agent framework, retrieval, and shared AI services.
Build an evaluation system for accuracy, including golden sets, regression checks, and source traceability for outputs.
Shape product opportunities such as CFO insights and agents that customers can configure themselves.
Set the roadmap with the pod’s tech lead and own outcomes such as retention, activation, and expansion.
Partner with engineering and design leadership on architecture and technical trade-offs spanning multiple teams.
Improve internal processes, tooling, and operating models to help the team ship quickly.
Talk to customers weekly, including API power users and Excel-native controllers.
Prototype, write specifications, and work side by side with engineers.

Benefits

Significant equity ownership.
Medical, dental, and vision insurance.
One Medical membership.
Mental health support through Talkspace.
Fertility and family-building support through Kindbody.
Virtual healthcare through Teladoc Health.
401(k) benefits.
Commuter benefits.
Learning and development budget for courses, certifications, and language learning.
Unlimited AI tokens.
AI skills development and enablement.
Flexible PTO (27 days, including public holidays).
Collaborative in-office culture with no bureaucracy.
Snacks, drinks, and team events.