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AI Product Manager

Role overview

Responsibilities

  • Increase invoice automation: grow the share of invoices entered fully automatically to a target of 70%.
  • Reduce recognition errors: bring down mismatch rates, currently 7% on the US server and 3% on COM.
  • Automate custom recognition prompts, building logic that adapts invoice recognition to individual customers' requirements based on their support tickets.
  • Launch 5 core agents: Intake, Purchasing, Matching, Payments, and Data Enrichment.

Key facts

Hard skills

About the company

Precoro logo

Precoro

Computer Software / SaaS

Precoro is a cloud-based solution for procurement and AP automation. We empower companies from more than 80 countries (USA, UK, Europe, and Asia) to transform their purchasing experience, increase business efficiency with digitization, and simplify complex day-to-day operations. Precoro provides procurement and finance managers with the ability to replace paperwork, centralize purchasing, improve spending visibility, and prevent human factor mistakes. We're breaking the stereotype that purchasing software is expensive, hard to implement, and unfriendly to users. With Precoro, companies discover how easy procurement can be. No matter what business area or size they are related to.

Company details

Company typeScaleup
IndustryComputer Software / SaaS
Company size51 - 200

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Job description

We're looking for a Product Manager to own AI-driven automation across two connected areas of Precoro's product: Accounts Payable automation and our new generation of AI agents for procurement document processing.

This is a hands-on, high-ownership role for someone who has already taken AI features from idea to production and wants to do it again at scale — across thousands of real customer documents every month.

What you'll do (responsibilities)

Accounts Payable Automation

  • Increase invoice automation: grow the share of invoices entered fully automatically to a target of 70%.

  • Reduce recognition errors: bring down mismatch rates, currently 7% on the US server and 3% on COM.

  • Automate custom recognition prompts, building logic that adapts invoice recognition to individual customers' requirements based on their support tickets.

  • Grow key adoption metrics: AP Automation adoption among customers who purchased the tariff plan but aren't yet using it fully, and AP awareness among users who haven't experienced the automated flow at all.

AI Agents (Document Intelligence)

  • Launch 5 core agents: Intake (creates the purchase request for the user — all they provide is the ask), Purchasing, Matching, Payments, and Data Enrichment.

  • Drive agent adoption, embedding them into customers' real procurement processes rather than leaving them as optional features.

  • Drive MCP (Model Context Protocol) adoption across the product.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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