Overview

Every AI agent in Prism needs two things to do real work: an accurate, shared picture of how a customers business fits together, and a safe way to read from and write back to it. The Prism Platform is that shared foundation, a knowledge layer that describes a customers business objects and rules, a common way of representing data across different underlying ERP systems, and a structured, per-customer record that carries context cleanly from one part of the system to another. You own how that foundation evolves: what gets modeled, how its exposed to the teams and agents that depend on it, and how it gets more accurate and more useful the more its used.

This is a product role at the center of the platform, not on top of it. You will work with the teams building specific AI products and workflows to make sure they get what they need from the platform, and with the engineers building the platform itself to decide what gets prioritized next.

What We d Love to See

- Empathy for two different customers. Real understanding of the end customer whose business data and context flow through the platform, and of the engineering and product teams deciding whether to build on it or work around it. You validate both before committing to a build.

- A platform mindset. You think about ease of adoption, reusable building blocks, and how many teams choose to build on your system the way a valuable platform product manager thinks about retention, not the way a feature team thinks about a single roadmap.

- Working Backwards Demonstrates mastery of customer empathy, working backwards from customer pain points to validate the customer problems, ideal customer profiles, and value propositions.





- Founder Mode Mindset Demonstrates an entrepreneurial spirit by taking full ownership, embracing creative problem-solving, and relentlessly challenging the status quo to drive innovation and continuous improvement.

- Prototyping Pro Quickly generates prototypes to get early feedback from internal stakeholders and customers.

- Strategic Direction Prioritization Lead the orchestration of strategic direction and set priorities for our AI applications and functionalities. Define the vision and roadmap that drive innovation in AI-driven products.

Duties Responsibilities

- Own the platform vision and roadmap. Decide what gets modeled, exposed, and improved next, and keep the roadmap tied to real demand from the teams and products building on it, not to technical completeness for its own sake.

- Own how business context is represented. Define what a customers business objects, rules, and data look like in a common, structured way, so every team and agent that reads from the platform gets the same, accurate picture regardless of which underlying ERP a customer runs.

- Own the per-customer context record. Own the structured record that carries a customers context cleanly from one part of the system to another, so nothing gets lost as work moves between different Prism products.





- Own the read and write-back loop. Decide what agents and workflows are allowed to write back into the platform as they learn, and how that gets validated, so the foundation improves with use instead of drifting.

- Own the connection to the ERP. Own how the platform exposes ERP data and business logic to the rest of Prism in a consistent way, so other teams build against one clean interface instead of many inconsistent ones.

- Own the catalog of whats built on the platform. Own the system that keeps track of which agents, workflows, and tools exist, what theyre allowed to touch, and whos using them, so the platform stays legible as more gets built on it.

- Partner across every team that builds on Prism. Work with the Workflow Engine team and the other Prism product teams to make sure the platform gives them what they need, and prioritize the roadmap around real, cross-team demand rather than any single teams request.

- Partner on identity, security, and governance. Work with the identity and security teams so that access to business data and context is scoped correctly as more agents and teams build on the platform.

- Stay current and avoid duplicated effort. Stay current on how other companies are approaching knowledge graphs, data platforms, and grounding for AI agents, and fold whats useful into the roadmap so the platform keeps improving instead

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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