> Markdown version of [/jobs/ext/4522812-product-manager-erp](https://www.wearedevelopers.com/jobs/ext/4522812-product-manager-erp). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Product Manager (ERP)

- **Company:** Unanet, Inc.
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $109,650 - $129,000
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Cursor, Information Retrieval, Software Product Management, Data Streaming, Large Language Models, Claude Code, Multi-Agent Systems, Prompt Engineering, Agentic-AI
- **Published:** November 1, 2026
- **Apply:** https://startup.jobs/product-manager-erp-unanet-10641218

## About the Role

* 3+ years of software product management experience
 * Previous accountancy experience or experience building ERP or accounting software for AEC customers
 * Proven success operating as the product lead within a tightly embedded, cross-functional delivery model
 * Experience operating in a hyper-agile or AI-accelerated product development environment
 * Strong experience turning customer and market insight into actionable requirements, prototypes, and launch-ready product capabilities
 * Experience supporting a major product launch and then scaling the product through post-launch learning, adoption, and iteration
 * Demonstrated ability to understand data models and information retrieval methods and ask the right questions to extract value from data
 * Proficiency using analytics to inform product and business decisions
 * Comfortable working with technical architecture and mapping data flows
 * Strong planning, execution, product delivery, and stakeholder communication skills
 * Collaborative, self-organized, accountable, and driven to deliver high-quality products
 * Familiarity with AI ethics and responsible AI practices, including fairness, transparency, and accountability
 * Ability and willingness to travel to customer and/or partner sites, conferences, and other field events, * Accounting or finance background, including CPA certification (preferred)
 * Hands-on experience with agentic workflows, prompt engineering, LLM orchestration, and AI-assisted authoring of product requirements or prototypes
 * Experience designing or shaping agentic workflows, LLM-powered experiences, or other AI-assisted product capabilities
 * Fluency with modern AI product-development tooling such as Cursor, Glean, Claude Code, Replit, and MCP-connected workflows

## Description

* Own the Product role within a cross-functional pod spanning Product, Development, UX, QA, and SMEs, leading the problem-to-PRD loop for a defined product domain from framing and intent through prototyping, execution, validation, and post-launch learning
 * Operate in a hyper-agile development cycle where Product and Development work in fusion, moving rapidly from problem framing and PRD development to prototypes, shipped capabilities, and iteration based on customer outcomes
 * Drive AI-assisted product development through multi-agent workflows, rapid iteration, and clear quality review
 * Build and maintain the product context layer for your domain, including skills, agent prompts, and a strategy that brings together jobs-to-be-done, competitive positioning, institutional knowledge, and moat context, as the grounding layer for AI-assisted execution
 * Own and influence a problem-oriented roadmap defined around customer outcomes and strategic bets rather than a feature list, and prioritize the workflows and opportunities that matter most
 * Translate customer and market insight into clear product requirements, prototypes, and launch-ready deliverables
 * Develop a deep understanding of user personas across a multi-product business and use that understanding to collaborate with internal and external stakeholders
 * Stay up to date on competitive and market developments across AEC and adjacent markets to inform roadmap, positioning, and moat-building decisions
 * Help define success metrics, evaluation approaches, and feedback loops for LLM- and agent-driven experiences within your pod, including human-in-the-loop validation
 * Support training, beta, and pilot programs for early-stage products and features, then drive adoption, learning, and iteration after launch
 * Own your domain and communicate with clarity and strong storytelling to influence decisions and align technical and non-technical stakeholders
 * Help evolve how Product operates in an AI-first organization by modeling strong use of AI in your day-to-day product management work