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Unanet

Senior Product Manager (A/E ERP)

Posted 9 days ago
$135K - $150K per year
5-10 years experience
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AI Summary

The Senior Product Manager will lead a cross-functional pod to define and execute product strategy for the A/E ERP domain using AI-accelerated development practices. They are responsible for translating market insights into actionable requirements, prototypes, and successful customer outcomes.

We’re looking for a Senior Product Manager who can operate as a true product lead within a tightly embedded Product, Engineering, UX, QA, and subject-matter-expert “pod”, owning a defined product domain and moving quickly from problem framing to prototype to shipped customer value.

This is a builder role, not a traditional backlog management position. You’ll lead the problem-to-PRD loop for your domain, working in fusion with software development and key stakeholders in a hyper-agile, AI-accelerated operating model. You’ll combine customer and market insight, strong product judgment, and modern AI-assisted development practices to define the right problems to solve, rapidly turn them into actionable requirements and prototypes, and continue learning and iterating post-launch.

Success isn’t measured by how many features you ship. It’s measured by the customer outcomes you create, the adoption you drive, and the differentiation you build into Unanet’s A/E ERP.

What You’ll Do

  • 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

Who You Are

  • 5+ 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

Your Differentiators

  • 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

Our Values

  • We are a Team. Employees, customers, and partners working together.
  • We are Customer-Focused. Customers are the heart of everything we do.
  • We are Driven. Seeking exceptional outcomes.
  • We Own our Success. Every employee has a stake in our company.
  • We do the right thing and have fun in the process.

The salary range for this opportunity is $135,000 - $150,000 per year. You will be eligible for employee equity as well as discretionary bonus compensation, subject to plans that may be in effect from time to time. You will further be eligible to participate in Unanet's employee benefits plans and programs. For more details on Unanet's benefits offerings, please visit https://unanet.com/employee-benefits.

Unanet is proud to be an Equal Opportunity Employer. Applicants will be considered for positions without regard to race, religion, sex, national origin, age, disability, veteran status or any other consideration made unlawful by applicable federal, state or local laws.

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