Senior Product Manager (A/E ERP)

Unanet

7d•$135,000 - $150,000

About The Position

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.

Requirements

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

Nice To Haves

Accounting or finance background, including CPA certification
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

Responsibilities

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