Product Manager – ERP

Unanet

. 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 .

Posted 10/30/2026full-timeVirginia • United StatesMid-LevelSenior💰 $109,650 - $129,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management within a hyper-agile environment, leveraging AI-assisted workflows and analytics to drive product development and customer outcomes. Capable of translating market insights into actionable product requirements while effectively communicating with diverse stakeholders.

Highest-signal resume keywords

Product Management ExperienceAI-Assisted Product DevelopmentCross-Functional CollaborationData Analysis and InsightsAgile Development Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product Requirements DevelopmentPrototypingUser Persona UnderstandingData Model ComprehensionAnalytics ProficiencyAgentic Workflow DesignLLM OrchestrationPrompt EngineeringProduct DeliverySuccess Metrics Definition

Soft Skills

Stakeholder CommunicationCollaborationSelf-OrganizationAccountabilityStorytelling

Tools & Technologies

CursorGleanClaude CodeReplitMCP-Connected Workflows

Certifications & Qualifications

CPA Certification

Industry Keywords

AECERP SoftwareAI EthicsHyper-Agile DevelopmentCustomer Outcomes

Tech Stack

Tools & technologies

ERP

About the role

Key responsibilities & impact

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 the domain, including skills, agent prompts, and strategy integrating jobs-to-be-done, competitive positioning, institutional knowledge, and moat context
Own and influence a problem-oriented roadmap defined around customer outcomes and strategic bets
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 collaborate with internal and external stakeholders
Monitor competitive and market developments across AEC and adjacent markets to inform roadmap, positioning, and moat-building decisions
Define success metrics, evaluation approaches, and feedback loops for LLM- and agent-driven experiences, 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 the domain and communicate with clarity and strong storytelling to influence decisions and align technical and non-technical stakeholders
Help evolve Product operations in an AI-first organization by modeling strong use of AI in daily product management work

Requirements

What you’ll need

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

Benefits

Comp & perks

Employee equity
Discretionary bonus compensation
Eligibility to participate in Unanet's employee benefits plans and programs