Drive the execution of all processes in the product lifecycle, leveraging AI tools for market research, competitor analysis, planning, positioning, requirements and roadmap development, and product launch
Translate product strategy into detailed requirements in collaboration with UX and engineering
Create product strategy documents that describe business cases, high-level use cases, technical requirements, revenue, and ROI
Conduct discovery to uncover high value, unmet market / customer needs; conduct & synthesize competitive analysis
Create, manage and present product roadmaps
Collaborate with product pricing to determine ideal commercial / GTM plan
Track, measure, and report on product performance
Gather and analyze feedback from customers and stakeholders
Make data-driven decisions to improve products, using AI-powered analytics and LLM-based insights to accelerate discovery and prioritization
Define and own the AI feature strategy for accounting workflows, including intelligent automation, anomaly detection, natural language interfaces, and AI-assisted reconciliation
Partner with engineering and design to evaluate LLM providers, agentic frameworks, and AI/ML models appropriate for ERP accounting use cases
Develop content for executive / board presentations on roadmap and product/market performance

Bachelor's degree in Accounting strongly preferred. Would consider a related field (e.g., computer science, business administration, finance)
3+ years of experience in product management with experience working with Mid-Market ERP Systems (i.e. Acumatica, Epicor, Microsoft Dynamics, Sage, Intacct, NetSuite, or similar mid-market ERP software)
Quantifiable product success stories
Strong understanding of the product development process
Experience working with cross-functional teams
Excellent communication and interpersonal skills
Ability to think strategically and tactically
Data-driven decision-making skills with hands-on experience using AI tools (e.g., ChatGPT, Claude, Gemini, Copilot) to accelerate research, synthesis, and documentation
Demonstrated ability to work in an AI-first product environment: writing effective prompts, evaluating LLM outputs, and identifying where AI creates genuine value vs. where it introduces risk in financial workflows
Strong preference for East Coast time zone (for highly qualified candidates, would consider Central US time zone)
Experience shipping AI/ML features in a B2B SaaS product, including familiarity with model evaluation, responsible AI practices, and user trust considerations
Experience in the Venue or Event Management industry
Experience with Atlassian or Pendo
Experience with JTBD framework

Product Manager – ERP

Key skills