Product Manager (AI)

Location: Denver Downtown, United States; other listed locations include Chicago, Phoenix, Raleigh, Dallas, Atlanta Metro Area, Minneapolis, and Nashville. Hybrid workstyle aligned to an hirify.global office with in-person collaboration based on client, team, development, or relationship-building needs.

Compensation Range: $111,200–$190,300 annually, plus eligibility for a discretionary bonus based on firm and individual performance.

Company

hirify.global provides professional services to middle-market clients globally.

What you will do

• Own product vision, strategy, roadmap, lifecycle decisions, prioritization, and measurable business value for assigned AI-enabled digital products.
• Maintain the product backlog, including epics, features, user stories, acceptance criteria, prioritization, and backlog health.
• Use Microsoft Copilot, ChatGPT, Claude, MCP-enabled tools, prototyping tools, and automation agents to build repeatable workflows, refine requirements, analyze information, and automate product-management tasks.
• Identify opportunities to embed AI, automation, knowledge retrieval, and agentic experiences into products.
• Partner with engineering and platform teams on secure MCP servers, tools, connectors, enterprise systems, product data, documents, workflows, and operational context.
• Partner with Change Management on training, communications, readiness, launches, hypercare, adoption, and value realization; prepare Product Council recommendations and make backlog tradeoff decisions.

Requirements

• 5+ years of experience in Product Manager, Product Owner, AI product, digital product, or similar roles.
• Mid-to-advanced hands-on proficiency with agentic AI tools such as Microsoft Copilot, ChatGPT, or Claude. Demonstrated use beyond basic research and content drafting to create multi-step or repeatable workflows, develop prototypes, improve requirements and acceptance criteria, analyze and synthesize complex information, automate product-management activities, and measurably improve product outcomes.
• Ability to evaluate AI output critically, iterate effectively, and apply judgment related to accuracy, privacy, security, governance, and human oversight.

Nice to have

• Consulting or professional services experience, especially ERP, CRM, HCM implementation, or delivery operations.
• Experience with AI-enabled, internal platform, knowledge retrieval, RAG, MLOps, MCP-enabled integration, automation, or agentic workflow products.
• Ability to balance user value, adoption, risk, data privacy, governance, and quality controls when deciding where AI should be used.
• Working knowledge of Model Context Protocol concepts, including tools, connectors, agents, context sources, permissions, and governance.
• Curiosity and an experimentation mindset with emerging AI tools, including quickly learning, testing workflows, and translating lessons into scalable product practices.
• Experience with product backlogs in Agile/Scrum or hybrid delivery models; writing epics, features, user stories, acceptance criteria, and release acceptance plans.
• Experience with ADO, Jira, Aha!, Productboard, or similar product and backlog tools.
• Experience measuring digital product adoption, operational value, ROI, and product health.
• Relevant product management, business applications, agile delivery, organizational change management, or technology-platform certifications are encouraged.

Culture & Benefits

• Hybrid workstyle combining office alignment with in-person connection.
• Competitive benefits and compensation package.
• Discretionary bonus eligibility based on firm and individual performance.
• Commitment to equal opportunity, reasonable accommodation, and a respectful workplace.
• Employees are expected to maintain current knowledge of industry trends, AI capabilities, MCP integration patterns, agentic workflows, responsible AI, and business application ecosystems.