EverPro - AI Product Manager

At EverCommerce [Nasdaq: EVCM], we are on a mission to digitally transform the service economy with tailored, end-to-end SaaS solutions that simplify and empower the lives of our 690,000+ customers.  As a leading service commerce platform, our modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals in the areas of Home & Field Services, Health Services, and Fitness & Wellness industries. 

We are building an extraordinary company and looking for talented, energetic, and motivated people to join our team. You can learn more about our Company, Culture and Values here: https://careers.evercommerce.com/us/en. 

We are seeking a strategic and technically adept AI/ML Product Manager to drive our company’s horizontal AI strategy across our portfolio of products. This individual will lead the definition, development, and adoption of a shared agentic platform—including reusable AI agents, tooling functions, and an MCP (Model Context Protocol) server—to enable rapid deployment of AI capabilities across multiple business units. As part of our central AI team, you will collaborate closely with engineering, data science, product, and design leaders across our portfolio to identify high-value opportunities, standardize core AI infrastructure, and accelerate time-to-market for AI-driven functionality. 

Skills and Experience needed for success in this role:

Product Strategy & Roadmap 

• Define the long-term vision and roadmap for our shared agentic AI platform and MCP server infrastructure. 
• Identify and prioritize reusable AI components (agents, tooling, workflows) that can be deployed portfolio-wide. 
• Translate strategic objectives into actionable product requirements and milestones. 

Cross-Functional Leadership 

• Collaborate with engineering, ML/AI, and DevOps teams to design scalable and secure AI/ML architectures. 
• Partner with product leaders from each business unit to understand their needs and drive adoption of the shared platform. 
• Champion best practices in agent workflow design, AI/ML Ops, and evaluation methodologies across the organization. 
• Execution & Delivery 
• Define and track success metrics (performance, reliability, usage, and business impact) for AI platform components. 
• Oversee the development lifecycle from requirements through deployment and ongoing optimization. 
• Manage backlog, prioritize initiatives, and coordinate releases for shared AI services. 

Governance & Standards 

• Establish frameworks for model evaluation, monitoring, and continuous improvement (evals, safety, performance). 
• Ensure compliance with internal security, privacy, and responsible AI standards. Define agent UX principles (reversibility, confirmations, transparency of actions, human-override paths).  
• Foster knowledge-sharing and reusable tooling adoption across teams. 

Skills and Experience needed for success in this role: 

Required: 

• 5+ years of Product Management experience, with 2+ years focused on AI/ML products, platforms, or infrastructure. 
• Strong understanding of agentic platforms, multi-agent workflows, and the AI ecosystem (LLMs, orchestration frameworks, vector databases, etc.). 

• Hands-on familiarity with AI/ML Ops, including model deployment pipelines, evaluation frameworks, and observability tooling. 
• Experience building or managing shared platforms/tools used by multiple product teams. 
• Excellent cross-functional communication and stakeholder management skills.
• Strong technical acumen with the ability to engage in architecture and design discussions. 
• Technical depth and curiosity to collaborate closely with research/engineering team in tight feedback loops.  

Preferred: 

• Experience implementing or managing an MCP (Model Context Protocol) server or similar contextual orchestration systems. 
• Background in SaaS or multi-product portfolios. Familiarity with enterprise-level security, compliance, and scalability requirements for AI. 

Where: 
The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K., Jordan, New Zealand, and Australia. With a widely distributed team, we are used to working remotely across different time zones. This role can be based anywhere in the United States – if you’re