AI Product Manager

October 24

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EverCommerce

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SaaS • B2B • eCommerce

EverCommerce is the leading service commerce platform, providing vertically-tailored, integrated SaaS solutions to over 500,000 global service-based businesses. Established in 2016, EverCommerce offers software solutions that help businesses market their services, streamline day-to-day operations, and enhance customer engagement. The company specializes in powering the service economy with digital transformation across multiple industries, including Home & Field Services, Health Services, and Fitness & Wellness. EverCommerce's technology aims to accelerate growth, improve operations, and increase retention for small and medium-sized businesses, transforming the way they interact with customers through modern digital and mobile applications.

1001 - 5000 employees

Founded 2016

☁️ SaaS

🤝 B2B

🛍️ eCommerce

💰 Private Equity Round on 2019-07

📋 Description

• Drive our company’s horizontal AI strategy across our portfolio of products. • Lead the definition, development, and adoption of a shared agentic platform—including reusable AI agents, tooling functions, and an MCP (Model Context Protocol) server. • 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. • 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. • Collaborate with engineering, ML/AI, and DevOps teams to design scalable and secure AI/ML architectures. • Champion best practices in agent workflow design, AI/ML Ops, and evaluation methodologies across the organization. • 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. • 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.

🎯 Requirements

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

🏖️ Benefits

• Continued investment in your professional development • Day 1 access to a robust health and wellness benefits package, including an annual wellness stipend. • 401k with up to a 4% match and immediate vesting • Flexible and generous (FTO) time-off • Employee Stock Purchase Program