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EverCommerce

EverPro - AI Product Manager

Posted 7 Days Ago
Remote
Hiring Remotely in US
140K-155K Annually
Senior level
Remote
Hiring Remotely in US
140K-155K Annually
Senior level
The AI Product Manager will define the vision for an AI platform, collaborate with teams, track success metrics, oversee development, and establish standards for AI governance.
The summary above was generated by AI

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 close to one of our offices, we can set you up in-office or you can work 100% remotely. Please note that you must be eligible to work without sponsorship to qualify for this position, and this role may require travel to our Corporate Headquarters in Denver, Colorado, or to other office locations around North America. 

Benefits & Perks: 

  • 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  ​

Compensation:  

EverCommerce is committed to equal pay and transparency. The annual base salary range for this position is $140,000 to $155,000 USD. Please note that the salary range information provided is a general guideline and combines all the distinct labor markets within the US. EverCommerce considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, candidate’s work location, education/training, key skills, internal peer equity, external market data, as well as market and business considerations when making compensation decisions. 

EverCommerce is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status. We look forward to reviewing your credentials and getting to know more about your experience!

Top Skills

AI
Ai/Ml Ops
Evaluation Frameworks
Mcp
Ml
Model Deployment Pipelines
Observability Tooling
SaaS

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