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EverPro - AI Product Manager

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: EverCommerce
Full Time position
Listed on 2025-12-31
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 155000 USD Yearly USD 155000.00 YEAR
Job Description & How to Apply Below

Employer Industry: SaaS Solutions for Service Economy

Why consider this job opportunity
  • Salary up to $155,000
  • 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 time‑off policy (FTO)
  • Opportunities for professional development and career growth
  • Ability to work 100% remotely from anywhere within the United States
What to Expect (Job Responsibilities)
  • Define the long‑term vision and roadmap for the shared agentic AI platform and MCP server infrastructure
  • Collaborate with engineering, ML/AI, and Dev Ops teams to design scalable and secure AI/ML architectures
  • Oversee the development lifecycle from requirements through deployment and ongoing optimization
  • Establish frameworks for model evaluation, monitoring, and continuous improvement
  • Champion best practices in agent workflow design, AI/ML Ops, and evaluation methodologies across the organization
What is Required (Qualifications)
  • 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
  • Hands‑on familiarity with AI/ML Ops, including model deployment pipelines and evaluation frameworks
  • Experience building or managing shared platforms/tools used by multiple product teams
  • Excellent cross‑functional communication and stakeholder management skills
How to Stand Out (Preferred Qualifications)
  • 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

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