
501 - 1000 employees
💼 Consulting
🏥 Healthcare
⚕️ Healthcare Insurance
Consulting • Healthcare • Healthcare Insurance
EMS Management & Consultants, Inc. (EMS|MC) is a company that specializes in providing comprehensive operational solutions for over 1,500 emergency medical services (EMS) providers across the United States, including hospital systems, municipalities, and private companies. Founded by professionals within the EMS industry, EMS|MC offers services designed to optimize reimbursement, resources, and regulatory compliance. With more than 25 years of experience, the company leverages technologies like EMsmart, a SaaS-driven billing solution, to enhance revenue performance for EMS agencies. EMS|MC also works closely with the PWW Advisory Group to ensure compliance with the ever-changing regulatory landscape, providing tools and educational resources to EMS providers.
🔥 12 hours ago
🇺🇸 United States – Remote
💵 $120k - $130k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
✅ Product Manager
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501 - 1000 employees
💼 Consulting
🏥 Healthcare
⚕️ Healthcare Insurance
Consulting • Healthcare • Healthcare Insurance
EMS Management & Consultants, Inc. (EMS|MC) is a company that specializes in providing comprehensive operational solutions for over 1,500 emergency medical services (EMS) providers across the United States, including hospital systems, municipalities, and private companies. Founded by professionals within the EMS industry, EMS|MC offers services designed to optimize reimbursement, resources, and regulatory compliance. With more than 25 years of experience, the company leverages technologies like EMsmart, a SaaS-driven billing solution, to enhance revenue performance for EMS agencies. EMS|MC also works closely with the PWW Advisory Group to ensure compliance with the ever-changing regulatory landscape, providing tools and educational resources to EMS providers.
• Define and deliver AI-powered product capabilities that create customer and business value • Translate customer and business needs into product strategy, roadmaps, and priorities • Lead product discovery through customer interviews, data analysis, market and competitive research, and experimentation • Frame product problems, define hypotheses, and validate solutions through evidence and experimentation • Prioritize product initiatives based on customer needs, business value, and technical feasibility • Define and measure AI-specific product KPIs, evaluation frameworks, and success criteria • Partner with engineering, ML/AI engineering, and design to define solutions and deliver AI-powered products and experiences • Own and maintain the product backlog, including requirements, user stories, acceptance criteria, and priorities • Develop product requirements, rollout plans, release communications, and documentation of AI model behavior, evaluation criteria, and limitations • Partner with legal, compliance, security, and other stakeholders on responsible, secure, and transparent AI deployment • Maintain stakeholder and customer alignment throughout the product lifecycle • Maintain knowledge of customers, the business model, product and technical domains, internal tools, and evolving AI/ML capabilities • Present to and facilitate meetings with leaders, communicating strategy, trade-offs, and progress • Participate in Agile/Scrum ceremonies including backlog refinement, sprint planning, daily stand-ups, retrospectives, and sprint demos • Perform other duties as assigned
• Bachelor’s Degree in Business Administration, Product Management, Information Systems, Computer Science, or a related field or equivalent combination of education and relevant work experience • 3–5 years of product management experience • End-to-end delivery of at least one AI/ML-powered product or feature from ideation through launch and post-launch iteration • Experience launching products or capabilities from concept through release and using customer feedback, data, and real-world results for iteration • Product owner experience in an Agile/Scrum software development environment • Experience developing user stories, acceptance criteria, and managing product backlogs • Working knowledge of ML and LLM systems and concepts, including training, inference, model evaluation, and fine-tuning fundamentals • Understanding of AI product considerations including model reliability, hallucinations, latency, cost, data privacy, and user trust • Understanding of data requirements, data quality, retrieval strategies, feedback loops, and governance • Experience designing human-in-the-loop workflows, exception handling, and risk-based operational controls • Ability to understand technical specifications and partner with engineering and ML/AI teams; coding experience is not required • Strong analytical, critical-thinking, and problem-solving skills • Strong product and user-experience judgment for AI-powered experiences • Experience with Jira, Confluence, and Scrum • Proficiency using generative AI tools • Strong product delivery and project management skills • Excellent written and verbal communication and stakeholder-management skills • Ability to work across globally distributed teams • Ability to stay current on AI/ML technologies, product practices, and industry developments • Proficiency in English is necessary for job-related communication • Applicants must be authorized to work in the United States now and in the future • This role does not offer current or future visa sponsorship • Preferred: Experience developing LLM-based products or features • Preferred: Experience designing and evaluating experiments or A/B tests for AI-powered products • Preferred: Knowledge of responsible AI and AI governance frameworks • Preferred: Experience in high-growth, regulated SaaS environments • Preferred: Familiarity with open-source technologies or communities • Preferred: Knowledge of healthcare and data security requirements including HIPAA, HITECH, PCI DSS, and cybersecurity standards • Quiet, private workspace and reliable internet connection required for approved hybrid/remote work • Must be able to travel occasionally to attend required company meetings
• Discretionary bonus plan • Retirement plan • Health coverage • Paid time off • Comprehensive benefit package • Necessary equipment provided for hybrid/remote work, including a computer, monitor, keyboard, mouse and headset • Reasonable accommodations for qualified individuals with disabilities • Occasional required company meetings/travel
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