Product Manager, AI

EMS Management & Consultants, Inc.

. Define and deliver AI-powered product capabilities that create customer and business value .

Posted 10/23/2026full-timeRemote • United StatesMid-LevelSenior💰 $120,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI-powered product management, including defining product strategy, managing backlogs, and delivering solutions through collaboration with engineering and design teams. Proficient in utilizing data analysis and customer feedback to drive product iterations and ensure alignment with business objectives.

Highest-signal resume keywords

AI/ML Product ManagementAgile/Scrum MethodologiesProduct Backlog ManagementData Analysis and ExperimentationStakeholder Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product StrategyUser Story DevelopmentAcceptance Criteria DefinitionAI Product KPIsML and LLM Systems KnowledgeData Quality and GovernanceHuman-in-the-Loop WorkflowsProject ManagementExperiment DesignAI Governance Frameworks

Soft Skills

Analytical SkillsCritical ThinkingProblem-SolvingCommunication SkillsStakeholder Management

Tools & Technologies

JiraConfluenceGenerative AI ToolsAgile Tools

Industry Keywords

SaaSHealthcare ComplianceData Security StandardsHIPAAHITECHPCI DSSCybersecurity Standards

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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