Product Manager, AI

Job Summary

The Product Manager, AI is responsible for defining and delivering AI-powered product capabilities that create meaningful customer and business value. This role translates customer and business needs into product strategy, roadmaps, and high-impact solutions, partnering closely with engineering, ML/AI engineering, design, and cross-functional stakeholders throughout the product lifecycle. The Product Manager, AI leads product discovery, prioritization, experimentation, and delivery while navigating the unique considerations of machine learning and generative AI, including model performance, reliability, cost, user trust, and responsible deployment. This role uses data, customer insights, and sound product judgment to drive measurable outcomes and continuously improve AI-powered products and experiences.

Major Responsibilities/Activities

• Translate customer and business needs into product strategy, roadmaps, and priorities, identifying opportunities where AI/ML capabilities can create differentiated value.

• Lead product discovery through customer interviews, data analysis, market and competitive research, and experimentation to identify and validate high-impact product opportunities.

• Frame product problems, define hypotheses, and validate solutions through evidence and experimentation, accounting for the probabilistic nature and limitations of AI/ML technologies.

• Prioritize product initiatives and AI opportunities based on customer needs, business value, and technical feasibility, defining and measuring AI-specific product KPIs, evaluation frameworks, and success criteria including quality, accuracy, reliability, latency, cost, and user adoption to create measurable business value.

• Partner closely with engineering, ML/AI engineering, and design to define solutions and deliver high-quality AI-powered products and experiences.

• Own and maintain the product backlog, including clear requirements, user stories, acceptance criteria, and priorities that enable effective team execution.

• Develop clear product documentation, including product requirements, rollout plans, release communications, and documentation of AI model behavior, evaluation criteria, and known limitations.

• Partner with legal, compliance, security, and other appropriate stakeholders to support responsible, secure, and transparent deployment of AI-powered capabilities.

• Maintain stakeholder and customer alignment throughout the product lifecycle, translating technical capabilities, limitations, trade-offs, strategy, and progress into clear business and customer context.

• Maintain knowledge of customers, the business model, product and technical domains, internal tools, and evolving AI/ML capabilities and industry practices to inform product decisions and identify improvement opportunities.

• Present to and facilitate meetings with leaders, communicating strategy, trade-offs, and progress with clarity and confidence.

• Actively participate in Agile/Scrum ceremonies, including backlog refinement, sprint planning, daily stand-ups, retrospectives, and sprint demos.

• Perform other duties as assigned.

Required Education, Skills, & Experience

• 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, including end-to-end delivery of at least one AI/ML-powered product or feature from ideation through launch and post-launch iteration.

• Experience launching new products or capabilities from concept through release and using customer feedback, data, and real-world results to guide continued iteration.

• Experience serving in a product owner capacity within an Agile/Scrum software development environment, including developing user stories, acceptance criteria, and managing product backlogs.

• Working knowledge of ML and LLM systems and concepts, including training and inference, model evaluation, and fine-tuning fundamentals, with an emphasis on evaluating model outputs and driving product outcomes.

• Understanding of AI product considerations and limitations, including model reliability, hallucinations, latency and cost trade-offs, data privacy, and user trust.

• Understanding of data requirements, data quality, retrieval strategies, feedback loops, and governance considerations that influence AI product performance.

• Experience designing human-in-the-loop workflows, exception handling processes, and risk-based operational controls for AI-enabled products.

• Ability to understand technical specifications and effectively partner with engineering and ML/AI teams to evaluate technical capabilities, constraints, and trade-offs; coding experience is not required.

• Strong analytical, critical-thinking, and problem-solving skills, with the ability to use data and evidence to inform product decisions.

• Strong product and user-experience judgment, including understanding of UX considerations for AI-powered experiences such as uncertainty, explainability, and user trust.

• Experience with product development and collaboration tools and methodologies, including Jira, Confluence, and Scrum.

• Proficiency using generative AI tools to support productivity, research, analysis, or product development activities.

• Strong product delivery and project management skills, with the ability to manage priorities, dependencies, and ambiguity while driving initiatives toward measurable outcomes.

• Excellent written and verbal communication and stakeholder-management skills, with the ability to communicate effectively with technical and non-technical audiences across globally distributed teams.

• Ability to stay current on evolving AI/ML technologies, product practices, and industry developments and apply relevant knowledge to product strategy and execution.

• Proficiency in English is necessary for job-related communication, including understanding policies, writing correspondence, and engaging with colleagues or clients.

Preferred Education, Skills, & Experience

• Experience developing LLM-based products or features, including chatbots, copilots, agents, or other generative AI-powered experiences.

• Experience designing and evaluating experiments or A/B tests for AI-powered products and features.

• Knowledge of responsible AI and AI governance frameworks and practices, including model bias, explainability, transparency, privacy, safety, model monitoring, and model risk management.

• Experience in high-growth, regulated SaaS environments, with cross-functional collaboration across product, engineering, design, operations, compliance, privacy, information security, and other risk functions.

• Familiarity with open-source technologies or communities.

• Knowledge of applicable healthcare and data security requirements or frameworks, including HIPAA, HITECH, PCI DSS, and cybersecurity standards.

Working Environment

· The office environment is a controlled indoor setting with minimal exposure to adverse conditions.

· Noise levels in the office are typically moderate and consistent with a standard office setting.

· For employees approved to work in a hybrid or remote setting, a quiet, private workspace free from significant distractions is required to ensure productivity during work hours.

· A reliable internet connection is required for hybrid/remote work. EMS|MC will provide necessary equipment, including a computer, monitor, keyboard, mouse and headset.

Physical Requirements

· Sitting: frequent and prolonged periods of sitting at a desk while working on a computer.

· Communication: frequent and prolonged periods of speaking, listening, reading, and writing.

· Fine motor skills: frequent use of hands for typing and operating a computer mouse.

· Movement: occasional walking and climbing of stairs; limited bending, kneeling, lifting, and carrying of office-related items.

· Travel: must be able to travel occasionally to attend required company meetings.

Pay range: $120,000 - $130,000 annually, with final compensation based on the candidate’s qualifications, experience, and business needs. Individuals in this role are eligible to participate in a discretionary bonus plan and a comprehensive benefit package, including a retirement plan, health coverage, paid time off and other benefits provided in accordance with applicable law. Visit https://emsmc.com/careers/ to explore our total rewards package.

Employees must be able to perform the essential functions of this position. Reasonable accommodations will be provided to qualified individuals with disabilities as needed to support their ability to perform these essential functions. If you require an accommodation for this position or to participate in the application process, please contact HR at humanresources@emsmc.com.

The responsibilities and duties outlined in this job description are not exhaustive and may be subject to change to meet the needs of the business. This job description is not an implied contract of employment and does not alter the at-will employment relationship.

There is no anticipated closing date for applications; The role will remain open until filled.

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.