Senior Product Manager

Own the enterprise AI product vision and execution end to end, from discovery through deployment and continuous optimization.

Responsibilities

• Define and communicate vision, strategy, and roadmap for enterprise AI products and capabilities
• Find opportunities to apply AI, automation, and conversational technologies to improve member, customer, provider, associate, or operational experiences
• Create business cases, value hypotheses, success metrics, and adoption strategies for AI initiatives
• Prioritize work by balancing business value, technical feasibility, risk, compliance requirements, and user experience
• Own and prioritize the product backlog, keeping it aligned to strategic objectives and customer needs
• Lead product discovery activities including stakeholder interviews, journey mapping, business process analysis, and requirements gathering
• Define product requirements, user stories, acceptance criteria, and release plans
• Coordinate cross-functional teams across the full lifecycle: concept, design, development, testing, launch, and continuous improvement
• Manage scope, schedules, dependencies, risks, and resources across multiple AI initiatives
• Provide regular status updates and executive-level communications covering progress, outcomes, and risks
• Partner with conversation designers, engineers, and business stakeholders to design AI-powered experiences
• Define conversational flows, intents, prompts, retrieval strategies, agent behaviors, and escalation paths
• Set rules for when AI responds autonomously versus transferring to human support channels
• Ensure AI experiences align with user needs, enterprise standards, and business objectives
• Establish evaluation frameworks to measure AI performance, accuracy, safety, and business effectiveness
• Design and oversee testing approaches including golden datasets, adversarial testing, regression testing, and user acceptance testing
• Review conversation transcripts, feedback, and performance metrics to find optimization opportunities
• Define and monitor KPIs including containment, task success rate, latency, accuracy, customer satisfaction, adoption, and business impact
• Ensure compliance with enterprise AI governance, security, privacy, regulatory, and risk management standards
• Work with legal, compliance, security, and risk teams to implement responsible AI controls and governance processes
• Act as the primary liaison between business stakeholders and technical delivery teams
• Translate complex technical concepts into clear business outcomes and recommendations
• Facilitate alignment among product, engineering, operations, analytics, compliance, and executive leadership teams
• Influence decisions using data-driven recommendations and customer-centric thinking

Requirements

• Bachelor’s degree in Business, Computer Science, Engineering, Information Systems, Data Science, or related field
• 7+ years of professional experience, including at least 3 years in Product Management, Product Ownership, Program Management, or related discipline
• Experience leading AI, machine learning, conversational AI, or Generative AI initiatives from concept through production deployment
• Strong understanding of AI product development, including LLMs, RAG (retrieval-augmented generation), prompt engineering, agent frameworks, model evaluation, and AI governance principles
• Experience managing product roadmaps, backlogs, prioritization, and cross-functional delivery teams
• Ability to define business outcomes, product success metrics, and measurable value realization strategies
• Experience working with engineering, data science, UX, and business teams in Agile environments
• Strong analytical, communication, and stakeholder management skills
• Demonstrated ability to translate customer needs and business requirements into scalable product solutions
• Passion for improving customer, provider, associate, or consumer experiences through technology and innovation

Technologies

• LLMs
• retrieval-augmented generation (RAG)
• prompt engineering
• agent frameworks
• AI governance principles
• golden datasets
• adversarial testing
• regression testing
• Jira
• Azure DevOps
• Confluence
• Figma
• Azure OpenAI
• Microsoft Copilot
• OpenAI
• Anthropic
• Google Vertex AI
• HIPAA
• Agile

Preferred Qualifications

• Experience with Conversational AI platforms, voice assistants, virtual agents, chatbots, or agentic AI systems
• Hands-on experience with GenAI platforms such as Azure OpenAI, Microsoft Copilot, OpenAI, Anthropic, Google Vertex AI, or similar technologies
• Experience developing AI evaluation frameworks, safety testing methodologies, and responsible AI controls
• Experience in highly regulated industries such as healthcare, insurance, financial services, or utilities
• Familiarity with HIPAA, privacy regulations, AI governance frameworks, and enterprise risk management practices
• Experience managing third-party AI vendors and platform providers
• Experience with Agile tools such as Jira, Azure DevOps, Confluence, and Figma
• MBA or advanced degree preferred

Success Metrics

• Delivery of AI products that achieve defined business outcomes and ROI targets
• Adoption and engagement metrics for AI-enabled experiences
• Improvements in customer or employee satisfaction
• Reduction in operational effort through automation and AI capabilities
• AI quality measures including accuracy, safety, reliability, and compliance performance
• Roadmap execution, on-time delivery, and stakeholder satisfaction

Benefits

• Dental insurance
• Health insurance
• Vision insurance
• Health Savings Account
• Dependent Care FSA
• Supplemental coverage
• 401k plan with company match
• Fully vested after you become eligible
• Paid time off
• Sick time
• Paid company holidays
• Employee Assistance Program (EAP)
• Virtual counseling
• Financial services
• Legal services
• Life coaching

Location: New York, NY (onsite) • Job type: contract • Compensation: USD 68 - 80 per hourly

Education: Bachelor’s degree • Experience: 7+ years