{"id":8360,"date":"2026-10-29T18:38:45","date_gmt":"2026-10-29T18:38:45","guid":{"rendered":"https:\/\/jobs.brooksource.com\/jobs\/job\/a1wcv000001ah8feag-ai-product-manager-new-york-new-york\/"},"modified":"2026-10-29T18:38:46","modified_gmt":"2026-10-29T18:38:46","slug":"a1wcv000001ah8feag-ai-product-manager-new-york-new-york","status":"publish","type":"job_listing","link":"https:\/\/jobs.brooksource.com\/jobs\/job\/a1wcv000001ah8feag-ai-product-manager-new-york-new-york\/","title":{"rendered":"AI Product Manager"},"content":{"rendered":"<p><strong style=\"font-size: 24pt;\">Senior Product Manager &#8211; Enterprise AI<\/strong><\/p>\n<p><strong style=\"font-size: 18pt;\">Job Title<\/strong><\/p>\n<p><strong style=\"font-size: 10.5pt;\">Senior Product Manager, Enterprise AI<\/strong><\/p>\n<p><strong style=\"font-size: 18pt;\">Job Summary<\/strong><\/p>\n<p><span style=\"font-size: 10.5pt;\">The Senior Product Manager, Enterprise AI is responsible for defining the vision, roadmap, and business outcomes for AI-powered products and experiences across the enterprise. This individual owns the product lifecycle from discovery through deployment and ongoing optimization, partnering with business stakeholders, engineering, data science, UX, compliance, and operations teams to deliver impactful AI solutions.<\/span><\/p>\n<p><\/p>\n<p><span style=\"font-size: 10.5pt;\">This role combines traditional product management responsibilities with deep knowledge of Generative AI, conversational AI, agent-based systems, machine learning, and AI governance. The Product Manager develops value hypotheses, prioritizes product investments, manages delivery roadmaps, defines acceptance criteria, measures outcomes, and ensures solutions meet regulatory, security, and risk management requirements.<\/span><\/p>\n<p><\/p>\n<p><span style=\"font-size: 10.5pt;\">The ideal candidate possesses a strong understanding of AI technologies and hands-on experience leading AI product development initiatives that deliver measurable business value.<\/span><\/p>\n<p style=\"text-align: center;\"><\/p>\n<p><strong style=\"font-size: 18pt;\">Key Responsibilities<\/strong><\/p>\n<p><strong style=\"font-size: 13.5pt;\">Product Strategy &amp; Vision<\/strong><\/p>\n<ul>\n<li><span style=\"font-size: 10.5pt;\">Define and communicate the vision, strategy, and roadmap for enterprise AI products and capabilities.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Identify opportunities to leverage AI, automation, and conversational technologies to improve member, customer, provider, associate, or operational experiences.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Develop business cases, value hypotheses, success metrics, and adoption strategies for AI initiatives.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Balance business value, technical feasibility, risk, compliance requirements, and user experience in product prioritization decisions.<\/span><\/li>\n<\/ul>\n<p><strong style=\"font-size: 13.5pt;\">Product Ownership &amp; Delivery<\/strong><\/p>\n<ul>\n<li><span style=\"font-size: 10.5pt;\">Own and prioritize the product backlog, ensuring alignment to strategic objectives and customer needs.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Lead product discovery efforts, including stakeholder interviews, journey mapping, business process analysis, and requirements gathering.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Define product requirements, user stories, acceptance criteria, and release plans.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Coordinate cross-functional teams through the full product lifecycle from concept, design, development, testing, launch, and continuous improvement.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Manage scope, schedules, dependencies, risks, and resource requirements across multiple AI initiatives.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Provide regular status updates and executive-level communications on roadmap progress, outcomes, and risks.<\/span><\/li>\n<\/ul>\n<p><strong style=\"font-size: 13.5pt;\">AI Experience Design<\/strong><\/p>\n<ul>\n<li><span style=\"font-size: 10.5pt;\">Partner with conversation designers, engineers, and business stakeholders to design AI-powered experiences.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Define conversational flows, intents, prompts, retrieval strategies, agent behaviors, and escalation paths.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Determine when AI should respond autonomously and when interactions should be transferred to human support channels.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Ensure AI experiences align with user needs, enterprise standards, and business objectives.<\/span><\/li>\n<\/ul>\n<p><strong style=\"font-size: 13.5pt;\">AI Quality, Evaluation &amp; Governance<\/strong><\/p>\n<ul>\n<li><span style=\"font-size: 10.5pt;\">Establish evaluation frameworks to measure AI performance, accuracy, safety, and business effectiveness.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Design and oversee testing strategies including golden datasets, adversarial testing, regression testing, and user acceptance testing.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Review conversation transcripts, feedback, and performance metrics to identify optimization opportunities.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Define and monitor KPIs such as containment, task success rate, latency, accuracy, customer satisfaction, adoption, and business impact.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Ensure compliance with enterprise AI governance, security, privacy, regulatory, and risk management standards.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Partner with legal, compliance, security, and risk teams to implement responsible AI controls and governance processes.<\/span><\/li>\n<\/ul>\n<p><strong style=\"font-size: 13.5pt;\">Stakeholder Management<\/strong><\/p>\n<ul>\n<li><span style=\"font-size: 10.5pt;\">Serve as the primary liaison between business stakeholders and technical delivery teams.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Translate complex technical concepts into clear business outcomes and recommendations.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Facilitate alignment among product, engineering, operations, analytics, compliance, and executive leadership teams.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Influence decision-making through data-driven recommendations and customer-centric thinking.<\/span><\/li>\n<\/ul>\n<p><strong style=\"font-size: 18pt;\">Required Qualifications<\/strong><\/p>\n<ul>\n<li><span style=\"font-size: 10.5pt;\">Bachelor&#39;s degree in Business, Computer Science, Engineering, Information Systems, Data Science, or a related field.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">7+ years of professional experience, including at least 3 years in Product Management, Product Ownership, Program Management, or a related discipline.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Experience leading AI, machine learning, conversational AI, or Generative AI initiatives from concept through production deployment.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Strong understanding of AI product development, including LLMs, retrieval-augmented generation (RAG), prompt engineering, agent frameworks, model evaluation, and AI governance principles.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Experience managing product roadmaps, backlogs, prioritization, and cross-functional delivery teams.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Ability to define business outcomes, product success metrics, and measurable value realization strategies.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Experience working with engineering, data science, UX, and business teams in Agile environments.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Strong analytical, communication, and stakeholder management skills.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Demonstrated ability to translate customer needs and business requirements into scalable product solutions.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Passion for improving customer, provider, associate, or consumer experiences through technology and innovation.<\/span><\/li>\n<\/ul>\n<p><\/p>\n<p><strong style=\"font-size: 18pt;\">Preferred Qualifications<\/strong><\/p>\n<ul>\n<li><span style=\"font-size: 10.5pt;\">Experience with Conversational AI platforms, voice assistants, virtual agents, chatbots, or agentic AI systems.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Hands-on experience with GenAI platforms such as Azure OpenAI, Microsoft Copilot, OpenAI, Anthropic, Google Vertex AI, or similar technologies.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Experience developing AI evaluation frameworks, safety testing methodologies, and responsible AI controls.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Experience in highly regulated industries such as healthcare, insurance, financial services, or utilities.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Familiarity with HIPAA, privacy regulations, AI governance frameworks, and enterprise risk management practices.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Experience managing third-party AI vendors and platform providers.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Experience with Agile tools such as Jira, Azure DevOps, Confluence, and Figma.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">MBA or advanced degree preferred.<\/span><\/li>\n<\/ul>\n<p><\/p>\n<p><strong style=\"font-size: 18pt;\">Success Metrics<\/strong><\/p>\n<ul>\n<li><span style=\"font-size: 10.5pt;\">Delivery of AI products that achieve defined business outcomes and ROI targets.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Adoption and engagement metrics for AI-enabled experiences.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Improvements in customer or employee satisfaction.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Reduction in operational effort through automation and AI capabilities.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">AI quality measures, including accuracy, safety, reliability, and compliance performance.<\/span><\/li>\n<li><span style=\"font-size: 10.5pt;\">Roadmap execution, on-time delivery, and stakeholder satisfaction.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-size: 10.5pt;\">This version positions the role as a true <\/span><strong style=\"font-size: 10.5pt;\">Enterprise AI Product Manager\/Product Owner<\/strong><span style=\"font-size: 10.5pt;\">, focusing on owning outcomes, AI governance, conversational AI delivery, evaluation frameworks, roadmap ownership, and measurable business impact rather than a traditional IT product coordinator role.<\/span><\/p>\n","protected":false},"author":0,"featured_media":1257,"template":"","meta":{"inline_featured_image":false,"_promoted":"","_job_location":"New York, New 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