AI Product Manager

We are seeking an experienced AI Product Manager to lead the strategy, roadmap, and delivery of AI-powered products and capabilities. This role will bridge business objectives, customer needs, data science, engineering, and user experience teams to build scalable, responsible, and high-impact AI solutions. The ideal candidate combines strong product management expertise with a solid understanding of Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, Large Language Models (LLMs), and enterprise AI governance. The role requires defining product vision, prioritizing investments, measuring business impact, and ensuring successful adoption of AI capabilities. Key Responsibilities • Define and execute the AI product vision, strategy, and roadmap aligned with business objectives. • Identify high-value AI and GenAI opportunities across business functions and customer journeys. • Create Product Requirement Documents (PRDs), Translate business challenges into scalable AI-powered solutions describing business impact, technical feasibility, and customer value. • Use ADO to maintain product backlogs, user stories, acceptance criteria, and release plans. • Establish success metrics, KPIs, and measurable business outcomes for AI initiatives. • Collaborate with AI Architects/ Engineers to define model requirements and evaluation criteria. • Drive development of AI/ML, LLM, RAG, Copilot, and Agentic AI solutions. • Define model performance metrics including accuracy, precision, recall, latency, and user satisfaction. • Ensure AI products are scalable, secure, and production ready. • Drive end-to-end product lifecycle management from concept to deployment and continuous improvement. • Ensure compliance with Responsible AI, security, privacy, and regulatory requirements. • Define AI governance frameworks, guardrails, bias mitigation strategies, and model monitoring processes. • Establish monitoring approaches for model drift, hallucinations, and operational risks. Required Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, Business, or related field. • 8+ years of Product Management experience. • 3+ years leading AI, ML, GenAI, or Data-driven products. • Experience managing enterprise-scale digital products, Product strategy and roadmap development. • Understanding of Machine Learning, Deep Learning, NLP, and Generative AI. • Experience with LLMs, Prompt Engineering, RAG, Vector Databases, and AI Agents. • Knowledge of AI evaluation frameworks and experimentation methodologies. • Understanding of AI architecture, APIs, integrations, and MLOps concepts. • Ability to define KPIs and product success metrics. • Excellent communication and storytelling skills. • Stakeholder management and executive communication. • Ability to influence executive stakeholders and cross-functional teams. Preferred Qualifications • Experience building Copilots, Agentic AI applications, or enterprise GenAI platforms. • Familiarity with Azure AI Foundry, OpenAI, Microsoft Copilot ecosystem, Databricks, or Vertex AI. • Experience with AI governance, Responsible AI, and enterprise compliance frameworks. • Knowledge of experimentation, A/B testing, telemetry, and product analytics.

JOB DETAILS


Job Summary


We are seeking an experienced AI Product Manager/ TPM with strong functional expertise in AI skills to lead and deliver complex, cross functional programs & end-to-end product ownership.The ideal candidate will have a proven track record in owning AI programs , program management, Agile/Scrum execution, stakeholder management, and requirements translation-bridging business needs with engineering delivery. This role requires close collaboration with business stakeholders, product owners, and engineering teams to drive clarity, manage risks, and ensure predictable delivery of high impact initiatives.


Key Responsibilities

• Program & Delivery Management
  • Own end to end delivery of multiple cross functional programs involving AI programs and integrated enterprise systems.
  • Drive program planning, execution, tracking, and reporting across Agile/Scrum teams.
  • Establish and maintain program governance, milestones, dependencies, and delivery timelines.
  • Proactively identify, assess, and mitigate program risks and issues.
  Stakeholder & Business Management
  • Act as the primary interface between business stakeholders, product teams, and engineering.
  • Facilitate requirement gathering workshops and translate business needs into clear, actionable deliverables.
  • Manage stakeholder expectations through transparent communication, status updates, and escalation management.
  • Ensure alignment between business priorities and technical delivery plans.
  Requirements & Backlog Management
  • Capture business requirements and translate them into features, epics, and user stories with clear acceptance criteria.
  • Partner with Product Owners to maintain a prioritized and well groomed backlog.
  • Ensure requirements are functionally sound, scalable, and aligned with Dynamics 365 best practices.
  Agile & Scrum Execution
  • Support Agile/Scrum ceremonies including sprint planning, backlog grooming, reviews, and retrospectives.
  • Track sprint progress, delivery risks, and dependencies across teams.
  • Drive continuous improvement in Agile execution, predictability, and delivery quality.
  Functional AI Skills Leadership
  • Strong techno functional skills in AI related technologies, skills, and experience
  • Articulate business requirements, create features, user stories for AI solutions.
  • AI Product owner expertise with
  • • Sound experience on AI skills (Agentic), GenAI / LLM workflow automation & agentic workloads
    • Good experience on AI adoption strategy, governance & responsible-AI guardrails
    • Sounf knowledge on RAG, vector databases, LLM APIs & MCP

Skill Requirements


12+ years of experience in AI Product Managemtn / Technical Program Management.
• functional experience with AI programs & skills

• Sound experience on AI skills (Agentic), GenAI / LLM workflow automation & agentic workloads
• Good experience on AI adoption strategy, governance & responsible-AI guardrails
• Sounf knowledge on RAG, vector databases, LLM APIs & MCP

• Hands on experience working in Agile/Scrum delivery models.
• Proven ability to capture and document requirements as features, epics, and user stories.
• Experience managing business stakeholders, cross functional teams, and complex dependencies.
• Strong risk management, problem solving, and decision making skills.
• Excellent communication skills-both written and verbal-with the ability to influence without authority.