AI Product Manager

We are looking for a AI Product Manager with strong expertise in AI, Machine Learning, and Advanced Analytics platforms to drive enterprise-scale product outcomes. This role requires a balance of technical depth, product thinking, and stakeholder management, with a strong focus on AI-driven product development and platform enablement.

Responsibilities

• Define product vision, roadmap, and strategy for AI/ML-driven platforms and solutions
• Translate business problems into scalable product requirements and AI use cases
• Break down AI initiatives into structured execution plans and ensure timely delivery
• Evaluate trade-offs between accuracy, latency, and cost in product decisions
• Drive adoption of GenAI/LLM-based capabilities and guide development of AI agents
• Leverage AI tools to enhance team productivity and review AI-generated outputs
• Partner with engineering to guide architecture, scalability, and system design decisions
• Establish processes for code reviews and technical quality governance
• Debug product issues at a conceptual level and guide teams toward resolution
• Review client-facing deliverables (dashboards, insights, tools) for quality and impact
• Design fit-for-purpose product solutions aligned with business goals and constraints
• Collaborate with stakeholders to define product scope, success metrics, and delivery strategy
• Communicate insights, recommendations, and product updates to client stakeholders
• Own end-to-end product lifecycle (discovery → build → launch → iteration)
• Manage backlogs, prioritize features, and drive Agile execution (sprints, reviews)
• Track product performance and drive continuous improvement initiatives
• Ensure structured QA processes and high-quality product releases
• Lead cross-functional teams and align execution with product goals
• Drive stakeholder discussions, storytelling, and decision-making
• Mentor team members and foster a culture of innovation, accountability, and transparency

Required Skills and Experience

• 8+ years of experience delivering outcomes for enterprise clients in product/analytics roles
• Strong experience owning end-to-end product lifecycle (0→1 and 1→N)
• Experience using AI tools to enhance productivity and reviewing AI-generated outputs
• Strong understanding of trade-offs: accuracy vs latency vs cost
• Exposure to GenAI/LLM-based applications (preferred)
• Ability to break down AI requirements into actionable plans and guide execution (including AI agents)
• Strong foundation in Probability & Statistics
• Deep understanding of Practical Machine Learning systems and limitations
• Advanced proficiency in Python and SQL
• Knowledge of advanced analytics areas: Time Series Forecasting, Bayesian Analysis, Operations Research
• Experience in domains like Pricing Analytics, Media Mix Modeling (MMM), Customer Analytics (B2B/B2C)
• Ability to design business-aligned product solutions and define success metrics
• Strong experience in Agile/Scrum, backlog prioritization, and delivery ownership
• Ability to create structured processes for quality assurance and delivery excellence
• Strong stakeholder management, communication, and storytelling skills
• Demonstrated leadership, mentorship, and team management capabilities
• Strong people skills: conflict resolution, empathy, negotiation
• Self-driven with high ownership and accountability