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.

Key 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