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.

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

8 years of experience delivering outcomes for enterprise clients in product/analytics roles
Strong experience owning end-to-end product lifecycle (01 and 1N)
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