AI Product Manager

We are seeking an  AI Product Manager  to lead the strategy, development, and lifecycle management of AI-powered products and platforms. This role bridges business objectives, user needs, data science, and engineering to deliver scalable, ethical, and high-impact AI solutions.
The ideal candidate has strong product fundamentals, a solid grasp of machine learning concepts, and hands-on experience translating AI capabilities into customer and business value.

Key Responsibilities
Product Strategy & Vision
Define and own the product vision, roadmap, and success metrics for AI/ML-powered products.
Identify high-value AI use cases aligned with business goals and customer pain points.
Evaluate build vs. buy decisions for AI models, platforms, and tooling.
Product Development & Execution
Translate business problems into clear product requirements, user stories, and acceptance criteria.
Partner closely with Data Science, Engineering, UX, and Platform teams across the full product lifecycle.
Prioritize features and experiments based on ROI, feasibility, and model maturity.
Drive MVP definition, iteration, and scale-up of AI capabilities.
AI/ML Lifecycle Management
Work with data science teams on:
Problem framing and model selection
Data requirements, labeling strategies, and feature engineering inputs
Model performance metrics (accuracy, precision/recall, drift, bias)
Ensure model deployment, monitoring, retraining, and versioning are productized and production-ready.
Stakeholder & Customer Engagement
Act as the primary interface between business stakeholders, technical teams, and end users.
Gather and synthesize feedback from customers, analytics, and experiments to guide product decisions.
Communicate complex AI concepts clearly to non-technical stakeholders.
Governance, Ethics & Compliance
Ensure responsible AI practices, including fairness, explainability, privacy, and security.
Partner with Legal, Risk, and Compliance teams on regulatory and data governance requirements.
Define guardrails for AI usage, auditability, and transparency.
Metrics & Outcomes
Define and track KPIs across product adoption, business impact, and model performance.
Use experimentation (A/B testing, pilots) and analytics to inform decisions.
Continuously improve product value through data-driven insights.

Required Qualifications
Product & Business
Strong experience in product management, preferably in data, AI, or platform products.
Proven ability to define product strategy and deliver complex products end-to-end.
Excellent prioritization, stakeholder management, and decision-making skills.
AI/ML Knowledge (Hands-on Understanding)
Solid understanding of:
Machine learning fundamentals (supervised/unsupervised learning, deep learning basics)
NLP, computer vision, or recommender systems (at least one domain preferred)
Model evaluation, bias, drift, and explainability concepts
Experience working with data pipelines, feature stores, and model deployment workflows.
Technical & Analytical Skills
Ability to collaborate deeply with data scientists and engineers (without needing to code daily).
Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML services.
Strong analytical mindset; comfort with metrics, dashboards, and experimentation.
Communication & Leadership
Exceptional written and verbal communication skills.
Ability to influence without authority in cross-functional environments.
Customer-centric mindset with strong problem-framing skills.
Please mail your Cv to :
Exp.

-10-12years
CTC:
ECTC:
Notice period:

Location:

Hyderabad/bangalore/Chennai/Noida(only)