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)