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 :[Confidential Information]
Exp.-10-12years
CTC:
ECTC:
Notice period:
Location:Hyderabad/bangalore/Chennai/Noida(only)
