AI - Product Manager

Job description

**Technical Product Owner AI/ML** **Experience: 10-15 Years** **Location: [Bengaluru / Pune / Chennai / Hyderabad / Noida]** **Employment Type: Full-time** **Role Overview** **We are seeking a Technical Product Owner (TPO) who combines strategic business ownership with strong technical understanding of AI/ML or data or cloud ecosystems** **You will define the vision, roadmap and measurable outcomes for data-driven/ Cloud and AI-powered products while also owning the backlog, technical decisions and delivery of platform capabilities.** **This role demands an ability to bridge business strategy and engineering execution ensuring every technical initiative drives tangible business impact and adheres to enterprise standards.** **Key Responsibilities** **A. Business Product Ownership (Strategic PO Responsibilities)** - **Define and communicate the product vision, roadmap and business outcomes for AI/ML/ Cloud or data platform initiatives.** - **Align the AI/ML product strategy with organizational OKRs, ROI goals and digital transformation objectives.** - **Partner with business leaders to translate high-level use cases (e.g., personalization, forecasting, anomaly detection) into actionable technical features.** - **Define value hypotheses, track business KPIs and report impact on efficiency, automation and customer experience.** - **Prioritize investments based on business value risk and readiness.** - **Champion Responsible AI and ethical data use as part of business governance.** **B. Tactical / Technical Product Ownership (Execution-Level Responsibilities)** - **Own the backlog including epics, user stories, data pipelines, model lifecycle features and infrastructure capabilities.** - **Collaborate with data engineers, ML engineers and cloud architects to design scalable solutions for data ingestion, training and inference.** - **Define technical acceptance criteria for ML features, APIs and pipelines.** - **Ensure strong alignment between data availability, model readiness and deployment environments.** - **Partner with the MLOps team to standardize model deployment, monitoring and retraining processes.** - **Contribute to architecture discussions, data platform evolution and reusable component development.** - **Manage sprint ceremonies, backlog grooming and release planning with engineering teams.** - **Track progress via technical KPIs (e.g., model latency, data quality SLAs, deployment frequency).** **Qualifications** - **Bachelor's or Masters degree in Computer Science, Data Science or Engineering.** - **10+ years of experience in product ownership, technical program management or AI/ML delivery.** - **Strong knowledge of AI/ML model lifecycle, data pipelines and cloud-native architecture.** - **Proven ability to balance business priorities with technical feasibility.** - **Experience in Agile / Scrum environments writing epics, managing sprints and working with cross-functional teams.** - **Exposure to LLM/GenAI, data modernization or AI platform products preferred.** **Certifications (Preferred** - **Certified Scrum Product Owner (CSPO) or Professional Scrum Product Owner (PSPO).** - **Microsoft / AWS / GCP certifications in AI, Data or Cloud.** - **Any recognized AI Product Management or Responsible AI certification.** **Soft Skills** - **Strong communication and stakeholder management able to engage with business, engineering and data science leaders.** - **Analytical mindset; capable of linking technical metrics to business KPIs.** - **Skilled in prioritization, trade-off decisions and dependency management.** - **Growth mindset and adaptability to emerging AI technologies.**