Health & Wellness Support

Learning & Development Support

Transport / Travel Support

Free Meal

Performance Bonus

Relocation Assistance

Generous & Flexible Leaves

ESOPs / Stock Options

Infosys Reviews by Employees

Senior Systems Engineer

Technology Analyst

System Engineer

Senior Associate Consultant

Associate Consultant

Senior Consultant

Consultant

Technical Lead

Test Engineer

Test Analyst

System Engineer Hardware

Senior Processing Executive

Software Engineer

Senior System Associate

Specialist Programmer

Senior Software Engineer

Software Developer

Project Manager

Lead Consultant

Operations Executive

Processing Executive

Technical Test Leader

Process Specialist

Technical Analyst

Software Quality Engineer

System Associate

Quality Analyst

Team Lead

Principal Consultant

Senior Associate

Senior Project Manager

Digital Specialist

Softwaretest Engineer

Technology Architect

Devops Engineer

Java Developer

Senior Executive Operations

Data Engineer

Accountant 

Data Analyst

Digital Specialist Engineer

System Engineer Trainee

Associate Business Analyst

Account Assistant

IT Technology Lead

Quality Engineering Lead

Business Analyst

Senior System Engineer 1

Analyst

Technology Support Specialist

Automation Test Engineer

Test Lead

Senior Executive

Engineering Analyst

Assistant Manager

Lead Engineer

Intern

Technology Lead

Technical Process Specialist

Business Technology Analyst

Senior Analyst

System Engineer 3

Senior Process Associate

Front end Developer

SAP Fico Consultant

Senior Engineer

IT Analyst

Senior Technology Support Executive

Technical Architect

Associate

Process Associate

Trainee

Senior Technology Architect

Senior Software Developer

Junior Accountant

Senior Test Engineer

Power BI Developer

SAP MM Consultant

SAP SD Consultant

SAP Basis Consultant

Infrastructure Management Consultant

Servicenow Developer

Scrum Master

Salesforce Developer

Technology Specialist

Senior Infrastructure Management Consultant

Full Stack Developer

Data Entry Operator

Web Developer

Technical Support Engineer

Senior Manager

Performance Test Engineer

Senior Test Analyst

Senior Testing Executive

Network Engineer

QA Engineer

SAP Consultant

System Software Engineer

Senior Accountant

Azure Data Engineer

Join Infosys Strategic Technology Group (STG), the innovation engine within the CTO organization, where engineers build next-generation data platforms, AI-first architectures, intelligent products, and large-scale digital ecosystems. STG provides opportunities to work on cutting-edge technologies, collaborate with distinguished technologists, and solve complex engineering challenges for global enterprises. We are seeking a visionary Principal - Product Manager to define and execute the strategy, roadmap, and business outcomes for next-generation AI and Generative AI products. This leader will bridge customer needs, business goals, and cutting-edge AI capabilities to create innovative, scalable, and responsible AI solutions. AI Product Vision & Strategy: - Define and communicate a compelling vision and long-term roadmap for AI, GenAI, and intelligent platform offerings. - Identify market opportunities and customer pain points where AI can generate measurable business value. - Develop product strategies that align business objectives, customer outcomes, and technology investments. - Continuously evaluate emerging AI technologies and determine their applicability to product portfolios. Product Roadmap & Prioritization: - Own product planning and prioritization across multiple AI initiatives and platforms. - Make data-driven trade-off decisions amidst technical uncertainty, evolving business needs, and resource constraints. - Balance innovation, customer impact, scalability, and commercial viability when prioritizing investments. - Ensure focus remains on solving customer problems rather than implementing AI for its own sake. AI Product Discovery & Experimentation: - Translate ambiguous AI capabilities into clear product requirements, user stories, acceptance criteria, and measurable outcomes. - Lead rapid experimentation through MVPs, prototypes, proofs of concept, A/B testing, and evaluation frameworks. - Define and execute experimentation strategies to validate business hypotheses and product-market fit. - Accelerate learning cycles by quickly identifying successful use cases and scaling proven solutions. Product Execution & Delivery: - Collaborate with Engineering, Data Science, Design, Architecture, and Platform teams to deliver AI-powered products. - Drive end-to-end product lifecycle management from ideation through launch and scale. - Remove delivery roadblocks and ensure alignment across cross-functional teams. - Ensure products meet enterprise-grade requirements for security, scalability, reliability, and performance. AI Platform & Model Governance: - Partner with AI engineering teams to evaluate model performance, latency, cost, accuracy, and reliability. - Define product requirements related to model selection, fine-tuning, orchestration, and AI workflows. - Drive responsible AI implementation, including fairness, transparency, explainability, privacy, and compliance considerations. - Establish governance frameworks for AI risk management and ethical AI adoption. Metrics & Outcome Ownership: - Own business outcomes and product success metrics rather than feature delivery alone. - Define KPIs including adoption, engagement, retention, customer satisfaction, revenue impact, and operational efficiency. - Monitor product performance and continuously optimize based on insights and customer feedback. - Establish AI-specific evaluation metrics covering accuracy, hallucination rates, response quality, latency, and cost efficiency. Commercialization & Go-to-Market: - Develop and execute go-to-market strategies for AI-powered products and platforms. - Partner with Sales, Marketing, Customer Success, and Business Leaders to drive adoption and revenue growth. - Build pricing, packaging, positioning, and customer value propositions for AI offerings. - Support customer engagements, executive briefings, analyst interactions, and strategic product presentations. Stakeholder Leadership: - Influence senior executives and stakeholders across technology, business, operations, sales, and customer organizations. - Act as the central point of alignment between business priorities and product execution. - Communicate product vision, roadmap progress, risks, and opportunities to leadership teams. - Mentor Product Managers and help build enterprise-scale product management capabilities. Required Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, Business, Data Science, or related discipline. - 15+ years of product management experience with proven ownership of large-scale enterprise products. - Experience delivering AI, Machine Learning, GenAI, Conversational AI, Agentic AI, or Intelligent Automation products. - Strong understanding of modern AI ecosystems, LLMs, prompt engineering, RAG, AI agents, orchestration frameworks, and model evaluation techniques. - Demonstrated success in product strategy, roadmap management, and commercialization. - Experience driving product decisions based on data, experimentation, and customer insights. - Exceptional stakeholder management, communication, and executive presentation skills. - Strong analytical mindset with the ability to balance customer value, technical feasibility, and business outcomes. Preferred Qualifications: - Experience with OpenAI, Azure AI, Anthropic, Gemini, AWS Bedrock, LangChain, Semantic Kernel, CrewAI, AutoGen, or equivalent AI platforms. - Knowledge of Responsible AI, AI governance, security, privacy, and compliance frameworks. - MBA or advanced degree in Business, Technology, Data Science, or Artificial Intelligence. - Experience launching enterprise SaaS, platform, cloud, or data products. - Background in Banking, Financial Services, Healthcare, Retail, Manufacturing, or Telecom domains is highly desirable.

Bangalore

Infosys - Principal Product Manager - AI Products & Platforms 

Job Description for Infosys - Principal Product Manager - AI Products & Platforms  in Infosys Limited in  Bangalore for (15-22) years of experience. Apply Now!

Infosys - Principal Product Manager - AI Products & Platforms  | iimjobs.com