Job Description: Product Manager - AI Next
Location: Bangalore/ Pune
Years of experience: 7Years to 12 Years
About EdgeVerve
EdgeVerve Systems Limited (a wholly owned subsidiary of Infosys) builds AI-, automation-, and analytics-led digital platforms that help enterprises transform operations at scale, with security and scalability at the core
About AI Next
EdgeVerve AI Next is a unified platform designed to scale Applied AI across the enterprise, built from the ground up to leverage Generative AI and bridge silos across people, processes, data, and technology to drive transformation in business operations.
AI Next also includes platform capabilities that support flexible model choices and enterprise-ready foundations for secure, scalable deployments.
Role Summary
We are looking for a strategic and technically savvy Product Manager to lead AI‑First initiatives within our AI Next Platform team. This role focuses on creating scalable, high-impact AI solutions by partnering closely with data scientists, engineers, and stakeholders to productize cutting-edge machine learning models and AI capabilities.
As the champion of AI‑first thinking, you will help define and drive the roadmap for AI‑powered features, platform services, infrastructure, and tools that power intelligent applications across the organization and/or for external customers.
Job Responsibilities
- Own the product strategy and roadmap for AI‑first capabilities and features across the applied AI platform.
- Translate AI research, prototypes, and experimentation into production-ready products by working closely with research, data science, MLOps, and engineering teams.
- Define requirements for AI services, APIs, platform components, and infrastructure needed to support enterprise-scale AI use cases.
- Collaborate with UX, engineering, and stakeholders to prioritize AI use cases that deliver measurable business value and outcomes.
- Establish clear KPIs/OKRs to measure impact and performance of AI-driven features; continuously optimize using data and insights.
- Evangelize an'AI‑First mindset across product and business units—help teams adopt AI as a native capability in their products.
- Stay on top of AI/ML trends including foundation models, generative AI, and MLOps best practices, and convert learnings into actionable platform strategy.
- Drive experimentation and model validation pipelines, ensuring deployed models meet expectations on reliability, fairness, and explainability.
- Partner with Responsible AI / compliance stakeholders to ensure AI initiatives align with ethical, privacy, and regulatory requirements.
- Create strong product artifacts (PRDs, user stories, acceptance criteria), communicate trade-offs, and ensure crisp alignment across cross-functional teams (UX/Eng/Data Science/GTB/Support).
- Support go-to-market readiness by enabling internal stakeholders with positioning, value narratives, and adoption plans (as applicable to the platform/module owned).
Required Skills
Product Management & Execution
- 7+ years of hands-on experience in Product Management / Product Owner roles (B2B/enterprise product experience preferred).
- Strong ability to define problems, identify user/value drivers, write product requirements, and drive prioritization using data and business impact.
- Familiarity with Agile development practices (Scrum/Kanban), backlog management, and iterative delivery.
Technical & AI/Platform Understanding
- Working knowledge of AI/ML concepts (e.g., model lifecycle, evaluation metrics, inference vs. training, drift/monitoring).
- Exposure to APIs, platform products, and enterprise SaaS concepts (multi-tenant considerations, reliability, security, scalability).
- High comfort collaboration with engineering and data science teams; ability to translate between technical and business contexts.
Stakeholder & Communication
- Strong stakeholder management & ability to align diverse groups and drive decisions amid ambiguity.
- Excellent written and verbal communication, structured thinking, and storytelling for leadership and cross-functional teams.
Responsible AI & Governance Mindset
- Awareness of privacy, security, and Responsible AI considerations (bias, explainability, guardrails, human-in-the-loop patterns).
Education / Experience
- MBA from a good-tier institute.
- Bachelor's degree in Engineering / Computer Science / related field
- 7+ years of relevant Product Management/Product Ownership experience.
- Experience in one of the following preferred - Business Process orchestration, Agentic AI solutions, Data orchestration, Transformation and Operational transformation
