Product Manager

EdgeVerve Systems Limited

Bengaluru

On-site

INR 1,200,000 - 1,800,000

Full time

15 hours ago
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Job summary

EdgeVerve Systems Limited, a Infosys subsidiary, seeks a Product Manager to lead AI-First initiatives within the AI Next platform. You will partner with data scientists, engineers, and stakeholders to productize ML models and AI capabilities, shaping roadmaps for AI-powered features and infrastructure.

The role focuses on scalable, high-impact AI solutions, aligning with Responsible AI and regulatory practices while delivering measurable business value across enterprise deployments.

Qualifications

  • MBA from a reputed institute with strong business sense.
  • Bachelor’s degree in Engineering/Computer Science or related field.
  • 5+ years in Product Management/Product Ownership, preferably B2B/enterprise.

Responsibilities

  • Own the product strategy and roadmap for AI-first capabilities across the enterprise AI Next platform.
  • Translate AI research into production-ready products by collaborating with research, data science, MLOps, and engineering.
  • Define requirements for AI services, APIs, and platform components supporting enterprise-scale use cases.
  • Collaborate with UX, engineering, and stakeholders to prioritise AI use cases with measurable business value.
  • Establish KPIs/OKRs and continuously optimise with data and insights.
  • Drive AI-first adoption across product and business units with governance and Responsible AI practices.

Skills

PM/PO experience
Agile methods
Requirements writing

Education

MBA
Bachelors in Engineering/CS

Tools

APIs
Platform products
SaaS concepts

Job description

Job Description: Product Manager - AI Next
Experience: 5Years to 9Years
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
  • 5+ 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
  • 5+ 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
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