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Senior Product Manager – AI & Data Platforms

Actively Reviewing the Applications

Mogi I/O : OTT/Podcast/Short Video Apps for you

India Full-Time
Posted 5 days ago Apply by June 21, 2026

Job Description

Work Type: Full Time

Experience Required:12 – 20 Years

Work Mode: Onsite

Location : India – Mumbai

About The Client

We are hiring on behalf of our client, a global digital transformation company delivering advanced technology platforms and solutions. With operations across multiple continents, they help businesses accelerate digital growth.

Job Overview

We are seeking an experienced VP / Head of Technology to lead and scale the organization’s technology function across engineering, product development, cloud infrastructure, security, AI-led initiatives, and enterprise platforms.

This leadership role will drive execution excellence, platform modernization, and innovation across core verticals including eCommerce, Procurement & e-Sourcing, ERP integrations, Sustainability/ESG, and Business Services platforms.

Key Responsibilities

  • Own and execute the end-to-end technology roadmap aligned with business outcomes.
  • Build and maintain scalable cloud-native, microservices-based architectures.
  • Lead multi-product engineering teams across eCommerce, procurement, ERP integrations, ESG, and analytics platforms.
  • Own full SDLC including design, development, testing, deployment, and support.
  • Implement Agile, DevOps, CI/CD, and automated testing practices.
  • Drive platform modernization including API-first systems and integration frameworks.
  • Lead procurement and supply chain platform enhancements and integrations.

Must-Have Qualifications

  • 5–7+ years in senior leadership managing large multi-product engineering teams (50–100+ members).
  • Strong experience in B2B platforms, Procurement Tech, or Supply Chain solutions
  • 10+ years in Cloud-Native Architecture (Azure/AWS/GCP).
  • Expert-level experience with Microservices, Kubernetes (K8s), and Docker.
  • 8+ years in DevOps, CI/CD, and modern engineering practices.
  • 6+ years in B2B eCommerce architecture (headless commerce, marketplace integrations).
  • 3+ years in AI/ML, Data Engineering, LLM implementations, or AI-driven automation.
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