Senior Manager – AI Product & Engineering

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

Website: mogiio.com
Job details:
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.

Click on Apply to know more.