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Senior Engineering Manager - B2B

Weekday Bengaluru, Karnataka, India

Retail Apparel and Fashion · 501-1,000 employees

19 h ago
engineering-manager Principal (10+ yrs) Full-time India
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About the role

Lead engineering across product, platform, data, and AI initiatives while building and scaling high-performing teams. Drive architectural decisions for scalable, secure systems and champion modern software development practices.

What they look for

Engineering Management Product Strategy Platform Engineering Cloud-native Systems API-first Design Generative AI Intelligent Automation System Scalability Distributed Systems Team Leadership Performance Management Architecture Design Software Development Data Initiatives AI Governance Technical Mentorship

Requirements

Requires over 10 years of experience in engineering leadership within a technical environment. Candidates must possess strong expertise in cloud-native architecture, AI integration, and team management.

Full description

This role is for one of our clients

Industry: Health-tech and Insurtech Platform

Seniority level: Mid-Senior level

Min Experience: 10+ years Location: Banglaore JobType: full-time

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\n₹40,00,000 - ₹90,00,000 a year

Engineering Leadership

  • Lead engineering across product, platform, integrations, data, and AI initiatives.
  • Build, mentor, and scale high-performing engineering teams.
  • Establish strong engineering culture, delivery excellence, and quality standards.
  • Drive hiring, performance management, and leadership development.

Product & Platform Ownership

  • Partner closely with Product, Design, Operations, and Business teams.
  • Own end-to-end delivery of critical product and platform initiatives.
  • Drive architectural decisions for scalable, secure, cloud-native systems.
  • Champion API-first and platform-first engineering practices.

Technical Leadership

  • Act as a player-coach, contributing to architecture, design reviews, and critical development initiatives.
  • Provide technical guidance and unblock complex engineering challenges.
  • Drive engineering excellence through modern software development practices.

AI & Innovation

  • Lead adoption of Generative AI and intelligent automation capabilities.
  • Build AI-powered workflows, recommendation engines, conversational experiences, and operational tools.
  • Implement robust AI governance, observability, and performance standards.
  • Evaluate emerging technologies to drive product differentiation.

Scalability & Reliability

  • Scale systems supporting millions of users and growing transaction volumes.
  • Improve platform performance, resilience, monitoring, security, and compliance.
  • Build highly available and reliable distributed systems.

Must-have skills

Engineering Manager

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