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Engineering Manager - Consumer

Licious

12 - 14 years

Bengaluru

Posted: 09/05/2026

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Job Description

We are looking for an experienced Engineering Manager to lead high-performing teams building consumer-facing products at scale. This role sits at the intersection of technology, product, and customer experience, and is critical in shaping seamless, intuitive, and reliable journeys for our end users. You will combine strong technical depth with people leadership and product thinking to deliver impactful consumer experiences across Catalog, Search & Discovery, Personalization and General Merchandise platforms.


What Youll Do

  • Lead, mentor, and grow a team of engineers building consumer products and platforms, fostering a culture of ownership, craftsmanship, and continuous improvement
  • Drive end-to-end delivery of user-facing features and platformsfrom ideation and design to development, release, and iteration
  • Own and evolve core consumer experiences across Catalog, Search & Discovery, Personalization, Recommendations, and General Merchandise journeys
  • Partner closely with Product, Design, Growth, Merchandising, and Business teams to build intuitive, engaging, and high-conversion customer experiences
  • Drive engineering initiatives that improve product discoverability, search relevance, recommendation quality, assortment visibility, and customer engagement
  • Own the technical direction for frontend and/or full-stack systems powering consumer journeys including browsing, merchandising, recommendations, cart, checkout, and post-order experiences
  • Ensure high standards of code quality, performance, scalability, reliability, and operational excellence across consumer systems
  • Optimize for key business and consumer metrics such as conversion, retention, search success rate, engagement, latency, and app/web performance
  • Build and improve engineering processes including sprint planning, experimentation (A/B testing), CI/CD, code reviews, testing, and release management
  • Drive a strong culture of experimentation, observability, and data-driven decision-making within the team
  • Collaborate closely with Data Science, Analytics, and ML teams to enable personalization and recommendation capabilities at scale
  • Hire, onboard, and develop top engineering talent to build a strong consumer engineering organization
  • Work with platform and backend teams to ensure scalable APIs, resilient services, and seamless integrations across systems


What Were Looking For

  • 1012 years of experience in software engineering, with 24 years in an engineering management role
  • Strong experience in building and scaling consumer-facing applications and platforms (mobile, web, or full-stack systems)
  • Experience working on domains such as Catalog, Search, Discovery, Recommendations, Personalization, Merchandising, or Consumer Growth platforms
  • Deep understanding of frontend performance, user experience, discoverability, and responsive design principles
  • Hands-on experience with modern frontend frameworks (React, React Native) and/or backend technologies such as Java, Python, Spring Boot, Kafka, MySQL, MongoDB, and cloud-native architectures
  • Experience with AWS and cloud-native microservices architecture
  • Proven track record of delivering high-quality consumer products in fast-paced, data-driven environments
  • Strong understanding of distributed systems, APIs, microservices, scalability, and performance optimization
  • Strong problem-solving skills with the ability to balance user experience, performance, scalability, and business goals
  • Experience working in Agile environments with rapid iteration and experimentation cycles
  • Excellent communication, stakeholder management, and cross-functional collaboration skills


Good to Have

  • Experience in e-commerce, quick commerce, food-tech, retail-tech, or other high-frequency consumer internet platforms
  • Familiarity with search relevance systems, recommendation engines, personalization frameworks, or merchandising platforms
  • Experience with experimentation frameworks, customer segmentation, and engagement platforms
  • Exposure to high-traffic, low-latency systems handling real-time consumer interactions
  • Prior experience scaling engineering teams in high-growth environments


Educational Qualifications

  • Bachelors degree in Computer Science, Engineering, Information Technology, or a related technical field from a reputed institution
  • Masters degree (MBA/MS/M.Tech) is a plus, but not mandatory

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