Senior Engineering Manager - B2B

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟰𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟵𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟰𝟬-𝟵𝟬 𝗟𝗣𝗔)

Experience: 10+ yrs

• Location: Banglaore
• Job Type: Full-time
• We are looking for an experienced
• Engineering Leader to lead and scale engineering across product, platform, integrations, data, and AI initiatives. The role combines technical leadership, people management, architecture, product delivery, and engineering strategy
• The ideal candidate will be a strong player-coach who can build high-performing engineering teams, drive scalable technology solutions, and partner closely with Product, Design, Operations, and Business stakeholders to deliver high-impact products and platforms.

Requirements

• Key Responsibilities
• Lead engineering strategy and execution across product, platform, integrations, data, and AI initiatives.
• Build, mentor, and scale high-performing engineering teams and technical leadership capabilities.
• Establish a strong engineering culture focused on ownership, quality, collaboration, and continuous improvement.
• Drive hiring, performance management, career development, and leadership development across engineering teams.
• Partner closely with Product, Design, Operations, and Business teams to translate business objectives into scalable technology solutions.
• Own end-to-end engineering delivery for critical product and platform initiatives.
• Drive architectural decisions for scalable, secure, resilient, and cloud-native systems.

Champion

• API-first and platform-first engineering practices and reusable technology capabilities.
• Act as a player-coach, contributing to architecture reviews, technical design discussions, and critical development initiatives.
• Provide technical direction and help teams resolve complex engineering and system-design challenges.
• Drive adoption of modern software development, testing, deployment, and engineering excellence practices.
• Lead the adoption of Generative AI and intelligent automation across products and internal workflows.
• Support development of AI-powered workflows, recommendation engines, conversational experiences, and operational tools.
• Establish appropriate standards for AI governance, observability, security, performance, and responsible adoption
• Evaluate emerging technologies and identify opportunities to improve product capabilities and differentiation.

Scale systems to support

• millions of users, increasing transaction volumes, and evolving business requirements
• Improve platform performance, resilience, monitoring, security, and compliance.
• Drive the design and operation of highly available, fault-tolerant, and reliable distributed systems.
• Establish engineering metrics and continuously improve delivery efficiency, system reliability, and product quality.

What Makes You a Great Fit

10+ years of experience in software engineering, technology leadership, engineering management, or a related field.

Proven experience leading and scaling

• high-performing engineering teams across multiple technology domains.
• Strong hands-on understanding of software architecture, distributed systems, APIs, cloud-native platforms, and scalable application development
• Experience driving end-to-end product and platform engineering initiatives in high-growth or complex technology environments.
• Strong understanding of modern engineering practices, system reliability, security, observability, and performance optimisation.
• Experience with AI/ML, Generative AI, intelligent automation, or AI-powered product capabilities is highly desirable.
• Ability to balance strategic leadership with hands-on technical contribution and architecture-level decision-making.
• Strong experience partnering with Product, Design, Business, Operations, and senior leadership teams.
• Proven ability to build engineering culture, mentor leaders, develop talent, and drive organisational growth.
• Strong problem-solving skills with the ability to navigate complex technical and business challenges.
• Excellent understanding of engineering delivery, quality standards, CI/CD, testing, monitoring, and operational excellence.
• Strong communication, stakeholder-management, and influencing skills.
• Ability to operate effectively in a fast-paced environment while managing multiple priorities and long-term technology strategy.
• A Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related discipline is preferred.