Senior Engineering Manager - B2B
Weekday AI (YC W21) ยท Bengaluru, Karnataka, India
Apply & track with Apply Edge๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฐ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ต๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฐ๐ฌ-๐ต๐ฌ ๐๐ฃ๐)Experience: 10+ yrs
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.RequirementsKey ResponsibilitiesLead engineering strategy and execution across product, platform, integrations, data, and AI initiativesBuild, mentor, and scale high-performing engineering teams and technical leadership capabilitiesEstablish a strong engineering culture focused on ownership, quality, collaboration, and continuous improvementDrive hiring, performance management, career development, and leadership development across engineering teamsPartner closely with Product, Design, Operations, and Business teams to translate business objectives into scalable technology solutionsOwn end-to-end engineering delivery for critical product and platform initiativesDrive architectural decisions for scalable, secure, resilient, and cloud-native systemsChampion API-first and platform-first engineering practices and reusable technology capabilitiesAct as a player-coach, contributing to architecture reviews, technical design discussions, and critical development initiativesProvide technical direction and help teams resolve complex engineering and system-design challengesDrive adoption of modern software development, testing, deployment, and engineering excellence practicesLead the adoption of Generative AI and intelligent automation across products and internal workflowsSupport development of AI-powered workflows, recommendation engines, conversational experiences, and operational toolsEstablish appropriate standards for AI governance, observability, security, performance, and responsible adoptionEvaluate emerging technologies and identify opportunities to improve product capabilities and differentiationScale systems to support millions of users, increasing transaction volumes, and evolving business requirementsImprove platform performance, resilience, monitoring, security, and complianceDrive the design and operation of highly available, fault-tolerant, and reliable distributed systemsEstablish engineering metrics and continuously improve delivery efficiency, system reliability, and product qualityWhat Makes You a Great Fit10+ years of experience in software engineering, technology leadership, engineering management, or a related fieldProven experience leading and scaling high-performing engineering teams across multiple technology domainsStrong hands-on understanding of software architecture, distributed systems, APIs, cloud-native platforms, and scalable application developmentExperience driving end-to-end product and platform engineering initiatives in high-growth or complex technology environmentsStrong understanding of modern engineering practices, system reliability, security, observability, and performance optimisationExperience with AI/ML, Generative AI, intelligent automation, or AI-powered product capabilities is highly desirableAbility to balance strategic leadership with hands-on technical contribution and architecture-level decision-makingStrong experience partnering with Product, Design, Business, Operations, and senior leadership teamsProven ability to build engineering culture, mentor leaders, develop talent, and drive organisational growthStrong problem-solving skills with the ability to navigate complex technical and business challengesExcellent understanding of engineering delivery, quality standards, CI/CD, testing, monitoring, and operational excellenceStrong communication, stakeholder-management, and influencing skillsAbility to operate effectively in a fast-paced environment while managing multiple priorities and long-term technology strategyA Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related discipline is preferred