Weekday AI
Senior Engineering Manager - B2B
- Bengaluru, India
- Full-time
- Posted
Skills
Job description
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฐ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ต๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฐ๐ฌ-๐ต๐ฌ ๐๐ฃ๐)
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
โขLead engineering strategy and execution across product, platform, integrations, data, and AI initiatives.
โขBuild, mentor, and scale high-performing engineering teams and technical leadership capabilities.
โขEstablish a strong engineering culture focused on ownership, quality, collaboration, and continuous improvement.
โขDrive hiring, performance management, career development, and leadership development across engineering teams.
โขPartner closely with Product, Design, Operations, and Business teams to translate business objectives into scalable technology solutions.
โขOwn end-to-end engineering delivery for critical product and platform initiatives.
โขDrive architectural decisions for scalable, secure, resilient, and cloud-native systems.
โขChampion API-first and platform-first engineering practices and reusable technology capabilities.
โขAct as a player-coach , contributing to architecture reviews, technical design discussions, and critical development initiatives.
โขProvide technical direction and help teams resolve complex engineering and system-design challenges.
โขDrive adoption of modern software development, testing, deployment, and engineering excellence practices.
โขLead the adoption of Generative AI and intelligent automation across products and internal workflows.
โขSupport development of AI-powered workflows, recommendation engines, conversational experiences, and operational tools.
โขEstablish appropriate standards for AI governance, observability, security, performance, and responsible adoption .
โขEvaluate emerging technologies and identify opportunities to improve product capabilities and differentiation.
โขScale systems to support millions of users, increasing transaction volumes, and evolving business requirements .
โขImprove platform performance, resilience, monitoring, security, and compliance.
โขDrive the design and operation of highly available, fault-tolerant, and reliable distributed systems.
โขEstablish engineering metrics and continuously improve delivery efficiency, system reliability, and product quality.
What Makes You a Great Fit
โข10+ years of experience in software engineering, technology leadership, engineering management, or a related field.
โขProven experience leading and scaling high-performing engineering teams across multiple technology domains.
โขStrong hands-on understanding of software architecture, distributed systems, APIs, cloud-native platforms, and scalable application development .
โขExperience driving end-to-end product and platform engineering initiatives in high-growth or complex technology environments.
โขStrong understanding of modern engineering practices, system reliability, security, observability, and performance optimisation.
โขExperience with AI/ML, Generative AI, intelligent automation, or AI-powered product capabilities is highly desirable.
โขAbility to balance strategic leadership with hands-on technical contribution and architecture-level decision-making.
โขStrong experience partnering with Product, Design, Business, Operations, and senior leadership teams.
โขProven ability to build engineering culture, mentor leaders, develop talent, and drive organisational growth.
โขStrong problem-solving skills with the ability to navigate complex technical and business challenges.
โขExcellent understanding of engineering delivery, quality standards, CI/CD, testing, monitoring, and operational excellence.
โขStrong communication, stakeholder-management, and influencing skills.
โขAbility to operate effectively in a fast-paced environment while managing multiple priorities and long-term technology strategy.
โขA Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related discipline is preferred.