# Senior Engineering Manager - B2B

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-09-10

**Salary:** INR 4,000,000–9,000,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

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.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/BEA3D73D63/apply)

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