Senior Engineering Manager - B2B

Weekday 1; Bengaluru; On-site; INR 4,000,000 - 9,000,000; Full time

Job summary

Weekday 1 is seeking an experienced Engineering Leader to scale engineering across product, platform, integrations, data, and AI initiatives. You will be a hands-on leader capable of driving architectural decisions, setting engineering standards, and aligning with business goals from Bengaluru.

The role requires building high-performing teams, fostering ownership and quality, and partnering with Product, Design, Operations, and Business to deliver scalable platforms.

Qualifications

• 10+ years of software engineering and technology leadership experience.

Responsibilities

• Lead engineering strategy and execution across product, platform, integrations, data, and AI initiatives.

Skills

Engineering Leadership

People Management

Architecture

Product Delivery

AI Initiatives

Cloud-native

APIs

Platform-first

Player-coach

Generative AI

Education

Bachelor's or Master's in CS/Engineering/IT

Job description

This role is for one of the Weekly'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 experiencedEngineering Leaderto lead and scale engineering across product, platform, integrations, data, and AI initiatives. The role combinestechnical 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 acrossproduct, platform, integrations, data, and AIinitiatives.
• 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 withProduct, Design, Operations, and Businessteams 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.
• ChampionAPI-first and platform-firstengineering practices and reusable technology capabilities.
• Act as aplayer-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 ofGenerative AI and intelligent automationacross products and internal workflows.
• Support development of AI-powered workflows, recommendation engines, conversational experiences, and operational tools.
• Establish appropriate standards forAI governance, observability, security, performance, and responsible adoption.
• Evaluate emerging technologies and identify opportunities to improve product capabilities and differentiation.
• Scale systems to supportmillions 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 experiencein software engineering, technology leadership, engineering management, or a related field.
• Proven experience leading and scalinghigh-performing engineering teamsacross multiple technology domains.
• Strong hands-on understanding ofsoftware 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 withAI/ML, Generative AI, intelligent automation, or AI-powered product capabilitiesis 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 inComputer Science, Engineering, Information Technology, or a related disciplineis preferred.