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Our Sales & Ops Engineering team in India is looking for an experienced Sr Engineering Manager to lead within the RAD (Rapid Application Development) Engineering organization.
Description
This critical role requires a blend of strong technical acumen, exceptional leadership skills, and a passion for driving business impact through technology. As a manager of managers, you will oversee multiple engineering teams and their respective managers, leading the design, delivery, and scaling of large, complex business web applications that power Ops functions globally - while building and growing a high-performing engineering organization in India and partnering closely with cross-regional and cross-functional stakeholders to drive overall business growth.
","responsibilities":"Lead, mentor, and grow a high-performing team of engineers, fostering a culture of technical excellence, ownership, and continuous improvement, with a strong focus on people development and career growth.
Operate as a manager of managers, leading multiple engineering teams through their respective Engineering Managers/Leads - setting direction, holding managers accountable for delivery and team health, and ensuring consistency in engineering standards and practices across teams.
Coach and develop first-line managers, helping them grow into stronger leaders through regular 1:1s, feedback, delegation, and succession planning.
Own the end-to-end delivery of large-scale, complex business web applications - from architecture and design through development, testing, and production rollout - across multiple concurrent work-streams and teams.
Balance workload, priorities, and resourcing across multiple teams, ensuring the right talent is aligned to the right initiatives at the right time.
Partner with cross-regional and cross-functional teams (Business,UX, QA, Support and Engineering peers across geographies) to align on priorities, dependencies, and delivery timelines.
Build and scale a high-performance engineering organization in India, establishing strong engineering practices, hiring pipelines, and career frameworks that support long-term talent growth across all levels - from individual contributors to managers.
Drive business engagement from India, acting as a trusted technical partner to business stakeholders and representing India engineering's voice in broader organizational strategy and roadmap discussions.
Define and evolve engineering best practices, architectural standards, and delivery frameworks to ensure scalable, maintainable, and high-quality solutions across all teams under their purview.
Identify and drive adoption of GenAI-powered efficiencies across the software development lifecycle - including code generation, code review assistance, documentation, and test case generation - while establishing strong review checkpoints, validation gates, and quality guardrails to ensure GenAI-assisted output meets the same rigor and reliability bar as traditionally engineered work.
Balance the speed and efficiency gains from GenAI tooling with a disciplined approach to quality assurance, ensuring outcomes remain accurate, secure, maintainable, and free of unintended technical debt.
Manage competing priorities across multiple teams and concurrent projects, balancing short-term delivery needs with long-term technical and organizational health.
Communicate effectively with stakeholders at all levels - including senior leadership - articulating technical strategy, project status, risks, and trade-offs clearly and confidently.
Identify trends, measure delivery and quality metrics, and drive data-driven decisions to continuously improve team and project outcomes.
Maintain strong attention to detail across strategic planning, people management, and technical execution.
Preferred Qualifications
Experience with cloud platforms (AWS, GCP), micro-services architecture, and CI/CD practices for enterprise-grade application delivery.
A clear point of view on people growth - proven ability to build career frameworks, mentor engineers and future leaders (including first-line managers), and cultivate high-performance, inclusive team cultures.
Track record of building or significantly scaling engineering teams in India, including hiring strategy and organizational design across multiple teams.
Excellent analytical and quantitative skills, with a data-driven approach to problem-solving and decision-making.
Superior communication (written and verbal), presentation, and interpersonal skills, with the ability to influence and collaborate effectively across all levels, including with senior leadership and global peers.
Strong understanding of software engineering principles, delivery methodologies (Agile/Scrum), and an engineering mindset to solve complex business and technical problems.
Minimum Qualifications
17+ years of experience in software engineering, with at least 5+ years in a people/engineering management role, leading teams delivering large, complex business applications.
Proven experience operating as a manager of managers, having directly led other engineering managers/leads and overseen multiple teams simultaneously, with accountability for org-wide delivery and team health.
Demonstrated ability to manage and scale multiple engineering teams in parallel, balancing resourcing, priorities, and delivery timelines across concurrent initiatives.
Proven track record of architecting and delivering large-scale, complex web applications supporting critical business functions (e.g., Sales, Operations, or enterprise business platforms).
Demonstrated experience working across cross-regional and cross-functional teams in a large, global enterprise environment, navigating multiple timezones, geographies, and organizational structures.
Strong experience in business engagement - able to build trusted relationships with business stakeholders from India, influence roadmap and strategy, and represent engineering's perspective in business conversations.
Hands-on background in modern web application development (front-end and back-end), with working knowledge of relevant languages, frameworks, and architectural patterns for scalable enterprise systems.
Practical experience driving GenAI adoption within engineering teams - for example, using GenAI tools to accelerate development, testing, and documentation - paired with a clear framework for validating output quality, mitigating risk, and maintaining engineering standards.
Bachelors / Masters degree in Computer Science or Information Technology from a reputed school
