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Sr Manager, Software Engineering - 11790

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillio

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Coupa Bangalore, Bangalore, India Source published Jul 31, 2026 Verified 49 minutes ago
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Overview

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillio

Full job description

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.

Why join Coupa? Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence. Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.

The Impact of a Sr Manager, Software Engineering at Coupa: We are seeking a strategic and hands-on Director of AI Data Science to lead the development, deployment, and governance of advanced AI systems across Coupa’s platform. This role sits at the intersection of machine learning, data strategy, and product innovation. You will define how AI models are built, evaluated, and scaled—driving excellence in model performance, MLOps, and data quality. A key part of your mandate will be establishing robust “golden datasets,” advancing AI observability, and ensuring our systems are accurate, reliable, and responsibly deployed. This leader will partner closely with Engineering, Product, and Platform teams to embed AI into core business workflows, while setting the standard for responsible and trustworthy AI.

Domain Leadership: Manage 2-3 engineering pods (10–15+ engineers and potentially subordinate leads/managers), driving the execution of our cloud platform strategy and UI modernization. Metrics-Driven Execution: Measure and track the progress of feature development, quality of the code, and productivity of the teams. Work with other engineering leaders to continuously improve overall development workflows. Architectural Strategy: Partner with Architects to drive technical roadmaps. Oversee the evolution of legacy monolithic applications into scalable .NET microservices and responsive React micro-frontends. Organizational Growth: Partner with the recruiting team through the entire hiring process—sourcing, interviewing, and onboarding. Create action plans for both under- and high-performing team members. Process Improvement: Drive continuous process improvements and innovation. Be a subject matter expert, lead the team by example, and exert strategic influence across departments.

Experience: 5+ years of engineering management experience, with at least 8+ years of prior hands-on experience in web application or platform development. Technical Expertise: Strong background in distributed systems, REST/GraphQL interfaces, modern .NET Core architectures, and complex React SPA deployments. Strategic Vision: Experience establishing and reviewing business metrics, with the ability to articulate and provide visibility to the team on how new features meet those metrics. Problem Solving: Proven ability to manage priorities, set appropriate expectations with peer engineering management, and deliver complex, multi-quarter features on time with high quality. Talent Development: Ability to identify the training needs of various team members and ramp new hires on products, processes, and technology rapidly.

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