Sr. Manager, Data & AI Platform - 11314

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.

What You’ll Do

• Manage and mentor a team of data engineers, ML engineers, and knowledge engineers in India.
• Coordinate delivery with US-based technical leadership across time zones.
• Drive hiring and onboarding as the India team scales.
• Own sprint planning, delivery cadence, and progress reporting.
• Ensure technical quality through code reviews, architecture discussions, and engineering standards.
• Collaborate with the Principal Architect and ML Engineering Lead on technical direction.
• Remove blockers, manage cross-team dependencies, and ensure smooth collaboration.
• Contribute to data architecture and pipeline design decisions.

What You Will Bring to Coupa

• 10-15+ years of software engineering experience, with 4+ years in engineering management.
• Strong background in data engineering: Spark/PySpark, ETL pipelines, data quality frameworks.
• Experience managing distributed teams across time zones (US-India coordination preferred).
• Track record building and scaling engineering teams in a B2B SaaS environment.
• Understanding of ML/AI systems and data preparation for model training is a strong plus.
• Experience with Agile/Scrum delivery practices.
• Strong communication skills across geographies.
• BS/MS in Computer Science or equivalent experience.