The Sr. Manager, Data & AI Platform will lead an engineering team in India focusing on data infrastructure for AI capabilities, managing delivery, and ensuring technical quality.
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, Data & AI Platform at Coupa:
Coupa's data platform processes trillions of dollars of spend data across hundreds of enterprise tables, powering production ML models and AI-driven features used by thousands of customers. The Sr. Manager, Data & AI Platform will lead and grow the India-based engineering team that builds the data infrastructure underpinning our AI capabilities. You will manage delivery, coordinate with the US team, and build a high-performing team focused on data pipelines, data quality, and AI data infrastructure.
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
- 8+ 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.
Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.
Please be advised that inquiries or resumes from recruiters will not be accepted.
By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.
Top Skills
ETL
Pyspark
Spark
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The Sr. Lead AI Engineer will develop data pipelines for training AI models, ensuring data quality and processing large-scale enterprise spend data.
Top Skills:
SparkCloud InfrastructureData Catalog ToolsETLManaged SparkObject StoragePysparkPythonSQL
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