Manager, DevOps and Engineering

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 Manager, DevOps and Cloud Engineering at Coupa:

AI is reshaping how the world builds, learns, and connects. At our company, we believe the next generation of enterprise software will be powered by AI-driven platforms that are secure, scalable, and built for constant innovation . As our Manager of AI Platform DevOps team , you will lead the team that enables this vision. From CI/CD pipelines, Machine Learning,GenAI, Agentic AI platforms to AI governance and observability , you will define how our engineers build, test, and ship the technologies that power global enterprises. This is your chance to lead & shape the evolution of Coupa's AI platform. You will manage delivery, coordinate with the India & US teams and build a high-performing team focused on ensuring reliability, scalability and automation of AI Platform services & infrastructure.

What You'll Do:

• Manage and mentor a global team of AI platform DevOps engineers.
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• Coordinate delivery with US-based technical leadership across time zones.
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• Own sprint planning, delivery cadence, and progress reporting.
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• Ensure technical quality through code reviews, architecture discussions, and engineering standards.
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• Collaborate with the Principal Architect and AI/ML Engineering Lead on technical direction.
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• Remove blockers, manage cross-team dependencies, and ensure smooth collaboration.
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• Hire, retain and motivate top talent on the team by fostering a culture of innovation, speed, and continuous improvement.
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• Define long-term roadmap and drive release planning and execution
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What You Will Bring to Coupa:

• Agile team management experience of at least 4 years as Engineering Manager and 10+ years of engineering experience.
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• Enterprise AI platform infrastructure development experience, ideally both in leadership and contributor roles
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• Ability to support and mentor both individuals and teams.
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• Good functional understanding of enterprise SaaS products
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• Experience building enterprise grade,scalable, cost-efficient, secure AI/ML platforms with a focus on resiliency, automation, observability.
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• Deployment and Life cycle Management of LLM & Embedding Models (OpenAI, AWS Bedrock, Amazon SageMaker) and Vector Databases like LanceDB
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• Exposure to evaluation of new products and technologies like RAG, MCP servers, AI Agents, Agentic Workflows,LangChain etc.
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• Manage AWS core & AI /GenAI services (S3, IAM, EKS, Bedrock, etc..) , Kubernetes, IaC (Terraform).
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• A leader who thrives in fast-moving environments, motivates teams, and embraces innovation.
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• Experience managing distributed teams across time zones (US-India coordination preferred).
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• Strong communication skills across geographies.
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• BS/MS in Computer Science or equivalent experience.
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The estimated pay range for this role is $125,000 - $162,000

The starting salary for the successful candidate will be based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

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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.


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