Manager, DevOps and Engineering
$125k - $198.67kCoupa
Manager of AI Platform DevOps Team
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.
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.
- Coordinate delivery with US-based technical leadership across time zones.
- 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 AI/ML Engineering Lead on technical direction.
- Remove blockers, manage cross-team dependencies, and ensure smooth collaboration.
- Hire, retain and motivate top talent on the team by fostering a culture of innovation, speed, and continuous improvement.
- Define long-term roadmap and drive release planning and execution
What You Will Bring to Coupa:
- Agile team management experience of at least 4 years as Engineering Manager and 10+ years of engineering experience.
- Enterprise AI platform infrastructure development experience, ideally both in leadership and contributor roles
- Ability to support and mentor both individuals and teams.
- Good functional understanding of enterprise SaaS products
- Experience building enterprise grade, scalable, cost-efficient, secure AI/ML platforms with a focus on resiliency, automation, observability.
- Deployment and Life cycle Management of LLM & Embedding Models (OpenAI, AWS Bedrock, Amazon SageMaker) and Vector Databases like LanceDB
- Exposure to evaluation of new products and technologies like RAG, MCP servers, AI Agents, Agentic Workflows, LangChain etc.
- Manage AWS core & AI /GenAI services (S3, IAM, EKS, Bedrock, etc..), Kubernetes, IaC (Terraform).
- A leader who thrives in fast-moving environments, motivates teams, and embraces innovation.
- Experience managing distributed teams across time zones (US-India coordination preferred).
- Strong communication skills across geographies.
- BS/MS in Computer Science or equivalent experience.
The estimated pay range for this role is $125,000 - $198,667. The starting salary for the successful candidate will be based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
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.
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