Key skills
AI platform infrastructure developmentEnterprise SaaS productsAI/ML platform scalabilityAI/ML platform automationAI/ML platform observabilityOpenAIAWS BedrockAmazon SageMakerVector databasesLanceDBRAGMCP serversAI AgentsAgentic workflowsLangChainAWS core servicesAWS GenAI servicesAmazon S3AWS IAMAmazon EKSKubernetesInfrastructure as CodeTerraformAIMLGenAILLMAgenticAWSEKSS3IAMSageMakerBedrockSaaSAgileLeadershipCommunicationCollaboration
About this role
Coupa is a company that leverages AI and total spend management platforms to empower businesses. The Manager of AI Platform DevOps will lead a global team, ensuring the reliability and scalability of AI platform services while coordinating with teams across the US and India.
Responsibilities:
- 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
Requirements:
- 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