Coupa
Coupa

Manager, Cloud Software Engineering - 11469

engineeringfull-timeUS Remote
SALARY
Not specified
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
ai
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About the role

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.
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