Engineering Manager
•ExperianHybrid· 11h
💻 Engineering⏰ Full-time🎯 Lead / Principal🇧🇷 São Paulo, Brazil
11h ago
Coupa·about 1 month ago
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.
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
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.