Senior Director, AI Platform Engineering

• Lead the technical strategy and delivery roadmap for expanding Coupa's AI platform capabilities.
• Build and manage a high-performing engineering team across the US and India, hiring across ML, data engineering, and platform disciplines.
• Drive strategic partnership evaluations with AI infrastructure and model providers.
• Define and prioritize AI use cases that deliver the highest accuracy and business impact, working closely with product leadership.
• Expand model training, evaluation, and serving infrastructure beyond frontier model integrations.
• Own data strategy for AI, ensuring the right data pipelines, quality frameworks, and privacy-safe practices feed model development.
• Coordinate with existing AI platform, data platform, application platform, and cloud operations teams.
• Manage budget, hiring plan, and delivery milestones for the AI platform engineering organization.
• Present strategy, progress, and results to VP/SVP/C-level stakeholders.
• Ensure data safety, tenant isolation, and responsible AI practices across all AI capabilities.

• 15+ years of software engineering experience, with 5+ years in engineering leadership (Director or Sr. Director level).
• Track record building and leading AI/ML engineering teams of 15+ people across multiple geographies.
• Deep technical understanding of ML/AI systems, including model training, fine-tuning, RAG, and model serving. Must be able to evaluate technical decisions and challenge architects.
• Experience delivering AI/ML products in an enterprise B2B SaaS environment.
• Experience scaling engineering teams and shipping complex AI capabilities from concept to production.
• Strong partnership and vendor management experience with major AI and cloud providers.
• Experience with cloud infrastructure at enterprise scale.
• Track record managing distributed teams across US and India.
• Excellent executive communication, translating technical strategy into business impact for C-level audiences.
• Understanding of data privacy, tenant isolation, and responsible AI practices.
• Advanced degree in Computer Science, Engineering, or equivalent practical experience.

Demonstrates expertise in leading AI/ML engineering teams, driving technical strategy, and managing complex AI capabilities in enterprise environments. Proficient in data strategy, model training, and ensuring responsible AI practices while effectively communicating with C-level stakeholders.

• AI/ML Engineering Leadership
• Model Training and Fine-Tuning
• Cloud Infrastructure Management
• Vendor Management with AI Providers
• Executive Communication

• Software Engineering
• AI/ML Systems
• Model Serving
• Data Pipeline Management
• Enterprise B2B SaaS Delivery
• Technical Decision Evaluation
• Distributed Team Management
• Data Privacy Practices
• Tenant Isolation
• Responsible AI Practices

• Strategic Thinking
• Team Building
• Collaboration
• Problem Solving
• Communication

• Advanced Degree in Computer Science
• Advanced Degree in Engineering

• AI Platform
• Machine Learning
• Data Engineering
• Cloud Operations
• Model Training Infrastructure