Coupa's AI platform already powers conversational and autonomous agents, frontier model integrations, production ML models, and customer-facing AI experiences through Navi and Agent Studio. The Sr. Director, AI Platform Engineering will lead the next phase of this platform, expanding our model training capabilities, deepening our data infrastructure, and scaling our AI-powered features across the full breadth of Coupa's enterprise suite. You will build and lead a team of engineers across the US and India, manage strategic technology partnerships, and deliver measurable improvements to model accuracy, efficiency, and coverage. This role reports to senior engineering leadership with regular visibility to C-level stakeholders.
What You'll Do:
- 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.
What You Will Bring to Coupa:
- 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.
The estimated pay range for this role is $304,667 - $330,000
The starting salary for the successful candidate will be based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Skills Required
- 15+ years of software engineering experience
- 5+ years in engineering leadership
- Experience delivering AI/ML products in an enterprise B2B SaaS environment
- Advanced degree in Computer Science, Engineering, or equivalent practical experience
What the Team is Saying
What We Do
Coupa is a global technology company that helps businesses run smarter by connecting all the ways they spend money — from procurement and expenses to payments and supply chain decisions — in one intelligent platform. In simple terms, Coupa gives organizations the visibility and control they need to make better financial choices, reduce waste, and drive real impact. It’s where technology meets purpose: helping companies manage their resources more responsibly while creating a positive ripple across their people, partners, and the planet.
Why Work With Us
At Coupa, we prioritize an inclusive and empathetic workplace where every voice is valued. Our teams are proactive and accountable, ensuring we collaborate effectively to achieve our goals. The foundation of our culture rests on our people; we believe in fostering an environment that encourages innovation and curiosity.
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