What You’ll Do
- Lead the strategy, design, and delivery of AI/ML models (including Generative AI use cases) across multiple product domains.
- Establish and scale MLOps practices to enable reliable, reproducible, and efficient model development and deployment.
- Define and operationalize golden datasets, including data curation, labeling standards, and evaluation frameworks.
- Own model performance: define KPIs, implement continuous evaluation, and drive ongoing improvements in accuracy, robustness, and latency.
- Build and advance AI observability, monitoring, and feedback loops to ensure model transparency and trust.
- Partner cross-functionally with Engineering, Product, Data, and Platform teams to integrate AI into production systems and user experiences.
- Establish and enforce Responsible AI practices, including fairness, bias mitigation, explainability, and compliance.
- Lead, mentor, and grow a high-performing global team of data scientists and ML engineers.
- Influence executive stakeholders by translating complex AI concepts into clear business impact and strategy.
What You Will Bring to Coupa
- 10+ years of experience in Data Science, Machine Learning, or AI, with 3–5+ years in leadership roles managing high-performing teams.
- Strong expertise in machine learning, deep learning, and statistical modeling, with experience in production environments.
- Proven track record of delivering scalable, production-grade AI systems that drive measurable business impact.
- Hands-on experience with modern MLOps ecosystems (e.g., SageMaker, Vertex AI, Databricks, Kubeflow, MLflow).
- Deep experience with data strategy, including dataset creation, labeling, governance, and evaluation methodologies.
- Familiarity with Generative AI / LLMs, prompt engineering, fine-tuning, and evaluation techniques.
- Strong programming skills in Python and experience with frameworks such as TensorFlow, PyTorch, or similar.
- Excellent leadership, communication, and stakeholder management skills.
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field (PhD preferred).
Skills Required
- 10+ years of experience in Data Science, Machine Learning, or AI
- 3-5+ years in leadership roles managing high-performing teams
- Strong expertise in machine learning, deep learning, and statistical modeling
- Proven track record of delivering scalable, production-grade AI systems
- Hands-on experience with modern MLOps ecosystems
- Deep experience with data strategy and governance
- Strong programming skills in Python
- Excellent leadership, communication, and stakeholder management skills
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field
Coupa Compensation & Benefits Highlights
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Healthcare Strength — Health, dental, vision, and mental‑wellness resources for employees and dependents begin on the first day of employment. Recent updates to health‑insurance programs this year indicate active management of core coverage.
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Leave & Time Off Breadth — Flexible Time Off, floating holidays, paid parental leave, and dedicated volunteer time off are emphasized as part of standard offerings. A global minimum vacation allowance outside the U.S. is also advertised.
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Retirement Support — Competitive compensation is paired with retirement savings programs, including a U.S. 401(k) with company match. An Employee Stock Purchase Plan is also referenced as part of long‑term financial support.
Coupa Insights
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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Coupa Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Our virtual-first approach is intentional. It gives you the freedom to do your best work in a space that supports focus, balance, and creativity, while staying connected to a global team of changemakers who are redefining the future of business spend


















