The Role
Lead the development and governance of AI systems at Coupa, driving excellence in model performance and MLOps while mentoring a team of data scientists and ML engineers.
Summary Generated by Built In
Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.
Why join Coupa?
🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.
🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.
🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.
Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.
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).
Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.
Please be advised that inquiries or resumes from recruiters will not be accepted.
By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.
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
What the Team is Saying
Aditya Maheshwari
Sr. Software Engineer, Cloud
Alex Moon
Operations Analyst, Order Management
Jose Miguel Jimenez
Procurement
Jessica Fonseca
Technical Support Specialist
Daniela Aristizábal
Associate Planning & Operations Analyst
Coupa Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, and mental‑health resources from day one. Plan breadth and wellness support are consistently emphasized.
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Leave & Time Off Breadth — Time off includes flexible or unlimited PTO, paid parental leave, floating holidays, and dedicated volunteer time. Remote‑friendly practices are noted to support taking time away.
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Parental & Family Support — Family‑building and caregiving supports include fertility benefits, generous parental leave, and resources for adoption and elder care. Return‑to‑work assistance and an onsite Mother’s Room are highlighted.
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The Company
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
Remote Workspace
Employees work remotely.
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
Typical time on-site:
HR
Ann Arbor
Bangalore office
Bogotá, CO
Boston, MA
Chicago, IL
Dubai, Dubai 48800
Hyderabad office
São Paulo, BR
Shivaji Nagar, IN
Singapore, SG
Tokyo Office
Uppsala, SE
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