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.
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.
Similar Jobs at Coupa
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
Lead and evolve Coupa's LLM/GenAI platform: define architecture and strategy, build MLOps pipelines, manage deployment/lifecycle of LLMs and embeddings, implement IaC and multi-cloud infrastructure, mentor platform engineers, ensure reliability, observability, and enterprise-grade scalability/security.
Top Skills:
Agentic WorkflowsAi AgentsAmazon SagemakerAWSAws BedrockCi/CdDockerEksGCPGkeGoIamJavaKubernetesLancedbLangchainMcp ServersMlopsOpenaiPythonRagS3TerraformVector Databases
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
The Principal Engineer, AI/ML Architecture will define the technical direction for Coupa's AI platform, focusing on model training, evaluation, safety standards, and mentoring a team of ML and data engineers.
Top Skills:
Cloud Ai/Ml ServicesPythonPyTorch
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
Lead strategy and delivery for Coupa's AI platform, expanding model training, serving, and data infrastructure. Build and manage distributed ML, data engineering, and platform teams across the US and India, manage vendor partnerships and budgets, ensure data safety and responsible AI, and present results to executive stakeholders.
Top Skills:
Cloud InfrastructureData PipelinesData Quality FrameworksFine-TuningFrontier Model IntegrationsModel ServingModel TrainingProduction MlRagResponsible AiTenant Isolation
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
