The Sr. Engineer, Knowledge Engineering will design and implement ontologies and knowledge graphs, enabling AI models to reason over enterprise spend data.
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.
The Impact of a Sr. Engineer, Knowledge Engineering at Coupa:
Coupa's platform spans several engines with rich entity models: suppliers, contracts, commodities, purchase orders, invoices, and more. The Senior Engineer, Knowledge Engineering will formalize these entity relationships into a structured knowledge representation that our AI models can reason over. You will build ontologies and knowledge graphs that enable multi-hop reasoning, connecting our AI capabilities to the deep structure of enterprise spend data.
What You’ll Do
- Design and implement an ontology from Coupa's existing data models (hundreds of entity models, relationships, business rules).
- Build and populate a knowledge graph with entity instances and relationship edges.
- Implement graph query interfaces for AI model consumption.
- Design tenant-isolated vs. shared knowledge graph layers.
- Map existing taxonomies and classification hierarchies into the knowledge graph.
- Collaborate with ML engineers to generate ontology-aware training data.
- Evaluate graph storage options (Elasticsearch graph queries, Neptune, Neo4j) and recommend approach.
- Evolve the ontology as AI capabilities expand to additional platform areas.
What You Will Bring to Coupa
- 5+ years of software engineering experience, with 2+ years in knowledge representation, graph systems, or data modeling.
- Experience with graph databases or graph-like query systems (Neo4j, Neptune, Elasticsearch).
- Understanding of ontology design: RDF, JSON-LD, OWL, or pragmatic schema representations.
- Experience with entity resolution and knowledge graph population from structured data.
- Strong data modeling skills: entity-relationship design, hierarchical taxonomies.
- Proficiency in Python and query languages (Cypher, Gremlin, SPARQL, or Elasticsearch DSL).
- Experience with enterprise data models in B2B SaaS is a plus.
- BS/MS in Computer Science or equivalent experience.
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.
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