Senior Engineer, Knowledge Engineering

🕒 June 2

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Coupa Software

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Coupa Software is a leading provider of business spend management solutions. Their platform focuses on optimizing and transforming direct and indirect spend across procurement, finance, supply chain, and IT. Coupa leverages AI and extensive data insights to drive cost efficiencies, manage supplier relationships, and mitigate risks. With products covering areas such as invoicing, payments, expense management, and supply chain collaboration, Coupa serves a wide range of industries including automotive, healthcare, retail, and more. Their comprehensive community and partner ecosystem enable organizations to unlock hidden savings and improve compliance, promoting growth and resilience in a changing economic climate.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Pioneering Technology • Collaborative Culture • Global Impact