
Job Overview
Location
Bangalore, India
Job Type
Full-time
Category
Software Engineering
Date Posted
March 19, 2026
Full Job Description
đź“‹ Description
- • As a Sr. Engineer, Knowledge Engineering at Coupa Software Inc., you will play a pivotal role in advancing the company’s AI-driven spend management platform by transforming complex enterprise data into structured, machine-readable knowledge representations. Your work will directly enable Coupa’s AI to reason over vast networks of spend data—spanning suppliers, contracts, commodities, purchase orders, invoices, and more—to deliver predictive, prescriptive, and automated insights that improve operating margins for global enterprises. This role is critical to Coupa’s mission of making margins multiply through community-generated AI, where your contributions will help turn trillions of dollars of anonymized spend data into actionable intelligence.
- • Day to day, you will design, develop, and maintain ontologies and knowledge graphs that formally represent entity relationships across Coupa’s platform, ensuring semantic consistency and scalability for AI reasoning. You will collaborate closely with data scientists, AI researchers, and product engineers to translate business domain knowledge into formal logical structures using standards such as RDF, OWL, or property graph models. You will implement and optimize knowledge graph pipelines using graph databases (e.g., Neo4j, Amazon Neptune) and SPARQL or Gremlin query languages, integrating them with machine learning workflows to enable multi-hop reasoning over spend data. You will also contribute to the evaluation and improvement of knowledge graph quality through metrics like completeness, coherence, and alignment with downstream AI model performance.
- • You will participate in agile development cycles, contributing to technical design reviews, writing clean, testable, and well-documented code, and mentoring junior engineers on knowledge representation best practices. You will stay current with advancements in semantic web technologies, knowledge graph construction, and AI reasoning techniques, proposing innovations that enhance Coupa’s competitive edge in intelligent spend management. Additionally, you will help define and enforce data governance practices around knowledge assets, ensuring they are reusable, version-controlled, and aligned with enterprise data standards.
- • The Knowledge Engineering team at Coupa operates at the intersection of AI, data engineering, and enterprise software, working within a collaborative, transparent culture that values innovation and technical excellence. You will be part of a global team that leverages Coupa’s unique network effect—drawing insights from 10M+ buyers and suppliers across industries—to build AI systems that are not only powerful but also interpretable and trustworthy. The team’s work is foundational to Coupa’s AI capabilities, enabling features like spend classification, anomaly detection, supplier risk scoring, and automated contract intelligence.
- • In this role, you will deepen your expertise in knowledge representation, semantic technologies, and enterprise AI systems—skills that are increasingly vital in the era of generative AI and intelligent automation. You will have the opportunity to see your work directly impact product features used by Fortune 500 companies, gaining visibility into how structured knowledge drives real-world business outcomes. You will grow as a technical leader, influencing architectural decisions and contributing to Coupa’s long-term AI strategy, while working in a supportive environment that encourages continuous learning, experimentation, and professional development.
Skills & Technologies
About Coupa Software Inc.
Coupa Software provides a cloud-based Business Spend Management platform that unifies procurement, invoicing, expense management, sourcing, contract lifecycle, supplier risk, payments, treasury, and analytics into a single user experience. It automates workflows, enforces policy and compliance, delivers real-time visibility, and leverages AI-driven insights to help global enterprises control spend, improve margins, and reduce risk across direct and indirect goods, services, and contingent labor.
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