Sr. Associate Knowledge Manager

ColombiaRemoteAssociate-Full Timesenior

OtherKnowledge Manager

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Overview

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small.

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OtherKnowledge Manager

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. Associate Knowledge Manager at Coupa:

As Coupa’s Value Services division shifts to an AI-first operating model, you will serve as the strategic steward of our enterprise knowledge systems. We are not building theoretical taxonomies; your mission is to transform messy, unstructured content into pristine, machine-readable data to power autonomous AI agents. By building "clean data fences," archiving legacy noise, and enforcing strict formatting standards, you will prevent AI hallucinations and ensure our agents operate with absolute accuracy. Ultimately, your data curation will eliminate thousands of hours of manual research, empowering our frontline teams to bypass administrative friction and deliver faster, more strategic outcomes to our customers.

Prepare existing knowledge systems (e.g., Confluence, Highspot) for Retrieval-Augmented Generation (RAG). Clean, deduplicate, and format unstructured content to ensure AI agents ingest only pristine, non-contradictory data.

Certify data sources prior to IT development by enforcing strict metadata labeling, aggressively archiving outdated content, and establishing bounded contexts so LLMs do not hallucinate on legacy garbage.

Convert complex human-readable formats (nested macros, embedded PDFs, poorly structured tables) into clean, standard formats (like Markdown) that can be easily parsed by AI models.

Enforce Golden Data standards. Act as the ruthless gatekeeper for knowledge repositories used by Value Services. Partner with stakeholders to ensure content strictly adheres to "Single Source of Truth" principles before it is approved for agent ingestion.

Establish reporting to identify "data rot" (stale pages, broken links, contradictory policies) and actively remediate it before it impacts AI agent performance.

Act as a strategic liaison to the enterprise Data, AI, & Analytics organization to align local content standards with corporate policies.

L3-5 years having ld large-scale content auditing, deduplication, and migration initiatives, transforming high volumes of unstructured documentation into clean, governed, and AI-ready knowledge repositories.

Designed and implemented metadata frameworks, taxonomy structures, and relational data models to convert unstructured content into structured, searchable, and scalable information architectures.

Applied deep understanding of large language models (LLMs) to optimize content formatting, labeling, and governance practices, improving AI accuracy and reducing hallucination risks.

Administered and optimized enterprise knowledge management platforms including Confluence and Highspot, leveraging Markdown and HTML to standardize content organization and accessibility.

Established and enforced data governance standards, taxonomy conventions, and content quality controls across cross-functional teams without reliance on enterprise taxonomy management tools.

Utilized a critical "Red Team" approach to evaluate data quality, identify gaps, bias, and inaccuracies, isolating high-value content and ensuring reliable AI reasoning, knowledge retrieval, and decision support outcomes.

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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.

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