The Role
Prepare and curate enterprise knowledge repositories for AI agents: clean, deduplicate, and reformat unstructured content for RAG; enforce metadata, taxonomy, and governance standards; archive outdated content; report and remediate data rot; and align local content practices with enterprise Data, AI & Analytics to prevent hallucinations and ensure accurate AI-driven decision support.
Summary Generated by Built In
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.
What You'll Do:
- 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.
What You Will Bring to Coupa:
- 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.
Please be advised that inquiries or resumes from recruiters will not be accepted.
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Skills Required
- 3-5 years leading large-scale content auditing, deduplication, and migration initiatives for unstructured documentation
- Designed and implemented metadata frameworks, taxonomy structures, and relational data models
- Deep understanding of large language models (LLMs) and practices to optimize content formatting, labeling, and governance to reduce hallucinations
- Administered and optimized enterprise knowledge management platforms including Confluence and Highspot; experience using Markdown and HTML to standardize content
- Established and enforced data governance standards, taxonomy conventions, and content quality controls across cross-functional teams
- Applied a Red Team approach to evaluate data quality, identify gaps, bias, and inaccuracies, and isolate high-value content
What the Team is Saying
Aditya Maheshwari
Sr. Software Engineer, Cloud
Alex Moon
Operations Analyst, Order Management
Jose Miguel Jimenez
Procurement
Jessica Fonseca
Technical Support Specialist
Daniela Aristizábal
Associate Planning & Operations Analyst
Coupa Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, and mental‑health resources from day one. Plan breadth and wellness support are consistently emphasized.
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Leave & Time Off Breadth — Time off includes flexible or unlimited PTO, paid parental leave, floating holidays, and dedicated volunteer time. Remote‑friendly practices are noted to support taking time away.
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Parental & Family Support — Family‑building and caregiving supports include fertility benefits, generous parental leave, and resources for adoption and elder care. Return‑to‑work assistance and an onsite Mother’s Room are highlighted.
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The Company
What We Do
Coupa is a global technology company that helps businesses run smarter by connecting all the ways they spend money — from procurement and expenses to payments and supply chain decisions — in one intelligent platform. In simple terms, Coupa gives organizations the visibility and control they need to make better financial choices, reduce waste, and drive real impact. It’s where technology meets purpose: helping companies manage their resources more responsibly while creating a positive ripple across their people, partners, and the planet.
Why Work With Us
At Coupa, we prioritize an inclusive and empathetic workplace where every voice is valued. Our teams are proactive and accountable, ensuring we collaborate effectively to achieve our goals. The foundation of our culture rests on our people; we believe in fostering an environment that encourages innovation and curiosity.
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Coupa Offices
Remote Workspace
Employees work remotely.
Our virtual-first approach is intentional. It gives you the freedom to do your best work in a space that supports focus, balance, and creativity, while staying connected to a global team of changemakers who are redefining the future of business spend
Typical time on-site:
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Ann Arbor
Bangalore office
Bogotá, CO
Boston, MA
Chicago, IL
Dubai, Dubai 48800
Hyderabad office
São Paulo, BR
Shivaji Nagar, IN
Singapore, SG
Tokyo Office
Uppsala, SE
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