About Prineet Kaur
Content systems specialist, focused on building content design systems, structured knowledge & AI-enabled workflows that encourage self-serve enablement. I’ve worked on auditing content, defining writing systems, designing frameworks, validation & governance layers, and building infrastructure that allows teams to produce consistent and high-quality content at scale (across user journeys & languages).
English
Native or bilingual
French
Fluent
Can work on-site
Paris (up to 50km)
Experience
- INDEPENDENTAI Content Systems, Knowledge Design and Tech BloggingJanuary 2024 - Today (2 years and 5 months)Paris, FranceDesigning AI-powered content workflows (promptsystems,structuredknowledgepipelines), building frameworks for AI-enabled scalable documentation and self-serve learning using LLM-based approaches (including:AISystemforContentQuality, DesigningContentSystems(LayerbyLayer),AI-FirstKnowledgeArchitecture,andAIPipelineforTechnicalDocumentation) Writing for Publications (eg:ScalingContentSystems,InfralayerofAIDocs,ContentforAISystemSuccess,AIAgentArchitecture) (Completed450+ hoursofFrenchlanguagetraining, travelledto9countries,andclearedcivicexam&interviewforFrenchnationality)
- PLATFORM.SH [nowUpsun]Technical Product Manager (Infrastructure)January 2022 - January 2023 (1 year)Paris, FranceLed infrastructure-facing platform features, improving dev workflows in collaboration with platform, engineering & design teams Owned clarity, structure & consistency of technical content across design & engineering (ensuringaligneddesign-to-docflows) Authored technical enablement content for infra capabilities (includinglogsforwarding,extendedmetrics,&automatedreporting) Drove pre-launch enablement and post-launch support for internal teams, thereby reducing observability-related queries by 40%
- FOREPAAS [now OVHDataCloud]Product Manager (KnowledgeSystems)June 2021 - November 2021 (5 months)Paris, France[2021-2021]Owned dev-facing knowledge base creation for the platform's analytics features, ensuring clarity across all technical use cases Designed structured knowledge flows across user journeys (toensureconsistent,localized&intent-drivenproductexperiences) Built onboarding & learning content for complex integrations, improving self-serve adoption & reducing implementation friction Standardized product terminology and in-product messaging (acrossUI/documentation), reducing ambiguity across workflows
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Education
- Masters in Data Science - Full Time, Grade A (GPA 3.72)IESEG School of Management2022
- MBA (Marketing, IT & Strategy) - Full timeIndian Institute of Management, Indore2013