Remote Jobs at Shelf
Shelf
SaaS • Enterprise • Artificial Intelligence
Shelf is a company specializing in next-generation knowledge management solutions aimed at improving data quality for enterprises using Generative AI (GenAI). Established in 2017, Shelf helps organizations eliminate bad data in documents to ensure more accurate and trusted GenAI answers. Recognized for its contributions to unstructured data quality management, Shelf assists companies in deploying GenAI with confidence by providing transparency over data sources and offering strategies to prevent poor data from corrupting GenAI outputs. With a reputation for enhancing the quality of content across various industries, their platform is acclaimed by major clients like Amazon, Lufthansa, and the Mayo Clinic for improving knowledge content consistency and accuracy. Shelf's comprehensive technology integrations and readiness solutions support enterprises in overcoming the data quality challenges in AI projects.
51 - 200 employees
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
October 21
Alliance Account Executive serving as the bridge between partners and customer acquisition, focusing on closing partner-sourced accounts. Documenting successful sales processes for scalable revenue growth.
🇺🇸 United States – Remote
💵 $135k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑💼 Account Executive
🦅 H1B Visa Sponsor
October 9
Director of Account Management leading customer expansion and retention strategies in a SaaS company focused on AI data solutions and partnerships.
August 27
Job not on LinkedIn
Senior Backend Node.js Developer building distributed systems that make enterprise GenAI work. Design petabyte-scale architectures, databases, and pipelines.
July 30
Seeking a Manager, FP&A to drive financial analysis and planning for Shelf, an AI data strategy company.
🗽 New York – Remote
💵 $120k - $150k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
💸 Financial Planning and Analysis (FP&A)
🦅 H1B Visa Sponsor
July 8
Job not on LinkedIn
As a Backend Engineer at Shelf, you'll develop robust data processing backend systems and pipelines.
