Solutions Engineer

🕒 December 18, 2025

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

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Shelf

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

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.

📋 Description

• Lead independent POV engagements with enterprise prospects, designing custom ontologies and configuring solutions within 3-5 day cycles • Conduct technical discovery and present solutions to Data Engineers, Enterprise Architects, and AI/ML Engineers • Support Account Executives throughout sales cycles with primary ownership during technical evaluation and POV phases • Work directly with Engineering on technical challenges and custom implementations during POVs • Continue engagement through deal closing and initial customer onboarding alongside Customer Success • Support existing customer expansion opportunities as part of land-and-expand strategy • Collaborate with Field CTO to build reusable ontology templates and POV best practices

🎯 Requirements

• 7-10+ years in technical pre-sales, data engineering, solutions architecture, or similar customer-facing technical roles • Strong expertise in data modeling, data platforms, and ETL/data pipelines • Experience with knowledge graphs, ontologies, or semantic technologies strongly preferred • Proficiency in scripting and automation (Python preferred) • Hands-on experience with AI coding tools (Claude Code, Cursor, GitHub Copilot, etc.) • Deep understanding of enterprise data platforms and cloud architectures (AWS, Azure, GCP) • Proven track record in customer-facing technical roles with demonstrated sales impact • Exceptional presentation and communication skills with technical and business audiences • Bachelor's degree in Computer Science, Engineering, Data Science, or related field • Experience in B2B SaaS, AI/ML, or data quality solutions preferred

🏖️ Benefits

• Competitive salary, equity, & benefits • Realistic, clearly communicated expectations • Team-wide aligned values and goals • Comprehensive health and wellness packages