Knowledge Graph Engineer

🕒 June 26

🗽 New York – Remote

🗽 New York – Remote

💵 $100k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

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Squirro

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

💳 Fintech

Artificial Intelligence • Enterprise • Fintech

Squirro is a company that specializes in providing enterprise-grade generative AI solutions for organizations. They offer a robust platform featuring AI capabilities designed to enhance enterprise search, workflow automation, and knowledge management. Squirro's solutions involve privacy and security measures, leveraging components like insight engines, data classification, and connectors for popular platforms such as Confluence, SharePoint, and Salesforce. Their products aim to streamline processes, enhance decision-making, and improve productivity across various business functions, including risk management, service management, and sales management. Squirro is recognized as an innovative player in the AI and FinTech sectors and is featured in Gartner's 2024 Market Guide for Conversational AI Platforms and the AI FinTech100 Awards.

📋 Description

• Manage client engagements from pre-sales through onboarding, deployment, and training, ensuring successful adoption of knowledge graph–based solutions. • Develop and maintain taxonomies, ontologies, and classification models. • Design semantic structures that align user needs with business objectives. • Collaborate with product, engineering, and delivery teams to translate customer requirements into scalable semantic and technical solutions. • Gather and prioritize client requirements, contribute ideas to the product roadmap, and support product positioning through demos, content, and customer-facing activities.

🎯 Requirements

• Strong Python experience • Experience in customer-facing roles within software or SaaS environments • Strong communication and presentation skills • Practical experience developing taxonomies, ontologies, and knowledge graphs • Experience managing human and/or machine classification • In-depth knowledge of semantic web standards (RDF, SKOS, OWL, SPARQL) • Familiarity with graph databases, particularly RDF graph databases • Familiarity with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) • Ability to collaborate effectively across technical and non-technical teams

🏖️ Benefits

• Drive growth in a dynamic, high-potential tech environment • Enjoy autonomy with our "freedom and responsibility" work approach • Collaborate with exceptional talent solving extraordinary challenges • Drive customer success and retention while enjoying a flexible environment focused on growth • Make a strategic impact while having fun with awesome colleagues