Squirro
Knowledge Graph Engineer
New York, New York, United States
Sponsorship not specifiedDetected 33 days ago
PythonLLMsRAGAgentic AIProduct StrategyCustomer SuccessCommunicationCollaboration
About the role
- Squirro powers agentic AI applications that are grounded in the organization's unique enterprise ontology.
- Further information about AI-driven business insights can be found at: https://squirro.com/
Responsibilities
- Client Engagement & Solution Delivery: Manage client engagements from pre-sales through onboarding, deployment, and training, ensuring successful adoption of knowledge graph-based solutions.
- Semantic Modeling & Knowledge Graph Design: Develop and maintain taxonomies, ontologies, and classification models. Design semantic structures that align user needs with business objectives.
- Cross-functional Collaboration: Collaborate with product, engineering, and delivery teams to translate customer requirements into scalable semantic and technical solutions.
- Product Contribution & Customer Feedback: Gather and prioritize client requirements, contribute ideas to the product roadmap, and support product positioning through demos, content, and customer-facing activities.
- Semantic Modeling & Knowledge Graph Design: Develop and maintain taxonomies, ontologies, and classification models.
- Design semantic structures that align user needs with business objectives.
- 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.
- Collaborate with product, engineering, and delivery teams to translate customer requirements into scalable semantic and technical solutions.
Requirements
- Strong Python experience
- Experience in customer-facing roles within software or SaaS environments
- 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)
- You will support the Product and Delivery functions in building and deploying high-quality semantic solutions.
- Strong communication and presentation skills
- Practical experience developing taxonomies, ontologies, and knowledge graphs
- Ability to collaborate effectively across technical and non-technical teams
- What we offer
- 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
Benefits
- Drive customer success and retention while enjoying a flexible environment focused on growth
Company info
- We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery team in designing, implementing, and deploying knowledge graph-driven SaaS solutions for enterprise customers.
- As a Knowledge Graph Engineer, you will work closely with customers and internal product and engineering teams to design and deploy semantic and knowledge graph solutions that deliver measurable business value.
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This listing is sourced directly from Squirro's careers page and normalized into a canonical job model.