Knowledge Graph Engineer
Budget / Salary$100,000–150,000
TypeFull-time job
LocationUnited States
Posted3 hours ago
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.
What You’ll Do
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.
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.
What You Bring
You will support the Product and Delivery functions in building and deploying high-quality semantic solutions.
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
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
Drive customer success and retention while enjoying a flexible environment focused on growth
Make a strategic impact while having fun with awesome colleagues
About Squirro
Squirro is the enterprise AI platform built for regulated industries, streamlining enterprise search and automating complex, custom workflows. Secure, private, scalable, permissions-aware, and fully auditable, the platform ensures that every result is accurate and verifiable. 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:
Salary: USD 100'000-150'000Originally posted on Himalayas
What You’ll Do
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.
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.
What You Bring
You will support the Product and Delivery functions in building and deploying high-quality semantic solutions.
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
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
Drive customer success and retention while enjoying a flexible environment focused on growth
Make a strategic impact while having fun with awesome colleagues
About Squirro
Squirro is the enterprise AI platform built for regulated industries, streamlining enterprise search and automating complex, custom workflows. Secure, private, scalable, permissions-aware, and fully auditable, the platform ensures that every result is accurate and verifiable. 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:
Salary: USD 100'000-150'000Originally posted on Himalayas
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