As a Knowledge Graph Engineer, you will design and implement knowledge graph solutions, manage client engagements, and collaborate across teams for semantic modeling and customer success.
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:
https://squirro.com/
Squirro New York, New York, USA Office
33 Irving Pl, New York, NY, United States, 10003
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Sell ServiceNow cybersecurity and risk solutions to financial services clients. Build C-suite relationships, drive new business from a SaaS license model, orchestrate cross-functional account strategies, negotiate deals, and meet sales targets while advising on AI and IT roadmap integration.
Top Skills:
AIArmisSaaSServicenowVeza
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead and grow AWS-focused ServiceNow sales across Banking, Insurance, and Wealth Management in the Americas. Develop and execute AWS sales plans, build executive relationships, drive pipeline and quota attainment, negotiate complex contracts, coordinate cross-functional teams (solutions, partners, product, ops), evangelize joint AWS-ServiceNow solutions, manage reporting and customer references, and support events and enablement to deliver high-value customer outcomes.
Top Skills:
AWSAws Cloud PractitionerNowsellServicenowValue Prompter
Big Data • Information Technology • Software • Analytics • Energy
Lead design and build of scalable backend systems and data platforms; own architecture and production deployments; improve reliability, performance, and observability; mentor engineers and collaborate with Product, Data Science, SRE, and Security.
Top Skills:
ArgoAWSAws BedrockClaudeClickhouseDockerGoGrafanaHoneycombKafkaKubernetesLangchainMySQLPulumiPythonRustSentryTerraform
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
