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/
Similar Jobs
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
The SEO Specialist II enhances clients' online presence through data analysis, local SEO tactics, strategic content implementation, and collaboration with internal teams. They provide performance reports, client support, and ongoing SEO education while managing SEO-related requests and trends.
Top Skills:
CopyscapeDba PlatformGoogle AnalyticsGoogle Search ConsoleLocal FalconMajestic SeoMoz ProSem Rush
Consumer Web • Healthtech • Professional Services • Social Impact • Software
Manage Headway's SEM program, focusing on campaign architecture, budget management, conversion optimization, and collaboration with engineering and data science teams, utilizing AI tools for process improvements.
Top Skills:
Ai ToolsGoogle AdsMicrosoft AdsSQL
Consumer Web • Healthtech • Professional Services • Social Impact • Software
As the Business Development Lead for Care Partnerships, you'll drive mid-market health system partnerships from prospecting to launch, build relationships with leaders in care management, and support enterprise deals alongside your team.
Top Skills:
Communication ToolsCrm SoftwareHealth Tech
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
