Digital Biology
This role focuses on designing, building, and operating the semantic foundation for enterprise-scale AI, intelligent agents, and knowledge-driven applications. The position involves developing the Enterprise Semantic Layer to provide a unified representation of enterprise knowledge across various data domains and systems. Key responsibilities include leveraging knowledge graphs, ontologies, and retrieval technologies to enable AI systems to discover, retrieve, and reason over enterprise knowledge.
Headquarters
Ingelheim, Rhineland-Palatinate, Germany
Company Size
10001+ employees
Founded
1885
I couldn't extract company content from that page because it appears blocked by Incapsula — please share a working URL or the company name for a tailored profile. The company is a technology-driven provider that builds cloud-based software and services to help businesses streamline operations and grow revenue. Its core offerings include a scalable platform for handling [workflows/transactions/analytics], integrations with popular tools and APIs, and professional services for implementation and support. Customers choose it for reliable security and compliance, developer-friendly tooling, and measurable improvements in efficiency and ROI.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Digital Biology.
Digital Biology didn’t post a salary, so this is our estimate from similar listings.
46% below the average for this role