Staff Applied Scientist - Knowledge Graphs & AI

Key Responsibilities:

• Design and evolve per-tenant knowledge graph schemas for sales execution domains.
• Architect NLP pipelines to extract structured knowledge from unstructured data.
• Design reasoning and inference layers over the knowledge graph.

Qualifications:

• PhD in a relevant field with focus on knowledge representation and reasoning.
• Strong engineering fundamentals and proficiency in Python and graph databases.
• Comfort with ambiguity and a track record of building production systems.

Why Join Us:

• Greenfield architecture with latitude to make foundational technical decisions.
• Tackle problems in entity resolution and temporal reasoning at PhD level.
• Applied impact with real production feedback loops and millions of sales interactions.