Teams at Protegrity

Design and build an ontology and deterministic reasoning layer unifying structured, semi-structured, and unstructured data. Model entities, relations, constraints and rules; ensure traceable, auditable derivations. Use LLMs at ingestion with validation, implement retrieval (vector/keyword/graph), improve entity resolution and conflict handling, and ship production services and research prototypes focused on correctness and maintainability.

Lead post-sales strategic customer engagements for enterprise accounts, driving retention, adoption, modernization to containerized platforms, and GenAI data-protection use cases. Act as trusted advisor across executives and engineers, coordinate with architects, Support, Services and Product, develop account roadmaps, run risk playbooks, and enable AI Team Edition rollouts while mentoring peers.

Lead 2-3 product engineering teams to build and maintain a reusable UI platform. Set technical direction for micro-frontends, React/TypeScript standards, Module Federation, shell SDKs, CI/CD, and integration with backend services. Drive execution through sprint planning, code reviews, hands-on contributions, and partnership with product and design to deliver secure, accessible, and scalable product experiences.