AI Knowledge Team Lead

Ramat Gan, Israel · Full-time · Management
About The Position

Coralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, trace and security events with features such as APM, RUM, SIEM, Kubernetes monitoring and more, all enhancing operational efficiency and reducing observability spend by up to 70%.

Coralogix AI is building the next generation of AI Agents for Observability. The Knowledge team is responsible for the memory, understanding, and knowledge that allow our application to produce accurate, high-value answers at massive scale.

We’re looking for a hands-on, entrepreneurial Team Lead to take full ownership of Olly’s knowledge systems and build one of the most critical pillars of the product.

Responsibilities

Technical and managerial leadership of the Knowledge team
Designing and building production-grade knowledge systems at scale
Making architectural decisions and tradeoffs
(LLMs vs embeddings vs heuristics, online vs offline computation, cost vs latency)
Driving research, experimentation, and innovation around “what knowledge means” for AI Agents
Hiring, interviewing, mentoring, and growing the team
Working closely with Agent, Platform, and Product teams
Requirements

Must-have

Strong can-do / builder mindset with real startup DNA (bias toward shipping, not over-process)
Experience leading engineers as a Tech Lead / Engineering Manager / senior technical leader
Deep understanding of production systems and scale
Strong intuition for performance, cost, and reliability tradeoffs
Hands-on backend experience with large-scale systems
Experience with databases such as: Postgres, ClickHouse / Snowflake (or similar OLAP systems), Elasticsearch / OpenSearch
Experience designing distributed systems: Event-driven architectures, Pub/Sub, Queues, Caching layers (Redis or similar)
Practical experience with AI systems: OpenAI / LLM APIs, Embeddings, Semantic search, RAG pipelines

Nice-to-have

Experience with code indexing or static code analysis
Background in observability platforms
Research-oriented mindset with fast experimentation skills
Experience building knowledge systems or AI agent platforms