8 days ago

AI Knowledge Team Lead

Coralogix

On Site
Full Time
₪550,000
Ramat Gan, Tel Aviv District, Israel

Job Overview

Job TitleAI Knowledge Team Lead
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary₪550,000
LocationRamat Gan, Tel Aviv District, Israel

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Job Description

About Coralogix

Coralogix is a cutting-edge, full-stack observability platform revolutionizing how businesses process and analyze their data. Our unique architecture facilitates in-stream analytics without relying on costly indexing or hot storage. We provide comprehensive monitoring for logs, metrics, traces, and security events, including APM, RUM, SIEM, and Kubernetes monitoring, significantly enhancing operational efficiency and reducing observability expenses by up to 70%.

The AI Knowledge Team at Coralogix

Coralogix AI is dedicated to developing the next generation of AI Agents for Observability. The Knowledge team plays a crucial role in building the memory, understanding, and knowledge systems that enable our application to deliver accurate, high-value answers at scale.

About the AI Knowledge Team Lead Role

We are actively seeking a hands-on, entrepreneurial AI Knowledge Team Lead to assume full ownership of Olly’s knowledge systems. This pivotal role involves building one of the most critical pillars of the product, driving innovation, and providing both technical and managerial leadership.

Key Responsibilities

  • Provide technical and managerial leadership to the Knowledge team.
  • Design and build production-grade knowledge systems capable of operating at massive scale.
  • Make critical architectural decisions and tradeoffs, considering factors like LLMs vs. embeddings vs. heuristics, and online vs. offline computation, as well as cost vs. latency.
  • Drive research, experimentation, and innovation to define and evolve "what knowledge means" for AI Agents.
  • Engage in hiring, interviewing, mentoring, and fostering the growth of the team.
  • Collaborate closely with the Agent, Platform, and Product teams to ensure cohesive development and integration.

Required Skills and Experience

  • Strong can-do and builder mindset, demonstrating true startup DNA with a bias toward shipping rather than over-process.
  • Proven experience leading engineers in a technical leadership capacity (Tech Lead, Engineering Manager, or senior technical leader).
  • Deep understanding of production systems and how to achieve scale.
  • Strong intuition for performance, cost, and reliability tradeoffs in system design.
  • Hands-on backend experience developing large-scale systems.
  • Proficiency with databases such as Postgres, ClickHouse/Snowflake (or similar OLAP systems), and Elasticsearch/OpenSearch.
  • Experience designing distributed systems, including Event-driven architectures, Pub/Sub, Queues, and Caching layers (Redis or similar).
  • Practical experience working with AI systems, including OpenAI/LLM APIs, Embeddings, Semantic search, and RAG pipelines.

Preferred Qualifications

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

Key skills/competency

  • AI Systems
  • LLMs & Embeddings
  • Distributed Systems
  • Backend Development
  • Knowledge Systems
  • Team Leadership
  • Architectural Design
  • Database Management
  • Observability
  • RAG Pipelines

Tags:

AI Knowledge Team Lead
AI Systems
Team Leadership
Distributed Systems
Backend Development
Knowledge Management
LLM
RAG
Observability
Architectural Design
Postgres
ClickHouse
Elasticsearch
Redis
Semantic Search
Event-driven architecture
Data Analytics
Software Engineering
Product Development
Cloud Computing

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How to Get Hired at Coralogix

  • Research Coralogix's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for AI leadership: Highlight experience in AI systems, knowledge management, and team leadership, using keywords like "LLM," "RAG," and "distributed systems."
  • Showcase your technical depth: Prepare to discuss complex backend and AI system architecture, demonstrating your decision-making on tradeoffs.
  • Emphasize startup DNA: Illustrate your "can-do" mindset and bias for shipping, providing examples of rapid iteration and ownership.
  • Prepare for behavioral questions: Demonstrate leadership, collaboration, and problem-solving skills, focusing on how you mentor and grow teams.

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