Development Team Leader - Digital Risk Protection 25837

We are looking for a technically strong, AI-driven engineering leader to own our Digital Risk Protection domain - the front line against phishing, brand impersonation, and social media threats targeting our customers. This role combines hands-on engineering depth with team leadership and a relentless drive to automate protection at scale.
Key Responsibilities
Lead and mentor your engineering team; set technical direction, run code reviews, and grow individual contributors into owners.
Own the end-to-end engineering of phishing detection, takedown workflows, and social media impersonation protection - from data ingestion to customer-facing outcomes.
Design and drive AI-powered automation across the DRP pipeline: intelligent detection models, automated takedown orchestration, and adaptive response workflows that reduce manual intervention.
Define and execute on a vision for self-improving protection systems - where AI identifies new threat patterns, prioritizes takedown candidates, and

דרישות:

5+ years of hands-on backend development experience.
2+ years leading an engineering team or acting as a tech lead in a product organization.
Deep proficiency in Python and experience working with Elasticsearch, SQL, MongoDB, and Redis.
Experience with message queue systems such as SQS and Kafka in production environments.
Cloud experience with SaaS products - AWS preferred.
Proficiency with software architecture: designing scalable, maintainable systems in a distributed environment.
Hands-on experience building and shipping AI/ML-powered features in production - classification models, NLP pipelines, or LLM-based workflows.
Practical experience with AI agents, prompt engineering, or orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI).
Demonstrated ability to apply AI to automate detection, triage, or response workflows - not just prototype, but deliver at scale.
Advantages
Background in cyber security, threat intelligence, or digital risk domains.
Experience building detect