Development Team Leader - Digital Risk Protection

Why Join Us?

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 learns from resolution outcomes.
• Collaborate closely with Product, Threat Intelligence, and platform teams to deliver high-impact features with speed and quality.
• Track and own key delivery and quality metrics; lead technical debt reduction and architecture improvements.
  
  

• 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.
  
  

• Background in cyber security, threat intelligence, or digital risk domains.
• Experience building detection or classification systems (phishing, fraud, brand abuse).
• Familiarity with takedown automation workflows or brand protection platforms.
• Web scraping experience - building or maintaining crawlers, scrapers, or content extraction pipelines.
• DevOps and CI/CD skills: Bitbucket, Jenkins, or similar tooling.
  
  

• Strong sense of ownership - you drive outcomes, not just tasks.
• AI-first mindset: you ask "how do we automate this intelligently?" before "how do we build this manually."
• Technically credible with your team while thinking strategically about the product.
• Clear communicator who bridges engineering depth with cross-functional alignment.
• Energized by the mission: protecting real people and organizations from real threats.