Data & AI Engineer

Accelerate Your Career in Cybersecurity!

Join Pentera and take your career to the next level in cybersecurity. As a leader in Automated Security Validation, we help businesses around the world safely emulate real-world attacks to uncover their vulnerabilities, just like the world's best red teams. At Pentera, you will be at the forefront of cybersecurity innovation, working on advanced tools that challenge organizations' defenses and push the limits of security testing.

With over 350 team members and 1,300 customers in more than 60 countries, Pentera is a growing company supported by top investors such as Insight Partners, K1, and The Blackstone Group.

If you want to grow your skills, make an impact, and be part of an innovative team, Pentera is the place for you.

About the role:

Pentera is looking for a Senior Data & AI Engineer to join a new and growing Data & AI function. You'll work hands-on with models and data architecture, with direct impact on both product-facing AI capabilities and internal data infrastructure. This is a deeply technical role: you'll take ML models from research through production, design scalable pipelines, and collaborate closely with R&D and Product to solve real security problems with AI.

Responsibilities:

• Design and implement data architecture, pipelines, and governance foundations
• Develop and deploy ML models into production (not just POCs), focusing on areas like vulnerability detection, attack emulation, and security insights
• Own model lifecycle end to end: research and experimentation, production deployment, monitoring, and iteration
• Partner with Product and R&D to identify and execute high-impact AI use cases within Pentera's platform
• Evaluate build vs. buy vs. fine-tune decisions for AI capabilities
• Define and maintain data quality standards and access policies
  
  

• 5+ years of hands-on experience in ML, AI, or Data Science, with real production deployments (not just research or POCs)
• Strong background in data modeling, data pipelines, and infrastructure design
• Comfortable context-switching between writing code and communicating technical decisions to stakeholders
• Comfortable operating with ambiguity and working in a fast-moving environment
  
  

• Experience in cybersecurity or security-adjacent domains
• Familiarity with LLMs, NLP, and GenAI in production environments
• Experience at a startup (Series B-D stage)
• Background in building analytics or BI alongside AI