Senior Product Security Engineer

• Expertise in software engineering with one or more general-purpose programming languages (e.g., Python, Go, or similar).
• Extensive experience with threat modeling, security testing, and analyzing applications, including those involving emerging technologies like Generative AI (GenAI) and Large Language Models (LLM).
• Prior experience in building automation to support the Secure Software Development Lifecycle (SSDLC).
• Proven ability to lead and mentor engineering teams, supporting them throughout the Software Development Lifecycle (SDLC).
• A passion for information security and an interest in staying ahead of evolving threats, particularly those targeting AI systems.
• Deep technical knowledge in multiple areas:

  • Cloud and networking security

  • Web application security

  • Mobile security

  • Security challenges unique to AI-driven products and data governance.

• Strong understanding of microservice architectures and working with scalable software in the cloud.
• A highly developed ability to identify flaws in software and effectively communicate and implement practical solutions.
• Expertise in static/dynamic code analysis, fuzzing, and other techniques to identify security vulnerabilities.
• Solid knowledge of secure coding best practices and security standards, including the OWASP Top 10.
• The ability to strategically balance security risks with the need for product innovation and advancement.

We are seeking a Senior Product Security Engineer to drive the product security strategy and empower our engineering teams to design and build secure software across our diverse product portfolio. This role involves leading the integration of advanced security practices into cutting-edge technologies - such as Generative AI (GenAI), Large Language Models (LLM), and data governance systems - while also ensuring the security of our microservice architecture and mobile application. You will be independently responsible for delivering robust security for every feature and service we provide to our customers.

The Product Security team is part of N26's Security Engineering Segment. In this role, you will serve as a key mentor and contributor, actively promoting N26's security standards by integrating security practices throughout the product lifecycle. You will provide guidance and support to other engineers, sharing your expertise and helping to elevate the overall security posture of our products.

As we embrace emerging technologies like GenAI and LLMs, this role will independently lead efforts to safeguard sensitive data, align with data governance principles, and address risks unique to AI-driven products. You will also ensure our broader product ecosystem remains secure, scalable, and resilient. Additionally, you will proactively drive the enhancement of our Product Security Program, providing strategic guidance to engineering teams to anticipate and counter evolving threats.

• Independently apply advanced knowledge of security architecture to guide software engineers in building secure products and services across a diverse technology stack, including microservices, mobile applications, and cutting-edge AI-driven solutions.
• Serve as a technical leader and mentor, collaborating closely with engineering teams to understand and address their complex application security needs, including those related to emerging technologies like Generative AI (GenAI) and Large Language Models (LLM).
• Perform application security design reviews, threat modeling, and code reviews, ensuring security principles are embedded in every stage of the development lifecycle.
• Utilize expert penetration testing skills to assess and strengthen the security of internal and external applications and services, including AI-powered features and traditional systems.
• Independently develop advanced tooling to support the Secure Software Development Lifecycle (SSDLC) and other security initiatives across diverse product environments.
• Build automation frameworks to enable engineering teams to deliver secure features efficiently, whether for AI solutions or traditional applications.
• Mentor and educate engineering teams and security champions on secure coding and development practices, including security considerations unique to AI and data governance.
• Empower engineering teams to independently identify and remediate vulnerabilities before they reach production, with a focus on both general application security and AI-specific risks.
• Lead reactive incident response if a security event occurs.
• Conduct proactive and in-depth research to detect new attack vectors, including those targeting AI technologies, data pipelines, and LLM-based systems.