Staff Product Security Engineer

About Bumble Inc.

Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We’re happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don’t hesitate to let us know how we can help. In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc).

Job Summary

At Bumble, we’re building secure, AI-powered systems that make trust and safety intrinsic to every product experience. We’re looking for a Staff Product Security Engineer to lead the transformation of complex security requirements into intuitive, scalable, and developer-friendly solutions. In this role, you’ll sit at the intersection of Engineering, Product, and Compliance—designing frameworks and automation that make secure-by-design development seamless.

Key Responsibilities

• Research, design, and deliver scalable security tools, frameworks, and automation that streamline secure development.
• Build developer-centric security experiences and self-service capabilities within engineering workflows.
• Leverage AI and Model Context Protocol (MCP) to create intelligent, context-aware security guidance and automation.
• Collaborate with Product and Engineering to embed security into design reviews, sprints, and roadmaps.
• Provide expertise across cloud-native, containerized, and service-oriented architectures (AWS, GCP, Kubernetes).
• Partner with leaders across Engineering and Product to align security with developer velocity and experience.

Requirements

• 10+ years of experience in Application or Product Security.
• Proven expertise in secure software development, threat modeling, and SDLC integration.
• Hands-on experience building or integrating developer-facing security tools.
• Strong understanding of cloud and container security (AWS, GCP, Kubernetes).
• Demonstrated ability to influence engineering practices and drive security adoption.
• Excellent communication skills and cross-functional leadership.

Nice-to-Haves

• Experience with AI security tooling, context-aware automation, or MCP-based architectures.
• Familiarity with workflow automation platforms (n8n, Make.com, Zapier, etc.).
• Experience building agentic AI systems that work collaboratively.
• Understanding of AI privacy and governance in developer workflows.