Job Details

About Decagon

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.

Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.

We're an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner's mindset, and stronger together—shape how we work and grow as a team.

About the Team

The Security Engineering team at Decagon protects the platform that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email and SMS. We build the security foundations that enable Decagon's AI agents to handle sensitive customer data with trust while defending against sophisticated, AI-enabled threats at massive scale.

Our mission is to provide magical support experiences — ensuring that AI agents and human agents can collaborate safely to help users resolve their issues while maintaining the highest standards of security and privacy.

About the Role

Design and implement the secure infrastructure that powers Decagon AI's customer experience platform. You'll build the foundational systems that support our AI agents' security framework while ensuring enterprise-grade reliability and scalability. This role focuses on GCP architecture improvements and building security infrastructure that enables our software-first approach to protecting conversational AI. Decagon's team is some of the best in the industry, so you'll work alongside a skilled and enthusiastic team.

In this role, you will

• Design and implement secure, multi-tenant infrastructure that isolates customer data while enabling efficient AI model serving
• Build Infrastructure as Code systems for deploying and managing security tools across development and production environments
• Ensure our security infrastructure maintains 99.99% uptime to protect customer interactions without service disruption
• Optimize security systems to handle millions of concurrent conversations while maintaining sub-100ms response times
• Implement systems that support SOC 2, ISO 27001, and other enterprise compliance requirements
• Design and maintain backup systems and recovery procedures for security infrastructure

Your background looks something like this

• 5+ years building production infrastructure with security focus, preferably for SaaS or enterprise software
• Deep knowledge of Google Cloud Platform architecture, including compute, networking, security, and managed services
• Advanced proficiency with Terraform, Ansible, or similar tools for automated infrastructure managementExperience with secure container deployment, service mesh architecture, and Kubernetes security best practices
• Proven experience building infrastructure that handles millions of requests per day with strict latency requirements

Even better

• Track record of building infrastructure that supports rapid business growth and customer acquisition
• Strong understanding of the operational challenges of securing customer-facing AI systems
• A high degree of comfort digging into systems with deep technology stacks using any tool necessary

Benefits

• Medical, dental, and vision benefits
• Take what you need vacation policy
• Daily lunches, dinners and snacks in the office to keep you at your best

Compensation

$240K – $320K + Offers Equity