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 Platform Engineering team at Decagon designs the proprietary orchestration layer that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email and SMS. Decagon’s leading customer support agents understand context, respond with genuine empathy, and solve complex problems with surgical precision.
Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.
About the Role
Lead the technical vision for securing Decagon AI's customer experience platform that powers AI agents for enterprise customers. You'll collaborate with our security leaders to architect our comprehensive security framework that protects against modern, AI-enabled threats while maintaining an enterprise-ready security and compliance posture. This role offers the opportunity to apply in-depth AI security expertise and develop enterprise software architecture. 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 our complete security framework covering customer-facing products, infrastructure security, and enterprise integration points
Work with AI/ML teams to embed security into model training, fine-tuning, and deployment processes to empower our research teams to innovate safely
Define security standards and practices for enterprise customers, including tenant isolation, data protection, and compliance frameworks
Lead security incidents affecting operations, or ensure rapid resolution while maintaining service availability
Mentor security engineers and broader the engineering organization while establishing engineering practices that scale with rapid team growth
Your background looks something like this
Have 7+ years of industry experience in security engineering
Experience designing secure, multi-tenant systems that handle millions of concurrent conversations
Knowledge of Google Cloud security architecture, including VPC security, IAM, and enterprise-grade deployment patterns
Proven track record building security systems that meet enterprise expectations (SIEM, Vulnerability Management, IAM, compliance platforms)
Experience with SOC 2, ISO 27001, GDPR, and other enterprise security requirements
Even better
Prior experience working with multi-modal models
Deep knowledge of, fine-tuning security, model poisoning, and adversarial attacks specific to conversational AI
Skilled and motivated to take advantage of advanced reasoning and software development tools such as Cursor, Claude Code, and Gemini for personal productivity improvements and design leverage.
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
$250K – $350K + Offers Equity
