Before you apply
Listed location: San Francisco
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.
Job description supplied by Decagon; category and skill labels may be inferred. How our listings work · Report a problem
Job Description
About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — 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 complete trust while defending against sophisticated, AI-enabled threats at massive scale.
Our mission is to secure our growing platform, 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
Help build and scale the security foundations of Decagon AI's customer experience platform that powers AI agents for enterprise customers. You'll work with the head of Security to implement security controls, build security tooling, and strengthen our defenses against modern, AI-enabled threats while maintaining an enterprise-ready security and compliance posture. This role combines hands-on security engineering with software development. You'll build automated remediation tools, work on detection pipelines, and partner with engineering teams to improve security across our platform. 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
Implement security controls across our agent platform, covering application security, infrastructure security
Build security tooling and automation, including automated remediation pipelines, detection systems, and testing frameworks integrated into CI/CD workflows
Partner with engineering teams to design and review authentication systems, secrets management, and access controls
Create detection pipelines that scale with millions of daily AI agent interactions
Contribute to security incidents affecting operations, supporting rapid resolution while maintaining service availability
Your background looks something like this
Have 3+ years of experience in security engineering, with strong software engineering fundamentals
Familiarity with application security concepts including authentication, authorization, vulnerability assessment, and secure development practices
Ability to write production-quality code; you can build the tools and automation the team needs, not just identify problems
Experience with cloud security fundamentals, ideally Google Cloud
Exposure to enterprise security requirements such as SOC 2, ISO 27001, or GDPR
Natural curiosity about new technologies and approaches to security problems
Excited to work with bright colleagues out of our downtown San Francisco office
Even better
Experience building developer tools, security automation, or remediation pipelines
Background with static analysis tools (Semgrep, CodeQL) or vulnerability management platforms
Familiarity with securing AI/ML applications, including awareness of risks like prompt injection and adversarial inputs
Experience with infrastructure as code (Terraform) and modern cloud development practices
Comfortable working across the entire stack to solve problems
Compensation
$200K – $330K + Offers Equity
Benefits
We proudly offer the following benefits for our full-time employees:
Medical, Dental, and Vision benefits for you and your family
Life Insurance and Disability Benefits
Retirement Plan (e.g., 401K, pension)
Parental Leave
Fertility and family building benefits through Carrot
Monthly stipend to support your wellness, lifestyle, and work-life balance
Daily lunches and snacks in the office to keep you at your best
Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)
These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
Skills mentioned
Categories
Frequently asked questions
Is the Security Engineer position at Decagon remote?
The Security Engineer role at Decagon does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the Security Engineer role?
Decagon is hiring for a full-time Security Engineer position.
Which skills are mentioned for the Security Engineer job at Decagon?
Detected skill labels include Terraform. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the Security Engineer position at Decagon?
You can apply for the Security Engineer role directly through Decagon's official application link provided on this page.
Similar AI jobs
Enterprise Solutions Engineer
Cresta · fulltime
Partner Sales Manager
Glean · fulltime
Engineering Manager, Mobile
Replit · fulltime
Senior Deep Learning Software Engineer, Inference and Model Optimization
NVIDIA · fulltime
Senior Software Engineer, Agent Performance Modeling
NVIDIA · fulltime
Principal Brand Content & AI Search Visibility
Databricks · fulltime