Design and operate the security infrastructure for a cutting-edge conversational AI platform serving enterprise customers. Build secure multi-tenant systems, automate security tooling, and ensure compliance with SOC 2 and GDPR. Collaborate with engineering leadership to shape the security program for high-growth AI-driven customer interactions.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
About the job
This role is being recruited by CoffeeSpace on behalf of an anonymous conversational AI platform company, building advanced AI agents for enterprise customer interactions.
We’re identifying a small number of exceptional platform engineers from our network. If there’s a strong fit, we’ll introduce you directly to the engineering leadership team.
Location: San Francisco, California, United States or New York, New York, United States
Compensation: $200K - $330K base + competitive equity
Employment type: Full-time
Visa: Visa sponsorship available
About the company
This company is a leading conversational AI platform that enables enterprises to deliver personalized customer experiences across various channels, including voice, chat, email, and SMS. Their technology is trusted by industry-defining brands like Avis Budget Group, Cash App, and Chime to enhance customer interactions.
The organization is backed by renowned investors such as a16z, Accel, and Bain Capital Ventures, and focuses on redefining customer experiences from traditional support to more engaging and efficient interactions.
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About the role
As the first Platform Security Engineer, you will design and operate the security infrastructure for the company's AI platform. This role involves creating secure systems, developing security tooling, and implementing infrastructure-as-code practices to ensure robust security measures for enterprise customers.
Your work will directly impact the company's ability to secure high-value deals with security-conscious enterprises by building a secure platform that supports AI model serving and customer data isolation.
What You’ll Do
- Design and implement secure, multi-tenant infrastructure for AI model serving
- Develop "golden paths" for security, including service templates and automation
- Manage infrastructure-as-code and GitOps best practices
- Enhance platforms for alerting detection, secrets management, and IAM
- Collaborate with teams to meet compliance requirements like SOC 2 and GDPR
- Participate in security on-call and improve incident response processes
Why This Role Is Compelling
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- Join a fast-growing company with over 100 enterprise customers
- Work on cutting-edge security infrastructure for conversational AI
- Influence the technical direction of the security program
- Collaborate with top-tier enterprise brands and investors
The Ideal Candidate
- 5+ years in production infrastructure with a focus on security
- Expertise in Google Cloud Platform or AWS
- Proficient in infrastructure-as-code tools like Terraform
- Strong coding skills in Python, Go, or TypeScript
- Experience with Kubernetes security and observability tools
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Even Better
- Experience as an early or founding platform/security engineer
- Familiarity with enterprise compliance and security tooling
Next steps
- 1. Apply via this LinkedIn job post
- 2. We’ll review and reach out if there’s a strong match
- 3. If aligned, we’ll introduce you directly to the team
- 4. If this role isn’t the right fit, we may suggest and make introductions to other high-signal startup roles we’re recruiting for, always with your permission.
A quick note on authenticity
This is a real, active role that CoffeeSpace is recruiting for in close partnership with the hiring team. We don’t post speculative roles and work directly with teams on their actual hiring needs.
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