Security Engineer at Assembled in New York City, NY

Job description

• Application
• About Assembled
• Assembled helps companies scale great customer support. As consumers, we’ve all been there. You need help, you’re stuck on hold or going in circles with an AI, and your problem still isn’t solved.
• Behind great support is a complex operational problem: thousands of people and AI agents working across teams, time zones, and products as new problems emerge. Assembled gives support leaders the tools to manage that complexity, from AI agents that resolve customer issues to software that forecasts demand, builds schedules, and makes intraday adjustments.
• More than 400 companies, including DoorDash, Salesforce, Stripe, and Sephora, trust Assembled. We've raised $71M from NEA, Emergence Capital, Stripe, and Basis Set Ventures and have offices in San Francisco, New York, and London.
• Assembled operates at the intersection of tens of millions of untrusted customer conversations annually, hundreds of thousands of support professionals, and the sensitive data and privileged access they need to get issues fixed.
• You'll lead application security across our SaaS and AI products as part of our infrastructure team within Engineering. Working directly with product managers and other engineers, you'll establish our product security practices, influence architecture, and build tooling to manage vulnerabilities from discovery and prioritization through remediation and verification. This is a high-ownership role with broad scope to reshape security at Assembled.

Responsibilities

• Product and application security. Lead threat modeling, secure design reviews, and vulnerability management across our SaaS and AI products and the underlying infrastructure.
• Tooling and automation. Integrate and automate controls for secrets, access, and dependency security within our engineering workflows and CI/CD pipelines.
• Application security testing. Establish and maintain code, dependency, and secrets scanning, alongside dynamic application security testing. Partner with third-party penetration testers and manage external vulnerability reporting and triage.
• Secure practices. Develop secure design and coding training for engineers. Establish clear processes for routing security issues to engineering owners and following through on fixes.
• Incident response. Respond to security incidents involving application vulnerabilities, coordinating remediation efforts and post-incident improvements.
• Partner on security assurance. Bring technical depth to customer security conversations and partner with Finance/Ops on the technical side of SOC 2 and assurance work. Turn recurring customer needs into better product and engineering decisions.
• Ship adversarial detection for our customer-facing voice agents.
• Build an automated dependency-patching pipeline connected to our AI code generation tools (Devin, Codex, Claude Code, Cursor).
• Secure workforce actions like time off and shift swap requests initiated through Slack, calendar, and HRIS integrations.

Requirements

• Security engineering expertise. You have 5+ years of hands-on application security experience, including threat modeling, security code reviews, and vulnerability remediation.
• Strong software engineering fundamentals. You have experience writing and reviewing production code in a complex codebase.
• Good risk judgment. You understand the tradeoff between security and shipping velocity. You’ve operated in programs that preserved speed (or can speak to why past programs destroyed it). Engineers trust you as a partner.
• AI-pilled. You actively use AI tools for security investigation, testing, or remediation and can evaluate their limitations. You have a point of view on how this changes the product threat model and how the security role evolves.
• People get to this kind of role through many paths. Your background might be in product security, application security, security engineering, DevSecOps, infrastructure, technical consulting, or something less conventional. We care most about how you think and what you have owned.
• Background with large-scale, multi-tenant SaaS applications handling sensitive customer data
• Experience securing AI/ML applications, including prompt injection, unauthorized tool use, and adversarial input protections
• Familiarity with our tech stack (described above)
• Knowledge of enterprise compliance requirements (SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS)
• Experience as a first or early security hire, or building security practices without a large team or established playbook

Skills

Required

• Security engineering expertise
• Threat modeling
• Security code reviews
• Vulnerability remediation
• Strong software engineering fundamentals
• Writing and reviewing production code
• Good risk judgment

Preferred

• Experience securing AI/ML applications