Security Architect

About Emergent

Emergent builds autonomous coding agents that replace traditional software development by generating, testing, and deploying production applications directly from plain-language intent. Our systems run in production at global scale — 6.5M+ applications built by 6M+ users. We’ve raised $100M+, backed by Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator. The team includes repeat founders, Olympiad medalists, IIT & IIM alumni, and leaders from Google, Amazon, and Dropbox.

The Role

Security at Emergent isn’t a checkbox — it’s a core engineering discipline. With 6M+ users generating and deploying real applications every day, our attack surface is unique. We’re looking for a Security Engineer who thinks like an attacker, builds like a product engineer, and operates with the urgency of a founder. You’ll own security across the full stack — from AI agent pipelines and cloud infrastructure to the applications our users generate and deploy at scale.

What You’ll Do

• Secure the AI-native stack end to end. Design, implement, and continuously improve security controls across AI agent pipelines, multi-tenant cloud infrastructure, APIs, and user-generated application environments.

• Lead threat modelling & attack surface analysis. Proactively identify risks in new product features, infrastructure changes, and AI-generated code patterns. Catch vulnerabilities at design time, not after deployment.

• Build & own vulnerability management. Run automated security scans (SAST, DAST, SCA), triage findings by exploitability and impact, drive remediation, and track resolution to closure.

• Harden AI-generated application environments. Define and enforce sandboxing strategies, code execution boundaries, secret handling standards, and runtime security controls.

• Drive security in the SDLC. Embed security tooling and review gates into CI/CD pipelines. Champion secure coding practices, conduct code reviews, and run internal red-teaming exercises.

• Detect, respond & learn. Build detection coverage using cloud-native logging and SIEM tooling. Lead incident response — triage, contain, eradicate, and produce clear post-mortems.

• Own compliance & trust. Maintain and mature security posture against SOC 2, ISO 27001, and cloud security benchmarks. Serve as technical point of contact for customer security reviews.

What We’re Looking For

• 8–12 years of hands-on security engineering experience in a fast-moving product or cloud environment.

• Strong application security foundation — can read code (Python, JS/TS, SQL), identify vulnerabilities (OWASP Top 10, injection, auth flaws), and drive fixes with engineering teams.

• Solid cloud security experience: AWS, GCP, or Azure — IAM, network security groups, secrets management, container security (Docker, Kubernetes).

• Experience with SAST, DAST, SCA, secret scanning, and CSPM tooling across the development lifecycle.• Incident response experience — structured response from detection to post-mortem.

• Excellent written and verbal communication — can explain a critical vulnerability to a non-technical founder and a detailed CVE to a senior engineer.

• High ownership mindset: you see a gap and close it.

Good to Have

■ Experience securing AI/ML systems — model APIs, prompt injection risks, LLM output validation, multi-tenant AI inference.

■ Familiarity with sandboxed code execution environments or container escape scenarios.

■ Hands-on red teaming or penetration testing experience.

■ Compliance background: SOC 2 Type II, ISO 27001, GDPR / data privacy.

■ Prior experience at a high-growth startup or infrastructure-heavy product company.

What This Role Is Not

– Not a compliance-only or checkbox security role.

– Not removed from engineering — you’ll be deep in code, PRs, and architecture discussions.

– Not slow-moving — we ship fast and you’ll need to keep pace while raising the security bar.

Why Join Emergent

• Own the security function at one of the fastest-growing AI companies in the world — real scope, real risk, real impact.

• Work directly with founders and engineering leads on decisions affecting millions of users.

• Competitive compensation, meaningful equity, and a front-row seat to the AI-native software revolution.

• Fast learning, high ownership, and a clear path to defining enterprise-grade security at the frontier of AI.

Let’s build the future of software — securely.