Job Opportunities API

  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 and are used to build millions of real applications. Since our public launch, we've crossed $100M in ARR and grown to over 10M users across 190+ countries . We're backed by Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator. We're solving the hard part of AI-driven software creation: correctness, reliability, security, and scale in real production systems. The team is built by repeat founders, Olympiad medalists, IIT & IIM alumni, and leaders from Google, Amazon, and Dropbox. We're hiring builders who want ownership, speed, and impact at global scale. 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 and 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 and 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, and learn: build detection coverage using cloud-native logging and SIEM tooling. Lead incident response, triage, contain, eradicate, and produce clear post-mortems Own compliance and 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 to 12 years of hands-on security engineering experience in a fast-moving product or cloud environment Strong application security foundation, able to read code (Python, JS/TS, SQL), identify vulnerabilities (OWASP Top 10, injection, auth flaws), and drive fixes with engineering teams Solid cloud security experience across AWS, GCP, or Azure including IAM, network security groups, secrets management, and container security (Docker, Kubernetes) Experience with SAST, DAST, SCA, secret scanning, and CSPM tooling across the development lifecycle Incident response experience with structured response from detection to post-mortem Excellent written and verbal communication, able to 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 including model APIs, prompt injection risks, LLM output validation, and 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 and data privacy Prior experience at a high-growth