Mercor’s mission is to organize human intelligence to power the AI economy. We’re a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor’s APEX benchmark family measures AI’s real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the role
You’ll own application security at a company where the app layer is the highest-priority security surface. This is not a scan-and-triage role. You’ll embed in the development lifecycle, review code for exploitable flaws, build security tooling into CI/CD, and drive vulnerability remediation across a platform serving 300K+ experts and enterprise clients processing sensitive AI training data.
We use AI heavily in our own security work. You should be comfortable building alongside AI code-gen tools, using LLMs to accelerate code review and threat modeling, and automating away the repetitive work that slows AppSec programs down. If you’d rather write a CodeQL query than file a Jira ticket, you’ll fit in here.
We’re in-person five days a week at our SF headquarters, with first Fridays remote.
What You’ll Build:
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Security review workflows embedded in the SDLC - PR-level analysis that catches auth bugs, injection flaws, and business logic errors before they ship
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SAST/DAST pipelines integrated into CI/CD - shifting security left without slowing down deploys
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Vulnerability management processes that prioritize by real exploitability, not CVSS score
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Secure coding standards and guardrails that make the safe path the easy path for 50+ engineers
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Threat models for new features and architecture changes - especially around AI data pipelines, payment flows, and multi-tenant boundaries
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Bug bounty program operations - triaging HackerOne reports, validating findings, and driving fixes to closure
What We’re Looking For
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You’ve found and fixed real vulnerabilities in production applications - not just run scanners
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Deep understanding of web application security: OWASP Top 10 is baseline, you think in terms of attack chains and business logic flaws
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Strong in at least one of Python, TypeScript, or Go - you can read a PR and spot the auth bypass
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Experience building or tuning SAST/DAST tooling (Semgrep, CodeQL, Snyk, Burp, or similar)
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You understand modern web frameworks, APIs, and authentication patterns well enough to threat model them
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Experience managing a vulnerability pipeline - from discovery through prioritization to verified remediation
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5+ years of professional experience in application security, security engineering, or software engineering with a strong security focus
Bonus Points
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Experience running or triaging a bug bounty program (HackerOne, Bugcrowd)
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Offensive security skills - you’ve done penetration testing and can think like an attacker
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Experience securing AI/ML applications - model serving APIs, training data pipelines, prompt injection defense