About Mercor

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.

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:

• Security review workflows embedded in the SDLC - PR-level analysis that catches auth bugs, injection flaws, and business logic errors before they ship

• SAST/DAST pipelines integrated into CI/CD - shifting security left without slowing down deploys

• Vulnerability management processes that prioritize by real exploitability, not CVSS score

• Secure coding standards and guardrails that make the safe path the easy path for 50+ engineers

• Threat models for new features and architecture changes - especially around AI data pipelines, payment flows, and multi-tenant boundaries

• Bug bounty program operations - triaging HackerOne reports, validating findings, and driving fixes to closure

What We're Looking For

• You've found and fixed real vulnerabilities in production applications - not just run scanners

• Deep understanding of web application security: OWASP Top 10 is baseline, you think in terms of attack chains and business logic flaws

• Strong in at least one of Python, TypeScript, or Go - you can read a PR and spot the auth bypass

• Experience building or tuning SAST/DAST tooling (Semgrep, CodeQL, Snyk, Burp, or similar)

• You understand modern web frameworks, APIs, and authentication patterns well enough to threat model them

• Experience managing a vulnerability pipeline - from discovery through prioritization to verified remediation

• 5+ years of professional experience in application security, security engineering, or software engineering with a strong security focus

Bonus Points

• Experience running or triaging a bug bounty program (HackerOne, Bugcrowd)

• Offensive security skills - you've done penetration testing and can think like an attacker

• Experience securing AI/ML applications - model serving APIs, training data pipelines, prompt injection defense

• Familiarity with supply chain security - dependency scanning, registry firewalls (Socket, Snyk)

• You've built custom security tooling that a team still uses

• Contributions to open source security projects or published vulnerability research

Why Mercor

• The problem is real. Application security at scale is hard - you'll build defenses that matter across a fast-moving platform.

• AI-native AppSec. You'll use frontier AI tools daily - for code review, vulnerability analysis, and anything that benefits from an AI co-pilot.

• Ownership from day one. You'll own the entire application security domain - from code review processes to CI/CD security to bug bounty operations.

• See the future early. Working alongside AI labs means you'll understand frontier model capabilities months before the market.

  Benefits

  • Bi-annual performance bonus structure

  • Generous equity grant vested over 4 years

  • Up to $15k Relocation bonus

  • $10K housing bonus (if you live within 0.5 miles of our office)

  • $1.5K monthly stipend for meals

  • Free Equinox membership

  • $200 monthly laundry reimbursement

  • $200 monthly personal wellness reimbursement

  • Health, Dental, Vision insurance