# Strategic Projects Lead - AI Safety

**Company:** [AfterQuery](https://hotfix.jobs/companies/afterquery)
**Location:** San Francisco, CA
**Role:** Technical Program Management
**Experience:** 2+ years
**Skills:** Ai Safety, Red Teaming, Trust & Safety, Adversarial Machine Learning, Python, Prompt Injection, Penetration Testing, Bug Bounty, Ctfs, Safety Benchmarks, Evaluation Pipelines, Security Research
**Posted:** 2026-08-12

> Leads AI safety projects for frontier AI labs, managing expert contributors and developing adversarial datasets, taxonomies, benchmarks, and red-teaming methodologies. Requires hands-on adversarial or security experience, strong writing and leadership, and production-quality Python skills.

## Job Description

## Responsibilities
- Partner directly with safety, alignment, and trust & safety teams at frontier AI labs to scope complex data problems, translate them into deliverable programs, and drive revenue.
- Recruit and lead specialized contributors, including red teamers, security researchers, trust & safety practitioners, and domain risk experts.
- Design specifications for adversarial datasets, jailbreak and attack taxonomies, refusal-boundary and over-refusal sets, and safety benchmarks.
- Build repeatable red-teaming methodologies, including human red-team campaigns, automated attack generation, and coverage tracking against harm taxonomies.
- Own projects from initial conversations through final delivery in ambiguous, fast-moving environments.
- Support building, analysis, coordination, and execution as the safety practice scales.

## Requirements
- 2+ years of experience in AI safety, red teaming, trust & safety, adversarial machine learning, or security research at a frontier AI lab, FAANG company, top security firm, or equivalent.
- Hands-on adversarial experience with model jailbreaking or stress testing, prompt-injection research, offensive security, penetration testing, bug bounties, CTFs, or trust & safety investigations and enforcement.
- Fluency in harm taxonomies, evaluation design, safety frameworks, and model policy.
- High agency and ability to execute in ambiguity, including defining problems before solving them.
- Strong writing skills and ability to specify risks precisely for others to execute against.
- Genuine interest in AI and entrepreneurship.
- Demonstrated track record of competitive success.
- Strong leadership and communication skills.
- Python proficiency and ability to write production-quality code.

## Nice-to-Haves
- Published safety, alignment, or security research.
- Track record in bug bounties, CTFs, or model red-teaming competitions.
- Experience building automated red-teaming or evaluation pipelines.
- Depth in a high-consequence risk domain such as cyber, bio, fraud and financial crime, child safety, or influence operations.
- Experience using AI tools to automate workflows and build products.

## Compensation and Benefits
- Competitive salary.
- Meaningful equity.

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