Top Tech Jobs & Startup Jobs in NYC, NY

Lead the rapid development and release of AI safety and security benchmarks. Own evaluation taxonomies, harnesses, quality standards, publication decisions, research timelines, and quarterly roadmap planning. Collaborate with AI labs, universities, internal researchers, and freelance subject-matter experts. The role also requires reviewing research, engaging with frontier labs, presenting findings, and attending industry conferences.

Own top-of-funnel outbound and inbound prospecting to generate qualified meetings with frontier AI labs, GenAI-native companies, and hyperscalers. Build outreach sequences, cold call and email prospects, collaborate with Account Executives, and refine playbooks and sales processes to drive pipeline and conversions.

Lead the development and release of AI safety and security benchmarks every two to three weeks. Own evaluation taxonomies, harnesses, quality standards, verification, publication decisions, research timelines, and quarterly roadmap planning. Collaborate with AI labs, universities, internal researchers, and freelancers. The role also requires staying current with AI safety research, maintaining lab relationships, presenting work to clients, and attending conferences.

Analyze generative AI content infringements and develop adversarial prompts to identify model vulnerabilities across hate speech, misinformation, intellectual property, and other abuse areas. Manage multilingual datasets, investigate safety circumvention tactics, oversee projects and quality assurance, and collaborate with engineering, product, and policy teams to improve AI safety strategies.

Lead a multidisciplinary red teaming team to design and run adversarial tests, evaluate model risks, produce high-quality deliverables, and communicate findings to clients while improving methodologies and workflows.

Analyze content infringements and write adversarial prompts to find model vulnerabilities across LLMs, text-to-image/video, and agents. Manage datasets and projects end-to-end, investigate evasion tactics, collaborate with engineering, product, and policy teams, and promote knowledge sharing to improve model safety.

Adversarially test and strengthen Generative AI models against cyber-CBRNE threats by designing red-team prompts, jailbreaks, multi-turn attacks, and scenario-based evaluations; develop test suites, taxonomies, and actionable mitigations while documenting vulnerabilities and maintaining threat and AI-safety expertise.