Top Tech Jobs & Startup Jobs

Lead frontier AI safety research spanning responsible AI, trust and safety, model evaluation, adversarial robustness, and agentic safety. Design benchmarks, evaluation frameworks, red-teaming methods, and safety research for text, image, multimodal, and autonomous systems. Publish research, collaborate with leading AI labs and academic institutions, advise enterprise clients, translate findings into safety products, and mentor researchers and engineers.

Conduct hands-on research on frontier AI models, reasoning, agents, and multimodal systems. Design benchmarks, evaluation frameworks, and experimental pipelines; rapidly develop prototypes, run experiments, identify model limitations, and deliver actionable findings. Collaborate with customers, engineering, and product teams to address complex research challenges. Preferred expertise includes AI cybersecurity, autonomous security agents, vulnerability research, LLM red teaming, adversarial machine learning, prompt injection, and agentic AI security.

Own top-of-funnel customer acquisition for GenAI safety services through inbound and outbound prospecting. Generate qualified meetings via calls, emails, events, webinars, and campaigns; develop outreach sequences; educate prospects; map frontier AI labs, GenAI companies, and hyperscalers; and collaborate with Account Executives on lead handoffs and sales processes.

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.

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.

Lead the development and release of frontier AI safety and security benchmarks every two to three weeks. 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. Conduct hands-on evaluation review, maintain ecosystem relationships, present research to clients, and attend conferences.

Serve as the senior technical front line for frontier AI lab clients in the Bay Area. Lead technical discovery, RFPs, solution scoping, client meetings, events, and technical discussions with engineering and research teams. Build the Valley AI and security community, represent the company publicly, translate market signals into research and product strategy, and help establish the company’s regional presence. Partner with sales on technical wins while influencing AI security research, product direction, and local hiring.

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.

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.

Own full sales cycle for GenAI customers, engaging senior product, research, and safety stakeholders. Position and sell AI safety, red teaming, model evaluation, and post-training data services. Scope pre-sales, shape proposals with solutions teams, drive pricing and negotiations, and maintain accurate pipeline forecasting.