Global Head of AI Cyber GTM
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Company Description
OrcaRouter is a unified AI inference gateway and open AI infrastructure platform that gives developers a single API key to access 200+ models across providers such as OpenAI, Anthropic, Gemini, DeepSeek, Qwen, Kimi, and xAI. The platform offers adaptive routing, fallback, unified billing, bring-your-own-key (BYOK), and zero markup, supporting both OpenAI-compatible APIs and native Anthropic and Gemini endpoints. In addition to the hosted gateway, OrcaRouter builds in the open, delivering self-hosted routing infrastructure, MCP tooling, SDK integrations, and open-weight model releases and research. Candidates joining OrcaRouter will be part of a team that is deeply engaged with the broader AI community via platforms like X, Hugging Face, Ollama, GitHub, and arXiv, and supported by robust technical documentation.
Role Description
The Global Head of AI Cyber GTM is a full-time, on-site role based in the San Francisco Bay Area. This role is responsible for defining and executing the global go-to-market strategy for OrcaRouter’s AI-powered cybersecurity offerings, including positioning, pricing, packaging, and sales enablement. Day-to-day responsibilities include partnering with product, engineering, and research teams to translate AI infrastructure and security capabilities into clear market narratives and solution playbooks, and collaborating with sales and customer success to drive pipeline, revenue, and customer adoption. The Global Head will lead competitive analysis, segment and vertical strategy, and launch plans for new AI cyber features and integrations, while building a data-driven GTM operating model and leading cross-functional execution. The role includes stakeholder management across executive leadership, development of thought leadership and industry presence, and establishing strategic partnerships in the AI and cybersecurity ecosystem.
Qualifications
- Strong foundational knowledge in Computer Science, with experience applying it to AI infrastructure, cybersecurity, or enterprise software products.
- Background in Data Science and Pattern Recognition, enabling data-driven GTM decisions, customer segmentation, and product positioning based on usage and threat patterns.
- Understanding of Natural Language Processing (NLP), particularly as it relates to secure AI inference, prompt security, and language-model–based security use cases.
- Familiarity with Computer Vision and its applications in security contexts (e.g., monitoring, anomaly detection), or willingness to learn and collaborate with technical experts in this area.
- Proven experience leading global go-to-market strategies for technical products, ideally in AI, cybersecurity, or developer tooling.
- Demonstrated ability to work closely with product and engineering teams, translating complex technical capabilities into clear customer value propositions.
- Track record of building and managing high-performing, diverse teams across sales, marketing, and
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