Country Manager (AI Cyber Defense)

Company Description OrcaRouter is a unified AI inference gateway and open AI infrastructure platform that gives developers one API key to access more than 200 models across providers such as OpenAI, Anthropic, Gemini, DeepSeek, Qwen, Kimi, and xAI. The platform offers adaptive routing, automatic fallback, unified billing, bring-your-own-key options, and zero markup, while supporting both OpenAI-compatible APIs and native Anthropic and Gemini endpoints. In addition to the hosted gateway, OrcaRouter actively builds in the open, providing self-hosted routing infrastructure, MCP tooling, SDK integrations, and open-weight model releases backed by ongoing research. The company maintains a strong presence across developer ecosystems and research communities, and publishes documentation and resources to help teams adopt and scale AI securely and efficiently.
Role Description The Country Manager (AI Cyber Defense) for Singapore will lead OrcaRouter’s local market strategy, operations, and growth initiatives with a focus on AI security and cyber defense applications. This full-time, on-site role in Singapore includes driving customer acquisition, managing strategic partnerships, and overseeing compliance with regional regulations related to AI infrastructure and cybersecurity. The Country Manager will collaborate with product, engineering, and security teams to localize offerings, gather customer feedback, and ensure that OrcaRouter’s AI routing and defense capabilities meet enterprise needs. Day-to-day responsibilities involve building and mentoring a local team, representing OrcaRouter at industry events, engaging with government and regulatory bodies where appropriate, and reporting market insights and performance metrics to global leadership.
Qualifications
Strong foundation in Data Science, with experience applying data-driven methods to AI security or cyber defense use cases.
Excellent Analytical Skills and hands-on experience with Analytics to interpret complex datasets and inform strategic decisions.
Practical experience with Machine Learning, including deploying or managing ML models in production environments.
Proficiency in Data Mining techniques to identify patterns, anomalies, and potential threats within large-scale data streams.
Proven experience in country or regional leadership roles, ideally in AI, cybersecurity, or cloud infrastructure sectors.
Knowledge of cybersecurity frameworks, regulatory landscapes, and risk management practices relevant to AI and data infrastructure.
Strong stakeholder management, communication, and negotiation skills, with the ability to engage enterprise customers and partners.
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Security, or a related field, or equivalent practical experience.
Ability to work on-site in Singapore and collaborate effectively with global, cross-functional teams.