Jobs at TENEX.AI

Lead the architecture, governance, reliability, security, and operation of highly scalable Azure infrastructure supporting large-scale security data workloads. Own SRE practices, SLOs, observability, disaster recovery, CI/CD, infrastructure as code, DevSecOps, container orchestration, and platform automation. Partner with engineering, AI/ML, product, and security teams to optimize performance and costs, ensure workload portability, and mentor teams on Azure architecture and reliability.

As a Software Engineer II, you will design and develop backend services and frontend applications, collaborate with teams, and improve development processes.

Design, build, and productionize scalable AI systems for autonomous detection, RAG-backed investigations, and auto-remediation. Develop LLMs, graph-based reasoning engines, streaming pipelines, evaluation/red-team processes, and collaborate with cross-functional teams to translate attacker behavior into robust detections.

Design, develop, and productionize scalable AI systems for autonomous threat detection and response. Build LLM-based reasoning engines, graph-based analytics, streaming feature pipelines, orchestration frameworks, and evaluation/reliability tooling. Collaborate with product, detection engineering, and customer teams to translate attacker behavior into robust ML and rule-based detections.

Lead design and delivery of scalable AI systems for autonomous threat detection and response. Build and productionize LLMs, graph reasoning engines, streaming feature pipelines, and orchestration frameworks. Own evaluation, reliability, and cross-functional collaboration while mentoring engineers and experimenting with RAG, tool-calling agents, and multi-modal models.

The Customer Engineer will provide technical expertise during sales, ensure efficient customer onboarding, support incident planning, and represent TENEX at industry events while developing cloud security knowledge.

TENEX.AI is seeking talented individuals for future cybersecurity roles. Submit applications for potential opportunities in a rapidly growing startup.

The Staff Software Engineer will lead technical vision and execution, drive architectural decisions, mentor engineers, and ensure code quality and scalability.

Design and develop backend services and frontend applications while collaborating closely with teams. Focus on clean coding, troubleshooting, and process improvement.

As a Senior Data Engineer, you will design and implement data infrastructure, build ETL/ELT pipelines, manage data warehouses, and enable analytics for various teams within the organization.

The Forward Deployed Engineer interfaces directly with customers to assess and resolve security issues, delivering tailored AI and data-driven solutions, while documenting processes for broader application across customers.

As a Principal AI Engineer, you'll design scalable AI systems, mentor teams, develop large-scale LLMs, and optimize AI-driven cybersecurity solutions.

Design and develop scalable backend services and APIs, building frontend applications, collaborating on features, and ensuring system reliability. Lead technical projects and improve engineering practices.

Lead delivery of complex AI-native security programs, operationalize AI/LLM deployments, manage risks and dependencies across engineering and SecOps, define governance and best practices, and translate technical strategy for executives to meet product milestones.

The Software Engineer Intern will design, develop, and deploy backend services and APIs, participate in software development activities, write clean code, and troubleshoot issues.

Build and scale full-stack software for an AI-native cybersecurity platform. Responsibilities include developing backend services and APIs, creating frontend applications, collaborating on product features, writing tested code, participating in reviews, troubleshooting across the stack, and improving engineering processes. The role requires 3–5 years of software engineering experience and experience with backend, frontend, databases, and cloud technologies. Docker, Kubernetes, CI/CD, AI/ML, and startup experience are preferred.

Design, develop, deploy, and maintain scalable backend services, APIs, and frontend applications. Own projects from architecture through monitoring, collaborate with product and design teams, participate in technical and code reviews, troubleshoot complex issues, and improve engineering practices. The role focuses on secure, reliable systems across cybersecurity, AI, and distributed systems while providing technical guidance to peers.

Lead and grow Regions, Canada & Startups sales vertical as a player-coach. Own ARR quota, forecast accuracy, and pipeline; hire, train, and manage up to 11 AEs across US and Canada; drive Google Cloud co-sell motions and executive alignment; build Canada and Startups go-to-market from scratch; define regional org structure, comp, and quota planning.

Lead the end-to-end product lifecycle for AI-native cybersecurity offerings, defining multi-year AI strategy, translating LLM research into automated detection and response, and partnering cross-functionally to deliver agentic automation that reduces alert fatigue and drives measurable security outcomes.

The Enterprise Sales Director will drive revenue growth by identifying and closing new business opportunities, manage client relationships, and collaborate with internal teams to enhance customer satisfaction.