Director of AI/ML

COMPANY OVERVIEW: TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape. We’re a fast growing startup backed by industry experts and top tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you’ll play a meaningful role in defining and building our culture. Get in on the ground floor. We’re a small but well-funded team that just raised a substantial round – joining now comes with limited risk and unlimited upside. As a Director of AI/ML Software Engineering at TENEX, you will be a strategic technical leader responsible for setting the technical vision, managing multiple engineering teams, and driving the execution of scalable, high-performance software and AI systems. You will play a crucial role in shaping the architecture of our AI-driven cybersecurity solutions, fostering technical excellence, and ensuring alignment with the overall product strategy. You’ll collaborate closely with product and design teams, making key technical decisions and helping define how our platform evolves. This is an opportunity to work on challenging engineering problems in security, AI, and distributed systems, while growing into a leadership position as the company scales. Location: This role will require being onsite Monday - Thursday in our San Jose, CA, Sarasota FL or Kansas City, MO office. WFH on Friday. Job Responsibilities - Set Technical Strategy & Vision: Oversee the design and architecture of scalable, reliable, and secure systems that power our autonomous detection, RAG-backed investigation, and auto-remediation workflows. - Design & Build the AI Layer: Power autonomous detection, RAG-backed investigation, and auto-remediation workflows. - Develop and Productionize: large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines that operate on billions of security events. - Own Evaluation & Reliability: AI systems—from prompt libraries and fine tuning to red-team testing, latency budgets, and fallback strategies. - Lead & Mentor Engineering Teams: Manage multiple team leads and a diverse cohort of engineers. Drive a culture of technical excellence, accountability, and continuous improvement. Mentor & grow a cohort of AI engineers; run design reviews, uphold code quality, and instill a security-first mindset. - Drive Execution & Delivery: Execute and drive complex software projects across the full stack, ensuring high-quality, on-time delivery while managing technical debt and balancing immediate needs with long-term architectural health. - Own Operational Excellence & Reliability: Establish best practices for system monitoring, performance, accessibility, and security in production environments operating on billions of security events. - Collaborate Cross-Functionally: Collaborate with Product Management, Detection Engineering, and Customer Success to define the product roadmap, translate business needs into technical requirements, and ensure technical investments align with customer value. Partner tightly with Product, Detection Engineering, and Customer Success to translate real-world attacker behavior into robust ML and rule-based detections. - Foster Innovation: Identify and drive the adoption of new technologies, frameworks, and engineering methodologies. Push the frontier—experiment with retrieval-augmented generation, tool-calling agen