The job, in the employer's words
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 the Principal Product Manager for AI Strategy at TENEX, you will be a visionary product leader responsible for defining and building the next generation of our AI-native proactive defense capabilities. You will own the end-to-end product lifecycle for our AI-driven security offerings, transforming complex security data into autonomous defense strategies powered by deep LLM integration. This is a high-impact role requiring a rare combination of deep cybersecurity domain expertise and a proven track record of taking zero-to-one AI products to market in a fast-paced, startup environment.
Job Responsibilities
0-1 AI Product Leadership: Own the entire lifecycle of our AI-native cybersecurity products from initial concept and discovery through to launch and scaling.
Strategic AI Roadmap: Define and execute a multi-year product strategy for AI-driven security that aligns with TENEX's automation-first mission and maintains our competitive advantage using advanced LLM architectures.
Domain Expert Integration: Partner with our AI Research and Detection Engineering teams to translate frontier LLM research into automated hunting playbooks and real-time intelligence feeds.
Cross-Functional Leadership: Guide engineering, design, and GTM teams through the complexities of building AI-driven security products, ensuring technical investments translate directly to measurable customer security outcomes.
Market & Customer Insight: Conduct deep discovery with security practitioners and CISOs to identify unmet needs in the AI-driven security landscape and build products that solve for alert fatigue using agentic frameworks.
Required Skills & Qualifications
0-1 AI Experience: Demonstrated success in taking at least one complex AI-driven cybersecurity product from initial idea to successful market adoption.
Deep LLM & AI Knowledge: Strong understanding of how LLMs, multi-agent architectures, and RAG pipelines can be leveraged to automate security analyst workflows.
Cybersecurity Expertise: Deep domain knowledge in threat detection, MDR, and security operations, with the ability to translate technical AI capabilities into security outcomes.
Product Leadership: 8+ years of experience in Product Management within the cybersecurity or AI space, with a bias for technical products and high-growth environments.
Communication: Ability to articulate a clear product vision and complex technical concepts to both executive stakeholders and technical individual contributors.
Education & Certifications
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Security, or a related field.
Relevant security certifications (e.g., GCTI, GCFA, CISSP) or product management credentials are a significant plus.
Why Join Us?
Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions.
Collaborate with a talented and innovative team focused on continuously improving security operations.
Competitive salary and benefits package.
A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.
Benefits mentioned
- Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions.
- Collaborate with a talented and innovative team focused on continuously improving security operations.
- Competitive salary and benefits package.
- A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.
Requirements mentioned
- 0-1 AI Experience: Demonstrated success in taking at least one complex AI-driven cybersecurity product from initial idea to successful market adoption.
- Deep LLM & AI Knowledge: Strong understanding of how LLMs, multi-agent architectures, and RAG pipelines can be leveraged to automate security analyst workflows.
- Cybersecurity Expertise: Deep domain knowledge in threat detection, MDR, and security operations, with the ability to translate technical AI capabilities into security outcomes.
- Product Leadership: 8+ years of experience in Product Management within the cybersecurity or AI space, with a bias for technical products and high-growth environments.
- Communication: Ability to articulate a clear product vision and complex technical concepts to both executive stakeholders and technical individual contributors.
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