Principal Product Manager – AI

🔥 12 hours ago

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TENEX.AI

11 - 50 employees

Founded 2024

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

Cybersecurity • Artificial Intelligence • SaaS

TENEX. AI is a cybersecurity company that specializes in offering AI-driven Managed Detection and Response (MDR) services. They provide comprehensive solutions for threat management, security automation, and rapid incident response, ensuring organizations can detect and neutralize cybersecurity threats in real-time. TENEX leverages advanced AI technology to automate routine security tasks and enhance operational efficiency, allowing enterprises of all sizes to scale their cybersecurity measures and maintain robust protection against emerging threats.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Competitive salary and benefits package • A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.

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