Principal Product Manager - AI

This Principal Product Manager role leads the strategy for an AI-native Managed Detection and Response (MDR) platform. You will own the 0-to-1 lifecycle of autonomous security defense products powered by LLMs.

What you’d own

End-to-end lifecycle of AI-native cybersecurity products
Multi-year strategic roadmap for AI-driven security
Translation of LLM research into automated hunting playbooks
Product discovery with CISOs to solve alert fatigue

Who it’s for

A fit if you…

✓You have 8+ years of experience in cybersecurity or AI product management
✓You have a proven track record of taking complex AI products from zero-to-one
✓You possess deep domain knowledge in threat detection and MDR operations
✓You understand multi-agent architectures and RAG pipelines

Not for you if…

✗You prefer established product markets over 0-to-1 discovery and definition
✗You lack the technical depth to partner with AI Research and Detection Engineering teams
✗You prefer a structured corporate environment over a high-growth startup pace

Reading between the lines

The mention of 'agentic frameworks' and 'autonomous defense strategies' implies you will be working on highly complex, non-deterministic systems rather than simple wrappers.
The requirement to 'translate frontier LLM research' suggests a high degree of technical ambiguity where you must turn academic concepts into shipping features.

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Full job description

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.

About TENEX.AI

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TENEX.AI runs an AI-native, human-led security operations center, offering managed detection and response that uses domain-specific AI to triage every security alert in under a minute, then hands the highest-priority threats to human analysts. It manages Google and Microsoft security operations platforms for customers ranging from mid-sized businesses to the Fortune 500, priced by data volume. Founded by leaders who previously built Google's largest cybersecurity partner, the company is backed by Andreessen Horowitz and Shield Capital. Its culture is explicitly pro-AI, framing the technology as amplifying analysts rather than replacing them. For a PM, it is an AI-first cybersecurity services product scaling quickly.

Security & ComplianceAI & Machine Learning