TENEX.AI Logo

TENEX.AI

Principal Product Manager - AI

Reposted 13 Hours Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
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 summary above was generated by AI

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.

Similar Jobs

2 Days Ago
Remote or Hybrid
221K-387K Annually
Expert/Leader
221K-387K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead the conversational core of ServiceNow’s Voice AI platform, owning dialog quality, LLM selection, evaluation, voice-to-voice model integration, deployment strategy, and enterprise customer enablement. Drive the product from early production validation toward approximately 100 live customers, improving conversational quality, containment, reliability, latency, transcription accuracy, and task completion. Define the roadmap, evaluations, and technical strategy for real-time voice interactions and scale the platform against major startups and CCaaS competitors.
Top Skills: Amazon ConnectAsrCcaasGenesysLlmsReal-Time Media SignalingSipSpeech-To-SpeechStreamingTelephonyTtsTwilioVoice Ai
19 Days Ago
Easy Apply
Remote
United States
Easy Apply
Senior level
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Lead product vision and strategy for an end-to-end AI-powered software factory. Integrate planning, coding, review, and verification across GitLab Duo Agent Platform and product areas. Collaborate with engineering, design, and GTM teams, identify gaps and dependencies, present recommendations to executives, and drive execution to deliver cohesive developer workflows.
Top Skills: AIDevsecopsGitlabGitlab Duo Agent Platform
2 Days Ago
Remote
United States
200K-316K Annually
Senior level
200K-316K Annually
Senior level
Cloud • Security • Software • Generative AI
Lead Elastic’s strategy, vision, and multi-quarter roadmap for vector databases, embedding and reranking models, vector indexing, semantic ingestion, and search capabilities. Conduct market and competitive research, define product metrics, prioritize features, and partner closely with engineering, cloud, and applied research teams. Guide technical trade-offs involving recall, latency, index size, ingestion throughput, model lifecycle, and total cost of ownership across serverless and self-managed deployments.
Top Skills: Approximate Nearest Neighbor (Ann) IndexingDeveloper ApisEmbeddingsGenerative ModelsHybrid RetrievalMachine LearningModel Fine-TuningSdksVector DatabasesVector IndexingVector Search

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account