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 MDR landscape.
As Head of Product Management at TENEX, you will be a key technical leader responsible for designing, developing, and optimizing scalable, high-performance AI systems. You will play a crucial role in shaping the architecture of our AI-driven cybersecurity solutions while mentoring engineering teams and driving technical innovation.
Culture is one of the most important things at TENEX.AI—check out our culture deck at culture.tenex.ai to experience how we champion it, valuing the unmatched collaboration and community of in-person work while offering flexibility for the best of the best.
As a Head of Product Management at TENEX, you will be a strategic leader responsible for defining the product vision, strategy, and roadmap for our portfolio of AI-driven cybersecurity services. You will manage the entire product lifecycle, translate customer and market needs into clear requirements, and drive cross-functional execution to ensure the delivery of innovative, high-impact security solutions.
Location: This role will require onsite 4 days a week in our San Jose, CA, Kansas City, MO or Sarasota, FL location.
Define Product Strategy & Vision: The entire service portfolio, overseeing market research, competitive analysis, and strategic planning to identify new growth opportunities and maintain market leadership.
Own the Product Roadmap: AI-driven detection, investigation, and auto-remediation workflows, prioritizing initiatives that maximize customer value, business goals, and P&L targets.
Lead Product Lifecycle: From concept through launch, focusing on feature definition, market fit, pricing, and packaging for new and existing services, especially those incorporating cutting-edge AI/ML.
Drive Market Analysis & Customer Insights: Translating real-world attacker behavior and customer pain points into clear, actionable product requirements and user stories for engineering and design teams.
Lead & Mentor Product Management Team: Managing product managers and a diverse set of stakeholders. Drive a culture of customer-centricity, data-driven decision-making, and continuous learning.
Collaborate with Engineering & UX: Ensuring high-quality, on-time delivery of product features, balancing long-term strategic investments with immediate customer needs.
Define and Monitor Product KPIs: (e.g., adoption, revenue, customer satisfaction, retention) and oversee the operational success and reliability of products in production.
Partner with Sales, Marketing, & Customer Success: Develop go-to-market strategies, sales enablement content, and product positioning that clearly articulates the value proposition to the market.
Foster Innovation: Identify and drive the adoption of new technologies and engineering methodologies within the product. Push the frontier—experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models (text + logs + graphs) to maintain a competitive advantage.
Product Leadership & Management Expertise
8+ years of progressive experience in Product Management, including 3+ years managing multiple product teams or a significant product portfolio.
Proven track record of defining and executing product roadmaps, managing P&L, and scaling product organizations in a high-growth environment.
Expertise in product management best practices, agile methodologies, GTM strategies, and driving organizational process improvements.
Security & Technical Acumen
10+ years of experience in the cybersecurity, enterprise SaaS, or B2B technology industry.
Strong familiarity with scalable, distributed system architecture, microservices, and containerization (Docker, Kubernetes).
Deep understanding of security technologies such as SIEM, EDR, SOAR, Threat Intelligence, and security event processing at scale.
Strong fundamentals in API design (REST/gRPC) and data modeling from a product-definition perspective.
AI/ML Expertise
Deep understanding of how AI/ML, LLMs, and Vector databases can be applied to solve complex cybersecurity problems (e.g., autonomous detection, investigation, and response).
Experience defining product requirements for AI-driven features and orchestration frameworks (e.g., LangChain/LangGraph, custom agents).
Nice-to-have
Prior experience in a Managed Security Service Provider (MSSP) or Managed Detection and Response (MDR) setting.
Experience with graph databases or security-focused knowledge graphs.
Familiarity with cloud infrastructure security (AWS, GCP, or Azure).
Background leading teams in high-growth startups or enterprise SaaS.
Soft Skills
Exceptional communication, presentation, and negotiation skills, with the ability to articulate product strategy to executive leadership, technical teams, and external customers.
Strong strategic thinking and analytical skills to solve complex business and technical problems.
Proven ability to mentor, inspire, and grow senior technical talent and leadership within the organization.
A strong passion for cybersecurity and a commitment to building security-first products and automation.
Clear, concise communication skills and a bias for collaborative problem-solving.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (e.g., Business or Information Security).
Relevant certifications (e.g., security-related credentials or product management certifications) are a plus.
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.
If you're passionate about combining cybersecurity expertise with artificial intelligence and have experience with Google SecOps and Chronicle, we encourage you to apply!
We practice pay transparency and reward performance. Offers reflect role location, internal equity, experience, skills, education, and certifications. Base salary for this position in San Jose, CA: $200,000 - $300,000.
tenex