AI Senior Product Manager

Coralogix is a leader in AI-powered observability, providing a modern, full-stack platform that transforms how businesses process and understand their data. Our unique architecture leverages advanced AI to provide proactive insights and intelligent data analysis across logs, metrics, traces, and security events - all powered by in-stream analytics without reliance on expensive indexing. By integrating automated incident response and machine learning into the core of the observability workflow, Coralogix sits at the forefront of the AI revolution, helping engineering and security teams improve operational efficiency while cutting observability spend by up to 70%.

About the Role

We are looking for a hands-on, builder-minded AI Senior Product Manager to lead a high-stakes, 0-to-1 initiative.

This is a rare opportunity to operate with the agility and autonomy of a startup founder while leveraging the massive datasets, engineering resources, and established market presence of an industry leader.

This role sits squarely at the intersection of Cybersecurity and AI. You will be responsible for building a net-new product from the ground up - translating raw technical concepts into production-grade reality. We are looking for an entrepreneurial builder who thrives in ambiguity and is obsessed with rapid iteration and technical depth.

This is not a role for a traditional "project manager." You must be a hands-on owner who brings strong, opinionated perspectives formed by real-world technical experience. You will own product initiatives from deep problem discovery through engineering execution, validating and shipping products that security practitioners rely on every day.

What You'll Do

• Drive 0-to-1 Cybersecurity & AI Products End-to-End
• Operate with a founder's mentality: own the product lifecycle from initial discovery and definition to UX design, technical execution, customer validation, and production release.
• Frame ambiguous market opportunities into simple, well-scoped milestones, specs, and rapid execution plans.
• Act as a hands-on builder-owning the outcome end-to-end rather than just managing processes or tickets.
• Build Practical, Production-Grade Capabilities for Security
• Identify key leverage points in security workflows (e.g., threat hunting, incident response) where AI can unlock step-function improvements.
• Harness and build on top of existing AI agentic frameworks to solve complex cybersecurity challenges - translating model strengths and limitations into practical UX decisions.
• Go beyond theoretical AI buzzwords to ship reliable, predictable, and value-driving security features in production.
• Partner Deeply with Engineering & Security Experts
• Work daily with Tech Leads, AI Engineers, Security Analysts, and Designers in a highly collaborative, fast-paced environment.
• Get comfortable looking at raw logs, trace data, system architectures, and security vulnerabilities alongside engineers to deeply understand root causes and technical tradeoffs.
• Challenge unnecessary technical complexity and continuously push for the simplest, most elegant solution.
• Own UX & Product Quality for Technical Users
• Maintain an exceptionally high bar for product quality, clarity, and system reliability.
• Abstract dense technical data, security alerts, and complex AI outputs into intuitive, actionable user workflows.
• Treat launch day as the start of continuous learning - actively monitoring usage metrics, validating edge cases, and rapidly iterating based on live system feedback.
• Stay Connected to Technical Customers
• Engage directly with security practitioners, DevOps, and SREs to uncover genuine friction points in their daily operations.
• Translate raw customer feedback into prioritized product roadmaps grounded in real operational impact.

Requirements

What We're Looking For

• Extensive Product Management Experience: Proven track record in B2B SaaS, specifically leading 0-to-1 product units. An entrepreneurial, founder-level mindset is critical for success here.
• Practical AI Application: We need a practitioner, not a researcher. You have experience harnessing LLMs, RAG, or AI agents to solve real-world problems, translating model strengths and limitations into practical UX decisions.
• Non-Negotiable Cybersecurity Mastery: Theoretical or "buzzword" knowledge is insufficient. You must demonstrate deep, hands-on technical mastery of how vulnerabilities and exploits work at a code and infrastructure level. You are comfortable inspecting raw logs, reviewing API structures, and debating technical tradeoffs with engineers.
• Builder Mindset: Strong ownership instincts. You care deeply about execution speed, customer impact, and shipping high-quality software end-to-end.
• Outcome-Driven Impact: You focus on delivering tangible value to users, ensuring the complexity of technical data is simplified into immediate, actionable outcomes rather than just features that look good.
• Clear Communication & Influence: Concise, high-signal written and verbal communication style with a strong preference for actionable docs over unnecessary meetings, and the ability to influence others without direct authority.

Huge Advantage If You Have

• Deep Domain Expertise: Hands-on experience with SIEM, or cybersecurity workflows.
• Ex-Engineer / Security Background: Prior experience as a Software Engineer, Security Analyst, DevOps Engineer, or System Architect.
• 0-to-1 AI Production Track Record: Experience taking an AI capability from early concept/POC all the way to enterprise-grade production.
• Inbound Passion: You are an active user, tinkerer, or follower of the modern AI and cybersecurity tooling ecosystems and have genuine excitement for the space.

Why Join Us?

You will have direct ownership over building a net-new product at the intersection of AI and cybersecurity. This role offers high visibility, significant autonomy, and the chance to operate like an entrepreneur within a growing company, solving high-stakes technical problems every day.