AI Product Manager

About the role

This role blends product thinking with hands-on engineering, enabling you to move from idea to production quickly using AI-first workflows. You’ll work at the intersection of cybersecurity, AI, and product innovation—building systems that detect, analyze, and respond to threats in real time.

Responsibilities

• Rapidly prototype new security features using AI coding tools (e.g., Cursor, Copilot) and modern development workflows to explore product ideas and technical feasibility.
• Leverage internal data, threat intelligence, and market signals to identify high-impact opportunities and validate product direction.
• Own product definition end-to-end—translating ambiguous problems into clear requirements and shipped solutions.
• Balance trade-offs across security effectiveness, performance, usability, and operational complexity.
• Partner cross-functionally with engineering, security researchers, and business stakeholders to deliver impactful outcomes.
• Identify opportunities to automate workflows across teams using agentic AI systems and internal tooling.
• Contribute to the evolution of next-generation AI-driven cybersecurity capabilities, including detection, response, and analysis systems.

Requirements

The ideal candidate is deeply technical, AI-native in how they build, and energized by solving complex security problems in a fast-moving, high-ownership environment.

Qualifications

• Bachelor’s degree or higher in a technical field (or equivalent experience).
• 5+ years of experience in product development, or a hybrid role, including building AI-powered applications.
• Strong hands-on experience with LLMs and AI coding tools for prototyping and analysis.
• Experience building systems that incorporate GenAI (e.g., LLM integrations, RAG pipelines, agentic workflows, evaluation frameworks).
• Proven ability to take products from concept to launch with a strong focus on user impact.

Skills

• Experience building security or infrastructure products (e.g., detection systems, monitoring tools, or distributed services).
• A portfolio of projects demonstrating AI-native rapid prototyping.
• Experience instrumenting products with analytics and telemetry to drive decision-making.
• Familiarity with cloud infrastructure (e.g., AWS) and data visualization tools.

Pay

TBD

Schedule

TBD

Benefits

TBD