
Cybersecurity ⢠AI ⢠Enterprise
Maze is a cybersecurity company that leverages Agentic AI to manage and mitigate vulnerabilities within cloud environments. By automating the investigation and prioritization of vulnerabilities, Maze helps organizations identify critical weaknesses before they can be exploited by attackers. Their innovative approach significantly reduces the backlog of vulnerabilities, focusing on the most pressing security risks and enabling efficient remediation workflows.
11 - 50 employees
Founded 2024
đ Cybersecurity
đ˘ Enterprise
October 21
đŠđŞ Germany â Remote
đľ âŹ110k - âŹ160k / year
â° Full Time
đĄ Mid-level
đ Senior
â Product Manager

Cybersecurity ⢠AI ⢠Enterprise
Maze is a cybersecurity company that leverages Agentic AI to manage and mitigate vulnerabilities within cloud environments. By automating the investigation and prioritization of vulnerabilities, Maze helps organizations identify critical weaknesses before they can be exploited by attackers. Their innovative approach significantly reduces the backlog of vulnerabilities, focusing on the most pressing security risks and enabling efficient remediation workflows.
11 - 50 employees
Founded 2024
đ Cybersecurity
đ˘ Enterprise
⢠Own Product Strategy and Vision: Define and drive the product roadmap for our agentic vulnerability management platform, focusing on use cases that directly impact customer workflows and drive ARR growth ⢠Enable Engineering Excellence: Work collaboratively with engineering teams by giving them freedom to research and iterate, using them as partners in discovery rather than just implementers of your requirements ⢠Drive Zero-to-One Product Development: Take new product capabilities from concept to launch, building features and verticals from scratch while establishing product-market fit through customer validation ⢠Act as Product Marketer: Own messaging and positioning for your product area, write technical content that showcases our unique capabilities, and support sales teams with training and enablement materials ⢠Champion Customer-Centric Development: Spend significant time with customers conducting research, validating hypotheses, and translating security workflows into product requirements that solve real pain points ⢠Make Commercial Product Decisions: Balance technical possibilities with commercial reality, having the courage to say no to features you like if they don't drive measurable customer value or revenue impact ⢠Communicate Technical Depth: Articulate complex technical concepts to both engineering teams and customers, bridging the gap between AI agent capabilities and security engineering workflows
⢠Security Domain Expertise: Deep understanding of security workflows and challenges, with direct experience in vulnerability management, risk assessment, EDR/NDR, cloud security, or related technical security domains ⢠Proven PM Experience: 4-7 years in product management with track record of shipping products that customers love and that drive measurable business outcomes ⢠Technical Depth: Ability to get very technical when needed, understanding concepts like CI/CD pipelines, software testing, development workflows, and cloud infrastructure to effectively collaborate with engineering teams ⢠Zero-to-One Builder: Direct experience taking new products or significant features from concept to launch, with comfort building in ambiguous environments where the path isn't clear ⢠Commercial Mindset: Track record of making product decisions based on revenue impact and customer value, with ability to set success metrics for POCs and measure outcomes objectively ⢠Collaborative Leadership: Experience working with engineering teams in a partnership model, giving autonomy while maintaining clear priorities and strategic direction ⢠Startup Velocity: Ability to move quickly between detailed execution and strategic thinking, planning near-term work meticulously while maintaining long-term vision ⢠Customer Obsession: Genuine passion for understanding security challenges and spending time with customers to deeply understand their workflows and pain points ⢠Nice to Haves: ⢠Experience at technical security product companies (especially vulnerability management, risk platforms, or detection tools) ⢠Background as a backend or infrastructure engineer who transitioned to product management ⢠Track record of product marketing or technical content creation ⢠Experience with AI/ML products or agent-based systems ⢠ServiceNow, CMDB, or operational security tool experience
⢠Ambitious Challenge ⢠Expert Team ⢠Impactful Work ⢠Build an AI-Native Company ⢠Product Leadership Growth
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