Senior Product Manager – AI Security

🔥 10 minutes ago

🇭🇷 Croatia – Remote

⏰ Full Time

🟠 Senior

✅ Product Manager

👻 Ghost score 10%

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Zscaler

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

💰 Secondary Market on 2017-11

Cybersecurity • SaaS • Enterprise

Zscaler is a leading provider of cloud-based cybersecurity solutions, specializing in Zero Trust architecture. The company enhances security and connectivity for organizations by enabling seamless, secure access to applications and data across various environments, including the cloud, on-premises data centers, and IoT systems. With proven ROI and significant reductions in cybersecurity risks, Zscaler empowers enterprises to protect their digital resources while optimizing operational costs.

📋 Description

• Own the AI-SPM roadmap and strategy end to end, defining product direction across discovery, risk assessment, data lineage, and remediation workflows • Translate the modern AI stack and threat landscape into shippable posture capabilities and controls aligned with OWASP and NIST • Build working prototypes and data-backed proofs of concept using Claude and other AI tooling to streamline engineering development • Scale the product from design partners to GA, driving pricing, packaging, and operational maturity • Lead go-to-market efforts and serve as the external voice of the product in CISO briefings and analyst engagements • Report to the Director, Product Management in the PM - Security AI department

🎯 Requirements

• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain • 7+ years in product management, including at least 3 years building B2B enterprise security products, or equivalent depth as a security architect, engineer, or founder • Hands-on experience building posture management products such as CSPM, SSPM, DSPM, CNAPP, or CIEM • Architectural understanding of AI platform architectures, permissions, and vector store data exposures • Strong working knowledge of the AI threat landscape and applicable regulatory frameworks • Proven track record of leveraging AI technologies and workflows to design security controls for agentic AI architectures, LLM guardrails, or model registry environments • Experience with agentic AI security, LLM guardrails, or AI runtime protection • Familiarity with Zero Trust architecture, SASE, DLP, or CASB product lines

🏖️ Benefits

• Various health plans • Time off plans for vacation and sick time • Parental leave options • Retirement options • Education reimbursement • In-office perks • Hybrid working model

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