Senior Product Manager – AI Gateway

Job not on LinkedIn

🕒 August 28

🇺🇸 United States – Remote

💵 $130k - $162k / year

⏰ Full Time

🟠 Senior

✅ Product Manager

👻 Ghost score 17%

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Logo of Delinea

Delinea

1001 - 5000 employees

Founded 2021

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

💰 Private Equity Round on 2021-03

Cybersecurity • SaaS • Enterprise

Delinea is a cybersecurity company that provides privileged access management (PAM) and identity security software. The Delinea Platform (powered by Iris AI) continuously discovers and inventories human, machine, and AI identities across cloud, on-premise, hybrid, and SaaS environments; vaults, rotates, and governs credentials; enforces just-in-time and zero standing privilege; performs identity posture and threat analysis; and provides real-time, policy-based runtime authorization and auditing for privileged access and AI agents.

📋 Description

• Drive new product development for AI initiatives focused on identity security, authorization, and privileged access • Translate emerging identity, security, and AI market trends into well-scoped features and product improvements • Partner with senior product leadership to shape the AI roadmap • Ship innovative features quickly while meeting enterprise-scale customer requirements • Collaborate with Engineering, Design, Sales, Marketing, and Customer Success • Own product initiatives from concept through launch with measurable adoption and user-success outcomes • Conduct discovery research with CISOs, security architects, and compliance teams • Support external storytelling through customer conversations, case studies, and occasional analyst or conference engagement • Report to the Senior Director, Product Management

🎯 Requirements

• 5+ years in product management • Preferably experience in AI/ML, cybersecurity, identity, or network security • Familiarity with identity and access management (IAM), privileged access management (PAM), and identity governance (IGA) • Solid understanding of large language models, multi-agent systems, MCP (Model Context Protocol), and A2A (Agent-to-Agent Protocol) • Ability to discuss technical tradeoffs with engineering teams • Experience collaborating with data scientists, engineers, and UX professionals • Knowledge of compliance, security, and privacy best practices for enterprise software and AI products • Demonstrable record of managing and launching AI-driven or data-centric products through the full product lifecycle • Experience supporting or growing open-source AI platforms and/or direct customer-facing products • Excellent written and verbal communication skills • Up to 25% travel

🏖️ Benefits

• Meaningful bonus program • Healthcare insurance • Pension/retirement matching • Comprehensive life insurance • Employee assistance program • Time off plans • Paid company holidays • Equity

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