22 hours ago

Senior AI Product Manager

Delinea

On Site
Full Time
₪350,000
Tel Aviv-Yafo, Tel Aviv District, Israel

Job Overview

Job TitleSenior AI Product Manager
Job TypeFull Time
Offered Salary₪350,000
LocationTel Aviv-Yafo, Tel Aviv District, Israel

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Job Description

About Delinea

Delinea is a pioneer in securing human and machine identities through intelligent, centralized authorization, empowering organizations to seamlessly govern their interactions across the modern enterprise. Leveraging AI-powered intelligence, Delinea’s leading cloud-native Identity Security Platform applies context throughout the entire identity lifecycle – across cloud and traditional infrastructure, data, SaaS applications, and AI. It is the only platform that enables you to discover all identities – including workforce, IT administrator, developers, and machines – assign appropriate access levels, detect irregularities, and respond to threats in real-time. With deployment in weeks, not months, 90% fewer resources to manage than the nearest competitor, and a 99.995% uptime, Delinea delivers robust security and operational efficiency without compromise. Learn more about Delinea on Delinea.com, LinkedIn, X, and YouTube.

Join our passionate, global team at Delinea and help us make the world a safer and more secure place. Our success is driven by world-class product leadership, outstanding engineers, and strategic investment from TPG. We value diversity, innovation, and a culture of respect and fairness. If you're ready to push boundaries and challenge the status quo in security, we want to hear from you.

Apply today to help us achieve our mission.

Position Summary

Delinea is seeking a Senior AI Product Manager to lead both internal infrastructure and external product initiatives for our AI capabilities in identity security. This role is responsible for owning core internal AI infrastructure—including load balancing, compliance automation, security monitoring, feedback systems, model routing, and company-specific fine-tuned models. On the external side, you may own strategic open source solutions like the MCP server or deliver customer-facing capabilities as part of our Iris AI offering. You will collaborate across engineering, data science, and business teams to deliver innovative product strategies that maximize both operational excellence and customer impact. This strategic position shapes the future of Delinea’s platform and strengthens our leadership in identity-led AI and security.

Key Responsibilities

  • Internal AI Product Ownership: Define, execute, and optimize the architecture and roadmap for critical internal AI infrastructure (including but not limited to load balancing, compliance, monitoring, feedback, model routing, and enterprise fine-tuned LLMs).
  • External Product Leadership: Own and evolve open-source AI platforms (e.g., MCP Server) and customer solutions within Iris AI, focusing on robust, scalable product delivery and driving adoption in enterprise environments.
  • Cross-functional Delivery: Partner with engineering, data science, operations, and customer-facing teams to deliver seamless AI solutions for both internal business functions and external customers.
  • Stakeholder Alignment: Engage and align business leaders, tech teams, and customers on new AI-powered capabilities, requirements, and releases.
  • Security & Compliance: Ensure products meet stringent compliance, governance, and security standards throughout the lifecycle.
  • Market Innovation: Identify opportunities for leveraging AI protocols and multi-agent frameworks (MCP, A2A, etc.) to deliver advanced identity security solutions.

Skills & Requirements

  • Experience: 5+ years in product management, preferably in AI/ML, cybersecurity, identity, or enterprise SaaS.
  • Domain Expertise: Familiarity with identity and access management (IAM), privileged access management (PAM), and identity governance (IGA).
  • Technical Acumen: Solid understanding of modern AI/ML concepts—including large language models, multi-agent systems, context engineering, MCP (Model Context Protocol), A2A (Agent-to-Agent Protocol), and expertise in model fine-tuning and training. Ability to discuss technical tradeoffs with engineering teams and ensure product requirements reflect best practices in agent-enabled systems.
  • Collaboration Skills: Proven ability to work alongside data scientists, engineers, and UX professionals to define, prioritize, and deliver solutions that balance technical viability, scalability, and user experience.
  • Security Sensibility: Knowledge of compliance, security, and privacy best practices relevant to enterprise software and AI products.
  • Product Delivery: Demonstrable record of managing and launching AI-driven or data-centric products, working through full product lifecycle.
  • Open Source/Customer Product Experience: Experience supporting or growing open-source AI platforms and/or direct customer-facing products.
  • Communication: Excellent written and verbal skills to translate technical capabilities into compelling business value for both internal and external audiences.

Preferred

  • Familiarity with cloud platforms (AWS, Azure, GCP).
  • Experience working with PAM/IGA governance initiatives.
  • Experience engaging with open source or technical user communities.

Why work at Delinea?

We're passionate problem-solvers helping the world's largest organizations protect what matters most: their human and machine identities. We invest in people who are smart, self-motivated, and collaborative. What we offer in return is meaningful work, a culture of innovation and great career progression.

At Delinea, our core values are STRONG and guide our behaviors and success:

  • Spirited - We bring energy and passion to everything we do
  • Trust - We act with integrity and deliver on our commitments
  • Respect - We listen, value different perspectives, and work as one team
  • Ownership - We take initiative and follow through
  • Nimble - We adapt quickly in a fast-changing environment
  • Global - We embrace diverse people and ideas to drive better outcomes

We believe weaving these core values into our day-to-day actions, and our process for hiring, evaluating, and promoting employees, helps us cultivate a work environment that embraces collaboration and camaraderie.

We take care of our employees. We offer competitive salaries, a meaningful bonus program, and excellent benefits, including healthcare insurance, as well as pension/retirement matching, comprehensive life insurance, an employee assistance program, time off plans, and paid company holidays.

Delinea is an Equal Opportunity and Affirmative Action employer and prohibits discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Upon conditional offer of employment, candidates are required to complete comprehensive criminal background check, verification of education, and verification of employment, per employment policy. In addition, all publicly posted social media sites may be reviewed.

Key skills/competency

  • AI/ML Product Management
  • Identity Security
  • Cybersecurity
  • IAM/PAM/IGA
  • Large Language Models
  • Multi-Agent Systems
  • Product Roadmap
  • Cross-functional Collaboration
  • Compliance & Governance
  • Enterprise SaaS

Tags:

Senior AI Product Manager
Product roadmap
AI infrastructure
Identity security
Cross-functional collaboration
Market innovation
Compliance
Security standards
Product delivery
Stakeholder alignment
Open source
AI
Machine learning
Large Language Models (LLMs)
Multi-agent systems
Context engineering
MCP
A2A
IAM
PAM
IGA
Cloud platforms

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How to Get Hired at Delinea

  • Research Delinea's culture: Study their mission, values (STRONG), recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Customize your resume: Tailor your experience to highlight AI/ML product management, identity security, and SaaS expertise, using keywords from the job description.
  • Showcase technical acumen: Be prepared to discuss modern AI/ML concepts like LLMs, multi-agent systems, and context engineering with depth.
  • Demonstrate cross-functional leadership: Provide examples of successful collaboration with engineering, data science, and business teams.
  • Highlight security sensibility: Emphasize your understanding of compliance and security best practices relevant to enterprise AI products.

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