דרושים » אבטחת מידע וסייבר » Internal Audit Manager

Seeking a highly motivated IT Internal Audit Manager to join our global Corporate Internal Audit team, focusing on IT Risks, Processes, Controls, and Enterprise AI Governance. The role involves conducting audits and advisory engagements, developing AI solutions for process review, and assessing risks related to AI and IT systems to support the company's rapid transformation.
Key Responsibilities
Lead technology audit and advisory engagements across various domains, including cybersecurity, infrastructure, applications, data management, IT transformation, and AI-related risks while advising on practical ways to strengthen governance, resilience, and risk management.
Drive governance and oversight of technology programs and emerging AI risks, including model governance, data governance and quality, privacy, security, and responsible AI.
Develop and implement audit methodologies to assess risks across the entire AI lifecycle, including model design, validation, explainability (XAI), bias, and the security posture of Generative and Agentic AI systems-while ensuring compliance with emerging regulations, ethical guidelines, and industry best practices.
Drive the integration of AI risk management into existing technology audit domains by providing expert advice on control design.
Promote innovation within the internal audit function by applying new tools and techniques, such as agentic AI, data analytics, and automation.
Collaborate with cross-functional teams, including Privacy, IT, Engineering, Finance and Infosec, to identify and address audit observations with timely corrective actions.
Lead research on technology risks and controls to formulate recommendations for process improvements and innovation.

Required AI IT Centre of Excellence Deploy Lead
Description
Join the company and help scale AI capabilities across the organization. As the AI IT Centre of Excellence (COE) Deploy Lead, you will own the methodologies, standards, and deployment practices that make AI implementation repeatable and reliable across Strauss.
You will act as the professional focal point for AI delivery - working alongside AI experts, data teams, software developers, architects, and business stakeholders to ensure consistent, high-quality delivery of AI initiatives while building organizational knowledge and capability.
Employment model: Israel-based, offshore/outsourcing engagement (not a buy-out).
Key Responsibilities:
Lead the deployment methodology, standards, and best practices of the AI IT Centre of Excellence (COE).
Guide and support development teams in the design, implementation, and adoption of AI solutions.
Serve as the professional focal point for AI delivery frameworks, tools, architectures, and implementation approaches across the organization.
Facilitate collaboration between AI experts, data teams, software development teams, architects, and technology stakeholders.
Provide training, coaching, and ongoing enablement for teams delivering AI initiatives.
Build and maintain AI playbooks, implementation guidelines, reference architectures, templates, and knowledge assets.
Drive consistency, quality, governance, and scalability across AI implementations.
Support project execution, manage dependencies, identify risks, and help teams overcome implementation challenges.
Lead AI knowledge-sharing activities, communities of practice, and professional development programs.

We build software products for clients across embedded, IoT, SaaS, AI/ML, e-commerce, mobile, and web. Were looking for a Senior Software Development Manager to lead the multidisciplinary engineering teams on a major engagement end to end - owning delivery, raising the technical bar, and being the person who steps in when things get hard. Youll manage tech leads and engineers across the stack, partner with product and client stakeholders (including large enterprise and banking environments), and keep a complex program on track. This is a role for a hands-on leader with a strong technical background who can move fluidly between technical, product, and project-level problems and resolve them professionally.
What youll do:
Own end-to-end delivery of a multidisciplinary program - plan, staff, and drive execution against scope, timeline, and quality.
Lead and grow the engineering organization: manage tech leads and engineers across frontend, backend, and QA; hire, mentor, and set standards.
Dive into technical, product, and project-level problems as needed and drive them to professional resolution - youre the escalation point, not a bystander.
Own the software development methodology and delivery cadence, including estimation, sprint planning, risk management, and reporting.
Partner directly with client stakeholders and executives to align on goals, manage expectations, and report progress with clarity and confidence.
Collaborate with architects and product on scope, HLD, and roadmap; translate business goals into a realistic delivery plan.
Track and report delivery health - velocity, quality, risk, and budget - and keep senior stakeholders informed.

A growing B2B SaaS company is looking for an experienced Head of Data Science to lead its Data Science function and drive the next generation of AI and machine learning capabilities.

This is a strategic leadership role combining people management, hands-on problem-solving, cross-functional collaboration, and ownership of data-driven innovation across the organization.

Responsibilities

Lead and mentor a global team of Data Scientists.

Define and execute the company's Data Science strategy.

Drive the development of advanced machine learning, optimization, and forecasting solutions.

Partner closely with Product, Engineering, Customer Success, and executive leadership.

Translate complex business challenges into scalable analytical solutions.

Support customer-facing initiatives and strategic engagements when needed.

Establish best practices for experimentation, model evaluation, and performance measurement.

Act as a key stakeholder in shaping the company's AI vision and roadmap.

Were expanding a fast-growing practice that helps engineering teams leverage AI in their SW development lifecycle and transform into AI-native teams. Weve served dozens of satisfied customers in Israel and abroad and are now hiring a hands-on engineer to lead and drive R&D AI transformation programs, AI tooling adoption & tracking, create resources and run training at scale.
Key Responsibilities:
Own the AI R&D transformation and Agentic SDLC agenda across multiple clients: assessments, KPIs, rollout plans, training, champions programs, skills/agent developments, etc.
Lead AI Coding Tooling optimization end-to-end, plus evaluate/compare adjacent tools (e.g. Claude Code, Cursor, GitHub Copilot, Kiro, etc).
Create training materials (slides, exercises, demos) and deliver workshops; Train teams yourself and mentor trainer bench.
Develop AI infra & tooling, dashboards, frameworks, playbooks and AI resources (skills, agents, hooks, MCPs, etc) for clients to enable transformation, automation and governance
Partner with Sales/Delivery on pre-sales to attract new customers.
Stay on the cutting edge of releases and best practices, turn learnings into repeatable packages.

We are looking for a hands-on Cyber Security Analyst in Petah Tikva to lead our SIEM/SOC operations and drive the implementation of security systems across the organization. This is an implementor-profile role: 30-50% of the time will be spent deploying, integrating, and testing security platforms (20-40 systems in scope), working closely with stakeholders across the company. The analyst combines monitoring, threat detection, and incident response work with end-to-end ownership of security tooling.
Responsibilities:
SIEM/SOC Leadership:
Develop and mature the SIEM/SOC program: build detection rules, use cases, and correlation logic
Lead cyber monitoring operations and incident-response procedures (write and maintain playbooks)
Security Systems Implementation (main focus - 30-50% of the role):
Deploy, integrate, and test security platforms across the organization (20-40 systems)
Manage implementation projects end-to-end with internal stakeholders and vendors
Threat Detection & Automation:
Identify and track relevant cyber threats; analyze organizational impact
Design and define automations as responses to cyber risks (SOAR-style workflows)
Security Controls & Governance:
Define measurement criteria and monitor compliance with information-security policy
Develop and run ongoing security controls
Produce insights from defense, control, and monitoring systems; build tailored dashboards.

Palo Alto Networks is looking for a seasoned SW Engineering Manager to join the Idira R&D platform organization. In this role, you will lead the team responsible for the Idira SaaS micro-frontend (MFE) platform and the critical services that handle API access to Idira services.
You will manage a high-performing team of engineers, combining hands-on technical leadership with strong execution. Your team owns services that are crucial to any customer interaction with Idira services whether it is UI or API access.
Key Responsibilities
Lead and Mentor: Grow a high-performing team of engineers; foster a collaborative environment and support professional development through mentoring and technical guidance.
Own Platform Execution: Drive the development of new features and capabilities that will allow PANW customers to have secure access to our continuously growing portfolio of Cyber Identity solutions.
Drive AI adoption: We started our journey to become an AI first engineering organization. As a leader you will help your team continue this journey.
Engineering Excellence: Maintain a high bar for quality, performance, and scalability. Oversee end-to-end delivery from design and implementation to production monitoring and support.
Stakeholder Management: Communicate progress, risks, and capability roadmaps clearly to management and partner teams. Maintain the capability matrix for Idira integrations.

We are looking for a seasoned SW Engineering Manager to join the Idira R&D platform organization. In this role, you will lead the team responsible for the Idira SaaS micro-frontend (MFE) platform and the critical services that handle API access to Idira services.
You will manage a high-performing team of engineers, combining hands-on technical leadership with strong execution. Your team owns services that are crucial to any customer interaction with Idira services whether it is UI or API access.
Key Responsibilities:
Lead and Mentor: Grow a high-performing team of engineers; foster a collaborative environment and support professional development through mentoring and technical guidance.
Own Platform Execution: Drive the development of new features and capabilities that will allow PANW customers to have secure access to our continuously growing portfolio of Cyber Identity solutions.
Drive AI adoption: We started our journey to become an AI first engineering organization. As a leader you will help your team continue this journey.
Engineering Excellence: Maintain a high bar for quality, performance, and scalability. Oversee end-to-end delivery from design and implementation to production monitoring and support.
Stakeholder Management: Communicate progress, risks, and capability roadmaps clearly to management and partner teams. Maintain the capability matrix for Idira integrations.

KMS Lighthouse is seeking an experienced R&D Director to lead our global engineering organization and drive the execution of our technology strategy. This role is responsible for leading multiple engineering teams through experienced managers, scaling engineering excellence, and ensuring the successful delivery of high-quality, enterprise-grade SaaS solutions. The ideal candidate is a strong people leader with extensive experience managing large-scale engineering organizations in a global environment. They will play a key role in accelerating AI adoption across the engineering organization, embedding AI-driven development practices, and leveraging AI technologies to improve productivity, software quality, and innovation.

Responsibilities:

* Lead and scale the global engineering organization through engineering managers, fostering a high-performance culture.
* Define and execute the engineering strategy in alignment with business and product objectives.
* Drive AI adoption across engineering by integrating AI-powered tools and development practices that improve productivity, software quality, and delivery.
* Develop engineering leaders through coaching, mentorship, succession planning, and organizational growth.
* Partner with Product, Architecture, Customer Success, and Executive Leadership to deliver scalable enterprise SaaS solutions.
* Drive engineering excellence by improving development processes, operational efficiency, quality, and execution.
* Oversee planning, prioritization, resource allocation, and execution across multiple engineering initiatives.
* Stay ahead of emerging technologies and industry trends to ensure continuous innovation.

We are looking for a strong Software Team Leader/Tech Lead, to lead a team of 6-8 developers working on mission-critical operational systems. mPrest is a leading technology company developing advanced mission-critical systems for defense, HLS, and industrial sectors. This is a unique opportunity to take ownership of core operational systems, lead a talented development team, and drive modernization through web technologies and AI-driven development practices.

Responsibilities:

* Lead a team of 6-8 software developers and QA engineers.
* Own development activities end-to-end, including delivery, quality, technical execution, and production support.
* Design, develop, and maintain software solutions using C#/.NET and web/WPF technologies.
* Provide technical leadership, architecture input, code reviews, and troubleshooting support.
* Work closely with customers, product teams, system engineers, QA, and other stakeholders.
* Build and promote an AI-driven development pipeline, including AI-assisted coding, testing, documentation, and code review.
* Improve development processes, engineering standards, automation, and team efficiency.