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Every millisecond and every bit per second matter when you're defending the world's largest networks. We're looking for a passionate Performance Engineering Manager to lead our performance lab - an effort that spans both development and testing. This isn't only about finding where the product breaks. It's about making our products faster, leveraging and improving our AI infrastructure, and making both our products and our testing dramatically more efficient and robust.
You'll lead a team of QA and R&D engineers who design and build the tests, run them, dig into the numbers and the product, and turn what they find into concrete optimization work with development. If you love pushing the limits as much as you love finding the bug that's costing you those limits, this is your role.
Key Responsibilities
Lead and grow a team of QA and R&D engineers covering both performance development and performance testing
Set the technical direction for performance testing methodology, standards, and best practices across the lab, spanning both hardware and software projects
Leverage our existing AI infrastructure to make the lab more efficient - faster test cycles, faster analysis, faster answers, and ultimately faster, more optimized products
Go beyond identifying regressions: analyze results and actively propose performance optimizations to development teams
Increase visibility into performance results across R&D and product leadership, with clear, accessible reporting and dashboards
Own the performance strategy for our product lines, from planning and development through execution and reporting
Push traffic generator platforms to their limits to simulate real-world network and application traffic at scale
Partner with R&D, product management, and architecture teams to define what "great performance" means for our customers
Chase down performance bottlenecks at the system, kernel, and network level, and work directly with engineering to fix them
Build and maintain lab infrastructure, tooling, and automation to keep the lab sharp and scalable.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world execution and delivery. You will own the squads delivery and processes reporting directly to the Director of Program Management, collaborate with Engineering, Data Science, Research and Product teams to drive successful execution of squad deliverables.
The Responsibilities:
Lead and manage multiple squads, ensuring efficient workflow and high-quality output
Partner with the Product Manager and R&D Manager to oversee the end-to-end development process for our cybersecurity solutions
Collaborate with the Director of Program Management to align squad goals with overall company objectives
Foster a culture of innovation, continuous improvement, and technical excellence
Mentor and develop team members, providing guidance and support as needed
Implement and optimize agile methodologies to enhance team performance and product delivery

As an Engineering Manager, you will lead a tight-knit, dynamic team of engineers who take pride in high coding standards and modern development practices. You will own one of our impactful, user-facing product areas, making strategic decisions, enhancing workflows, and supporting your team members.

Using technologies such as React, Node.js, AWS, and scalable databases, you will build a unique experience in the world of B2B payments.

Each team member is an all-around player who influences the product from the overall experience to development, and you will be no different. You should be passionate about building a product end-to-end, overseeing the UX, design, coding, testing, and deployment phases.

We are looking for an exceptional Principal Product Manager to help build Core AI Platform-the trusted, scalable AI operating layer enabling Product, Engineering, and Business teams to adopt AI safely and effectively.
Reporting to the Senior Product Director, Core AI Platform, you will take part in translating strategy into concrete roadmaps and capabilities, and partner deeply with Engineering, Data, Architecture, Security, and business stakeholders to deliver reusable AI capabilities across .
This role is ideal for a senior, hands-on product manager, AI savvy, who combines technical depth, exceptional product sense, execution excellence, and the ability to drive adoption across complex organizations.
What you'll do:
The Core AI Platform enables three strategic outcomes: transforming how products are built, enabling every business function to redesign and automate workflows through AI, and creating agentic customer experiences across products.
You are not building isolated AI features for one product. You are building platform capabilities, reusable patterns, and product experiences that help teams across ship trusted AI faster, safer, and at scale.
Own the roadmap for one or more Core AI Platform areas.
Translate ambiguous business and technical needs into clear requirements, milestones, and measurable outcomes.
Define and deliver scalable, secure, compliant platform capabilities across AI infrastructure, orchestration, governance, evaluation, responsible AI, APIs, and reusable services.
Partner hands-on with Engineering, Data, Security, and Architecture to make practical build, buy, partner, and integrate calls in your domain.
Lead AI-native solutions that show how the platform accelerates product development, engineering productivity, and workflow automation.
Turn early solutions into reusable patterns, templates, and components teams can adopt.
Drive and track adoption of the tools and services you will build.

we are looking for a R&D Architect Director.
What youll do:
Drive new technologies and frameworks - extending capacity & effectiveness of teams, capacity & scalability of the product - for both server and client side
Be involved in all key technology and methodological aspects of development and testing
Take an active role and lead key product enhancements, per product-management and stakeholders requirements, and select the right development solutions to address the requirements in terms of functionality, reliability, testability, and scalability
Be involved in business needs and operational flows to come up with the right technology solutions
Mentor and lead R&D teams in design reviews, coding standards, and architectural designs
Drive AI adoption across R&D - both as a development accelerator (coding tools, agents, MCPs) and as a capability embedded in the product

The WSSI (Windows Silicon System Integration) team is looking for an experienced Data Science Manager to lead a team developing production-oriented AI solutions across computer vision and efficient small language models, helping bring advanced models to Windows products under real-world edge-device constraints.

This role offers a meaningful leadership opportunity: managing a diverse team that includes researchers, MLOps engineers, and data management experts, while shaping the teams technical direction and influencing product directions in close partnership with product and system engineering teams, all within a culture that values inclusion, collaboration, continuous learning, and individual growth.

The teams primary focus is developing state-of-the-art computer vision solutions that can run efficiently under real-world edge-device constraints, including model size, latency, power, and deployment efficiency. In parallel, the team explores similar optimization opportunities for SLMs, enabling advanced AI models to run more efficiently across Windows products.

In this role, you will help turn applied research into production-quality AI experiences, collaborate closely with product, system engineering, software, and silicon teams, and create impact for millions of customers.

Responsibilities

Lead, grow, and develop a diverse data science team that includes researchers, MLOps engineers, and data management experts, while fostering a culture of technical excellence, collaboration, ownership, and continuous learning.

Define and drive the teams technical roadmap in close partnership with product and system engineering teams.

Guide the development of production-oriented AI solutions from research exploration through production deployment, with a strong focus on quality, scalability, reliability, and measurable customer impact.

Drive model efficiency and deployment readiness for constrained environments, ensuring AI solutions meet real-world requirements for performance, latency, footprint, and resource usage.

Mentor team members, create clarity, set priorities, and help the team deliver high-impact results in a dynamic and evolving environment.

Required Software Engineering Manager, Cloud TPU
Tel Aviv, Israel
About the job
Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Build, mentor, and inspire a software engineering team. Cultivate a culture of high performance, innovation, psychological safety, and deliberate career development where every engineer grows.
Shape the technical strategy and multi-year product roadmap, seamlessly aligning team objectives with the broader Cloud goal and our pioneering AI-first initiative.
Drive engineering velocity across the entire project lifecycle, ensuring the predictable, high-quality delivery of scalable features.
Drive deep technical decision-making for our infrastructure components, fostering a culture of code reviews, scalable architecture design, AI-first and data-driven development, while mentoring engineers.
Advocate an unyielding customer-first mindset, establishing standards for service reliability, performance, and operational excellence, transforming complex customer requirements into technical realities, and maintaining a healthy production.

As an Engineering Manager for the Identity SSO team, you will lead a full-stack team to build and expand our unified Identity platform to an enterprise scale. Your role is crucial in executing our mission to connect our solution to any application, leveraging no-code, low-code, and AI-based solutions. In collaboration with security architects, product managers, and cross-functional teams, you will produce complex SaaS services that meet demanding scalability and security standards.
Your Impact:
Lead, mentor, and build a high-performing, full-stack engineering team, fostering a culture of creativity, execution, and high code quality.
Drive engineering excellence through code reviews, design discussions, and active coaching to uplevel engineers across the team.
Oversee the design and execution of scalable connectors for SaaS, on-premise, and custom applications.
Spearhead research into modern cybersecurity mechanisms and evaluate emerging tech stacks to solve complex platform bottlenecks.
Explore AI-driven approaches to improve testing efficiency and engineering productivity.

We are seeking an experienced, people oriented Engineering Manager to lead our high-performing Identity Directory Service and User Management engineering team. In this role, you will balance technical leadership, people development, and operational execution to deliver secure, scalable, and resilient SaaS cloud services.
Working in close partnership with Product Management, Security Architects, and cross-functional engineering leaders, you will foster a culture of continuous delivery, technical excellence, and innovation. You will empower a team of talented engineers, remove roadblocks, and ensure our systems satisfy demanding global scale, high throughput, and Non-Functional Requirements (NFRs).
Your Impact
Execution & Product Delivery: Drive agile engineering practices to deliver high-quality, production-ready features on schedule while maintaining a strong balance between feature delivery, platform health, and technical debt.
Technical & Architectural Oversight: Partner with domain experts to guide architectural decisions, review designs, leveraging no-code, low-code, and AI-based solutions.
Operational Excellence: Maintain high standards for service reliability, production health, automated testing (CI/CD), and incident response.
People Leadership & Growth: Mentor, coach, and grow a high-performing team of software engineers; conduct 1:1s, support career development, and foster an inclusive, high-trust engineering culture.
Cross-Functional Collaboration: Align team goals with Product Managers, Security Architects, and global stakeholders to translate business strategy into clear technical execution plans.

We are looking for an experienced Engineering Escalation Manager to join our team and serve as a key bridge between Engineering, Support, Product, Customer Success, and Sales. In this role, you will drive strategic initiatives, improve operational excellence, and ensure we deliver an exceptional customer experience at scale.
Key Responsibilities
Become a subject matter expert in customer challenges within the IAM domain, driving alignment across Support, Sales, Customer Success, Product, and Engineering to improve collaboration and accelerate resolution of critical issues.
Partner with Engineering and Support Engineering teams on strategic, global initiatives that improve scalability, efficiency, and customer outcomes.
Collaborate with cross-functional leaders to identify operational gaps, implement improvements, and establish best practices that enhance customer experience.
Own and continuously improve escalation processes, ensuring high-impact customer issues are effectively managed, resolved, and transformed into actionable product insights.
Build and optimize feedback loops between customers, support teams, and engineering teams to ensure customer insights influence product strategy and roadmap decisions.
Leverage data and operational insights to identify trends, improve team performance, and drive continuous improvements in product adoption and customer satisfaction.

We are looking for an experienced and strategic Group Manager to lead our Directory Services group within the Identity organization. In this key leadership position, you will manage and inspire engineering teams spread across multiple geographies, driving one of the foundational, mission-critical services of our Identity platform. Directory Services sits at the heart of our security and identity ecosystem, serving as the high-scale foundation for user authentication, enterprise directory integration, and data sync across enterprise environments. As a manager of managers, you will be responsible for defining the technical and operational vision, scaling high-availability distributed systems, nurturing talent across global offices, and ensuring our identity infrastructure meets the rigorous security and reliability demands of enterprise customers worldwide.
Key Responsibilities
Multi-Geo People & Organizational Leadership: Lead, mentor, and grow team managers and senior technical leaders across global geographies. Scale the group through strategic recruitment, team structuring, and proactive talent development.
Service Vision & Strategy: Own the vision, engineering execution, and strategic roadmap for Directory Services-one of Identitys key foundational pillars.
Scale, Reliability & Security: Ensure ultra-high availability, low-latency performance, seamless scalability and robust security standards.
Cross-Organizational Collaboration: Partner closely with Product Management, Security Architects and multiple R&D units.
Rapid & Critical Incident Response: Lead cross-regional response to high-priority operational or security events related to directory environments, driving rapid resolution and long-term systemic mitigations.
Thought Leadership in IAM: Stay at the forefront of modern Identity & Access Management (IAM) practices and enterprise directory protocols.

Who We’re Looking For – The Team Lead & Architect Chargeflow is at the forefront of fintech and AI innovation. Our mission is to build a fraud-free global commerce ecosystem by leveraging cutting-edge technology—freeing online businesses to focus on their core ideas and growth. We’re looking for an experienced, hands-on AI Software Engineer Squad Lead to lead the team building the AI agents, intelligent workflows, and decision-making systems powering Chargeflow’s products. This role combines technical and architectural leadership with people leadership . You’ll lead engineers, build alongside them, and own production systems that must operate reliably, securely, and at scale.
This Is Not Your Typical Leadership Role If you’re looking to manage tasks, run standups, and stay above the code—this position probably isn’t for you. But if you want to build AI systems, shape engineers, and redefine how software teams operate in the age of AI—keep reading.
What We’re Actually Building At Chargeflow, we’re building systems that don’t just process data—they understand context, make decisions, and take action. Real-time. At scale. Under uncertainty. Our AI Platform brings together models, data, tools, business logic, and intelligent workflows to solve complex problems across the chargeback and fraud lifecycle. This isn’t a pure infrastructure or AI research role—and it isn’t about building impressive demos. It’s about turning rapidly evolving AI capabilities into reliable, production-grade products with measurable business impact.
What You’ll Actually Do
* Lead a team of strong software engineers—and build alongside them
* Own the architecture and evolution of Chargeflow’s AI Platform
* Build production-grade AI agents, intelligent workflows, and decision-making systems
* Combine LLMs with business logic, data, tools, and deterministic software
* Own AI systems across their lifecycle—from design and implementation to deployment, evaluation, and continuous improvement
* Make architectural trade-offs across accuracy, latency, scalability, reliability, security, and cost
* Turn ambiguous product and business problems into clear technical direction
* Raise the bar for code quality, system design, and engineering execution
* Help strong engineers become exceptional

We are looking for a SW Engineering Manager to manage and mentor a team of engineers developing AI-based Agents. In this role, you will combine hands-on technical leadership with strong execution, ensuring high-quality delivery across multiple agent projects. You will drive development processes, maintain clear communication with stakeholders, and support the team through the full lifecycle of agent development, from design to production and beyond.
Lead, mentor and grow a team of AI-agent developers; foster a collaborative and a high-performance environment.
Own team execution: sprint planning, priorities, delivery commitments, and production support.
Oversee end-to-end development of AI agents: design, implementation, integration, deployment, monitoring and continuous improvement.
Maintain a clear capability matrix and roadmap across multiple agents and integrations.
Communicate progress, risks, and status updates clearly to product, management, and cross-functional teams.
Provide hands-on technical leadership: review code, support architectural decisions, and uphold engineering best practices.

Be a key part in the Palo Alto Networks EPM Agents group, owners of a combined solution for application control, privilege management, and threat detection. We are searching for a Team Manager to lead Cross-Platform Agents Infrastructure team in an agile-oriented environment. leading the journey to design, develop and innovate our EPM Agents.
The responsibilities will include:
Producing valuable and qualitative deliverables for our customers in a timely fashion
Providing technical authority to your team by demonstrating a hands-on leadership style
Hiring, mentoring and driving the professional growth of the team members
Overseeing the overall development, code quality, and production of the team
Permanent strive to keep the code up-to-date and at the highest quality, innovation and security levels
Working hand-in-hand with architects, product owners, and other teams to build robust solutions.

As an Engineering Manager at Cortex Cloud, you will lead a team of ~6 engineers operating in one of our most complex and cross-functional domains. This role requires a strong blend of people leadership and deep technical expertise, including systems design and large-scale distributed cloud architectures. You will be responsible for driving the design and delivery of complex, high-impact systems, while ensuring the team executes against the roadmap with both speed and engineering rigor.
Key Responsibilities
Build, mentor, and lead a high-performing software engineering team, fostering a culture of empowerment and driving both individual growth and collective impact.
Partner closely with Product Management and cross-functional teams (Infrastructure, Research, UX) to define priorities and shape multi-quarter product roadmaps, ensuring alignment across all stakeholders.
Own the end-to-end software development lifecycle, translating product strategy into executable plans and ensuring consistent, high-quality, on-time delivery.
Provide architectural leadership for scalable, distributed systems operating at petabyte scale, guiding the design and implementation of high-throughput, cloud-native backend microservices.
Drive production readiness by enforcing best practices around deployment, observability, reliability, and runtime stability, focusing on the details to ensure operational excellence.
Align stakeholders across business units through clear communication of technical strategy, trade-offs, priorities, risks, and execution plans.
Engage directly with strategic customers to lead technical deep dives and architecture reviews, and to influence future product direction.
Foster a culture of high engineering standards, accountability, and continuous improvement, with a strong emphasis on quality and security.