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We are looking for an exceptional Product Leader to define and lead the product strategy for Core AI Platform-the AI operating layer enabling trusted, scalable AI across Product, Engineering, and Business.
This is one of the company's most strategic product leadership roles. Partnering closely with leaders across Product, Engineering, Data, Architecture, Security, and Business, you will define the platform strategy, lead the first generation of AI-native solutions, and establish reusable patterns that accelerate AI adoption across the company.
You will also shape how leverages the rapidly evolving AI ecosystem-making strategic build, buy, partner, and integrate decisions to combine differentiated internal capabilities with best-in-class external technologies into a trusted, enterprise-grade AI platform.
The Core AI Platform enables three strategic outcomes: transforming how products are built, enabling every business function to redesign and automate workflows through AI, creating agentic customer experiences across products.

we are looking for a Senior Product Manager .
The PM on an AI-native team is a business owner in the fullest sense. They own the problem space, the customer, the data, the roadmap, the communication, and the outcome.
AI tools remove the operational overhead that previously prevented PMs from operating at this level.
This is a demanding profile. The PM needs to be experienced enough to exercise judgment under ambiguity, commercially minded enough to connect product decisions directly to business outcomes, and technically literate enough to work alongside engineers without becoming a bottleneck.
The three things that matter most: judgment, bias for action, and creativity. AI fluency is table stakes.
What youll do:
Own the full product lifecycle for your area - discovery, definition, delivery, and post-launch learning - end-to-end, without waiting for handoffs.
Develop deep customer understanding. Spend real time with users. Bring customer insight into every prioritization decision.
Run and interpret your own data - Define goals and KPIs, monitor and measures impact, and make decisions based on evidence youve constructed yourself.
Define and manage experiments with statistical rigor. Own the hypothesis, the design, and the interpretation of results.
Orchestrate AI agents and tools to accelerate research, synthesis, and execution. Use them to eliminate low-value work, not to replace thinking.
Communicate decisions clearly and proactively. Stakeholders should always know what the team is doing and why - without needing to ask.
Be a part of a learning organization. Share what you and your team learn across the organization. Treat cross-pollination as a core part of the job.
Operate in a high autonomy environment. Work with a high sense of ownership. Know when to move independently and when to bring others in.

We are looking for an engineer who can take ownership of a solution from understanding the business problem through production delivery and continuous improvement.
AI-assisted development tools are a core part of how you work. You use them daily, critically, and effectively to improve the quality and speed of software delivery.
You will report to a Domain Architect and work closely with senior engineering, product, and business leaders on AI initiatives and other high-impact challenges.
You will contribute across the full lifecycle: problem definition, solution design, implementation, evaluation, deployment, monitoring, and production support.
What youll do:
Own the full loop - understand the problem, define the solution, architect it, ship it, monitor it. No one hands you a spec
Build with AI as your primary tool - Claude Code, Cursor, whatever gives the most leverage; do in a day what used to take a team a week
Co-design with stakeholders and the business - decision logic, risk thresholds, success metrics
Build the evaluation harness before you ship - if you cant measure it, its not done
Own production from day one - monitoring, alerting, observability; youre on call for what you build
Raise the bar - in design reviews, in code, and in how the team works

we are looking for a Staff Engineer.
As a Staff Software Engineer on the Modernization Team, you will tackle the deepest, most systemic architectural challenges in platform owning end-to-end migrations, building shared infrastructure, and creating the tooling that enables every product team to move faster and more safely.
The Modernization Team operates with a native agentic mindset this is not an add-on or an experiment; it is core to how we build. We apply AI-assisted development across every phase of our work: automated code generation, AI-driven migration scripts, intelligent test generation, code review, and documentation. Our goal is not just to write code faster it is to build tooling that multiplies the output of every engineer working on modernization challenges.

Were looking for a Team Leader who is a tech-enthusiast with a drive for excellence, and an out-of-the-box mindset to satisfy business needs in a complex payment solution environment.
What youll do:
Collaborate closely with Product, Design/UX, DevOps, and other R&D teams
Lead an autonomous team of software engineers who are working closely with product management for achieving business goals
Put special focus on developing the team
Provide technical authority to your team by demonstrating a hands-on leadership style
Be responsible for the overall design, development, architecture, code quality, and production environment deployment of your team

we are looking for a Team Lead R&D, Modernization, AI.
What youll do:
The Modernization Team mandate is to identify and solve the deepest, most systemic architectural challenges in the platform - problems that are too strategic and cross-cutting for any single product team to own, yet too impactful to leave unresolved.
It is not a feature team. You do not own a single service or product surface. Instead, the team operates as a platform-level force multiplier: it takes on the hardest problems, build shared solutions and tooling, and enable every product team at Payoneer to move faster and more safely. You will lead the full cycle from the discovery, design, building, and validating solutions, unblocking critical initiatives, and setting technical direction that other teams can confidently adopt.
This is a brand-new team being built from the ground up. You will have an outsized opportunity to shape how we work, what we prioritize, and the engineering culture we create together.

we are looking for a Team Lead R&D, Pricing & Packaging.
As an R&D Team Leader in the Pricing & Packaging R&D crew, youll be a key contributor to designing and building our monetization platform - pricing and packaging engines that drive the core business model of our payments platform. Youll own complex features end to end, influence architecture and standards, mentor your team members, and help shape how we design, build, deploy, and operate services in AWS. This is a hands-on senior role with significant impact and room to lead technical changes.
What youll do:
Collaborate closely with Product, Design/UX, DevOps, and other R&D teams
Lead an autonomous team of software engineers who are working closely with product management for achieving business goals
Put special focus on developing the team
Provide technical authority to your team by demonstrating a hands-on leadership style
Be responsible for the overall design, development, architecture, code quality, and production environment deployment of your team

we are looking for a Team Manager - Chargebacks & Payment Disputes.
What You'll Do:
Lead and develop a global team across three hubs and multiple time zones, driving collaboration and accountability.
Oversee team capacity, priorities, and service delivery to ensure execution aligns with business objectives.
Maintain and improve dispute management processes, policies, and controls across card payments, ACH debit, and other payment methods.
Manage relationships with banks, payment providers, customers, and external vendors, including their operational and risk teams.
Partner with Risk, Compliance, Reconciliation, Business, Product, and Customer Care on investigations and dispute resolution.
Lead process improvement, automation, and optimization initiatives to boost efficiency and reduce risk.
Own team performance across quantitative metrics (productivity, recovery rates, backlog, SLAs) and qualitative metrics (accuracy, compliance, audit readiness).
Use operational reports and data analysis to identify trends, risks, and opportunities for improvement.

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.

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.

We are looking for a talented software engineer with a passion for security to help build innovative edge-to-cloud security solutions for our next-generation devices and platforms.

You will contribute to and lead the development of core product features, from understanding system and product requirements and defining feature behavior, through architecture, design, and implementation, to delivering high-quality, secure services and endpoint components.

You will work across the stack, spanning firmware, hardware, operating systems, and cloud-connected security solutions, helping build the trusted security foundations of next-generation devices. You will collaborate with silicon partners, security experts, and engineering teams across us to deliver innovative, end-to-end security capabilities. The role offers significant technical ownership, opportunities to drive innovation, and continuous growth at every stage of your career.

AI is a core part of how we engineer. Our team has broad access to advanced AI capabilities, including unrestricted usage with no token limits, enabling engineers to fully integrate AI into their daily workflow. We actively use AI to accelerate design, coding, debugging, security research, testing, and documentation. We also empower engineers to go beyond personal productivity by building AI-powered tools and agents that improve how the entire team works and delivers value.

Join us in pushing the boundaries of security engineering. From silicon and firmware to operating systems and cloud-connected services, you'll help build trusted foundations that secure our future devices and experiences on a global scale.


Responsibilities

Partner with product, system, cloud, firmware, hardware, and security engineering teams to design and deliver innovative security solutions.

Contribute to and lead the design, implementation, integration, testing, and delivery of core security features spanning firmware, operating systems, endpoint software, and cloud-connected services.

Develop and integrate secure, reliable, scalable, and maintainable software and services using industry best practices and our high security and engineering standards.

Apply secure engineering practices, including threat modeling, secure design reviews, code reviews, mitigation planning, vulnerability response, and security validation.

Define technical requirements, architecture, dependencies, engineering priorities, and delivery plans in a complex cross-team environment.

Work closely with hardware, firmware, operating system, Windows internals, cloud, and security engineers to characterize solutions, define interfaces, and optimize security, reliability, and performance.

Drive features from inception through production, including quality, observability, deployment, monitoring, incident readiness, and continuous improvement.

Leverage advanced AI capabilities to accelerate engineering workflows and build AI-powered tools and agents that improve team productivity and product quality.

Continuously learn emerging security technologies and attack techniques, share knowledge with the team, and mentor peers as your experience grows.

We are seeking a security researcher, who enjoys unraveling the mysteries and unique patterns of corporate computing environments and attackers techniques in our enormous scale of signals and security mechanisms.

The job includes performing both low level and high-level research of attackers techniques, security mechanisms and controls, and data analysis over various types of telemetries.

Responsibilities include:
Conduct in-depth analysis and research security controls, attackers techniques and anomalous patterns.
Explore massive amounts of data to come up with new security posture insights.
Build and evaluate AI-for-Research-Productivity and AI-in-Production agentic workflows.
Work together with the different engineering teams to develop the code to support the research findings.
Collaborate with multiple product teams to design cutting-edge sensors, implement discovery & detection logics and validate their effectiveness using a data-driven approach.
Collaborate with product, engineering and research teams across the Microsoft threat protection suite to come up and implement innovative ideas into the product.

We are currently hiring for multiple Security Research positions across our Microsoft Defender Research teams in Israel. By applying to this unified pipeline, you will be considered for a high-impact role (at either the Security Researcher II or Senior Security Researcher role) within one of our specialized groups, including Autonomous Attack Disruption, Cloud Workload Protection, Identity Research, Posture Research, or Security for AI.

We are looking for passionate, highly skilled security researchers who thrive on the challenge of breaking complex attacker kill-chains. Leveraging Microsofts dominant market position and the worlds most massive telemetry set, you will have a direct, tangible impact on the security of the global economy. We are looking for researchers who want to see their findings transformed into production-ready protection, where the ultimate goal is not just to detect threats, but to prevent and stop them in near real-time.

Responsibilities

Investigate real world advanced attacker TTPs to develop high-fidelity protection signals, and robust logic across complex kill-chains.

Design and implement innovative capabilities that autonomously prevent, detect and disrupt sophisticated threats in near real-time.

Infuse deep security expertise into the analysis of massive telemetry sets using big-data query languages, reasoning over data to identify novel malicious patterns, and drive evidence-based research decisions.

Partner with engineering and product teams to share research insights, validate protection concepts, and push ideas forward into production-ready protection at a global scale.

Contribute expert insights to a strategic feedback loop by analyzing real-world attack data and telemetry to refine protection coverage and accuracy.

The WSSI (Windows Silicon System Integration) team is looking for an experienced Silicon Design Verification Team Lead to lead verification for complex silicon subsystems that are part of advanced solutions delivered in Windows client products.

This is an opportunity for an excellent DV leader to combine people leadership with meaningful hands-on technical contribution. You will lead a silicon engineering team that includes design verification, silicon design, and physical design engineers, while serving as the technical anchor for the team's verification strategy, execution, and quality.

The team works on complex security-oriented silicon subsystems that require rigorous pre-silicon verification and close collaboration with architecture, design, firmware, system engineering, and physical design partners to deliver robust silicon quality.

We are looking for a leader who is passionate about building excellent teams, driving rigorous execution, contributing hands-on to complex verification challenges, and continuously improving verification methodologies - including applying modern AI-assisted techniques to improve productivity, debug efficiency, and verification quality.

Responsibilities
Lead, grow, and mentor a silicon engineering team that includes design verification, silicon design, and physical design engineers, while fostering a culture of technical excellence, ownership, collaboration, and continuous learning.
Own and drive the verification strategy for complex silicon subsystems from planning through execution, closure, and emulation readiness.
Provide substantial hands-on technical contribution and leadership in verification planning, testbench architecture, debug, coverage analysis, regression quality, and verification closure.
Build and promote modern verification workflows, including AI-assisted techniques that improve verification environment development, automation, debug efficiency, coverage analysis, and execution quality.
Define verification plans, quality metrics, regression strategy, coverage goals, and emulation readiness plans aligned with project milestones.
Collaborate closely with architecture, design, system engineering, firmware, and physical design partners to identify risks early, resolve complex issues, and deliver high-quality silicon subsystems.