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Are you passionate about storytelling, social media, and building memorable experiences? Join our Employer Branding team at a leading global tech company and help bring our 2026 employer branding strategy to life. Reporting directly to the Senior Employer Branding Manager, youll gain hands-on experience across social media, content creation, events, and global employer branding campaigns. Along the way, youll have the opportunity to contribute ideas, develop your creative skills, and help shape how top talent experiences our company and culture. This opportunity is ideal for students in Business, Marketing, Communications, or a related field, as well as ambitious content creators who are curious, creative, and eager to make an impact. This is a part-time temporary six-month position, requiring availability for two working days per week from our Raanana office on Mondays and Wednesdays.
How will you make an impact?
Help bring global employer branding campaigns and initiatives to life.
Create engaging content for our social media channels and support day-to-day content planning.
Assist with the planning and production of internal and external events.
Research employer branding trends, talent audiences, and new creative opportunities.
Contribute fresh ideas through brainstorming sessions and creative collaboration.
Support initiatives that strengthen our employer reputation and help us connect with top talent.
* Employment for this role will be through a third-party placement agency.

we are seeking a Senior HR Operations specialist to join our Global HR Operations team in Israel.
This role will play a key role in driving process excellence, operational efficiency, and continuous improvement across Global HR Operations. The successful candidate will partner closely with HR Operations, HRIS, Talent Acquisition, Payroll, and Shared Services teams to identify process improvement opportunities, optimize workflows, strengthen operational governance, improve data quality, and leverage technology to enhance the employee experience and scale HR service delivery globally.
In addition, this individual will support day-to-day employee lifecycle operations, ensuring timely and accurate execution of onboarding, employee changes, mobility, compensation updates, offboarding, and other core HR processes.
The ideal candidate combines strong HR Operations expertise with a solution-oriented mindset, utilizing data, technology, AI and operational insights to simplify processes, eliminate inefficiencies, and drive sustainable improvements across the HR organization.
How will you make an impact?
Process Improvement & Operational Excellence
Analyze HR processes to identify inefficiencies, bottlenecks, service gaps, and recurring issues.
Drive continuous improvement initiatives across employee lifecycle processes.
Create and maintain SOPs, process documentation, governance controls, and operational playbooks.
Conduct root-cause analysis and recommend sustainable solutions to improve operational performance.
Global Employee Lifecycle Management
Manage employee lifecycle transactions including onboarding, job changes, mobility, compensation changes, and offboarding.
Ensure timely and accurate processing of employee data and HR transactions.
Maintain employee records and documentation in compliance with company policies and regulatory requirements.
HR Systems & Service Delivery
Partner with HRIS, Payroll, Talent Acquisition, and IT teams to optimize HR workflows and system processes.
Support enhancements within Oracle HCM, ServiceNow, and related HR technologies.
Monitor service delivery metrics and identify opportunities to improve SLA performance and employee experience.
Promote adoption of standardized processes and case management best practices.
Data Governance & Analytics
Maintain high standards of HR data quality and integrity.
Perform audits and data validation activities to identify and resolve discrepancies.
Leverage reporting tools and operational metrics to generate insights and recommendations for HR leadership.

The Procurement Operations & Excellence Lead is responsible for driving operational maturity across the global procurement & operations organization. This role owns the strategy, deployment, and continuous improvement of procurement & travel processes, systems, tools, governance, and policies. The role includes the management of team leads across procurement and travel operations and requires strong managerial capabilities to develop, coach, and direct those leaders. It requires a visionary operator with strong project-management and people-leadership skills, the ability to manage complex cross-functional interfaces, and a relentless drive for execution. The role ensures world-class performance, streamlined operations, compliance, and excellent service levels to stakeholders and suppliers.
How will you make an impact?
1. Operational Excellence & Process Leadership
- Design, implement, and optimize end-to-end procurement and corporate travel processes across all categories and regions.
- Diagnose operational gaps and drive continuous improvement initiatives across procurement and travel operations.
- Develop KPIs, dashboards, and performance metrics to monitor efficiency, effectiveness, and traveler experience.
- Standardize operating procedures and methodologies globally across procurement and travel.
- Leverage AI and analytics to identify process bottlenecks, forecast demand, and recommend optimization opportunities.
2. Systems, Tools & Digital Procurement
- Act as product owner for procurement and travel technologies such as ERP, P2P, contract management, intake tools, supplier portals, online booking tools (OBTs), TMC platforms, and expense management systems.
- Define system requirements, manage roadmaps, and lead improvement cycles with IT, TMCs, and vendors.
- Evaluate and deploy AI-powered capabilities, agentic intake, conversational assistants, contract intelligence, spend classification, and predictive analytics, across the procurement and travel stack.
- Train procurement and travel teams on new systems, AI tools, and digital capabilities.
- Ensure data integrity, automation, and seamless platform integration across procurement, travel, and finance systems.
3. Policy, Governance & Compliance
- Maintain procurement and travel policies, guidelines, and internal controls.
- Establish governance frameworks ensuring compliance with legal, audit, duty-of-care, and data-privacy standards.
- Define responsible-AI guardrails for procurement and travel use cases, including data handling, bias, and human-in-the-loop controls.
- Align policies with Finance, Legal, Security, and HR/Mobility teams.
4. Program & Project Management
- Lead cross-functional programs, including procurement and travel system rollouts, AI deployments, and process improvements.
- Track deliverables, timelines, risks, and stakeholder dependencies.
- Drive execution of strategic procurement and travel initiatives, including AI and automation programs.
5. Stakeholder & Service Management
- Serve as the central point for operational escalations and support across procurement and travel.
- Ensure high service levels and traveler experience via structured intake management, AI-assisted triage, and prioritization.
- Promote a culture of efficiency, accountability, and data-driven decision-making across the procurement and travel ecosystem.

In this role, you'll have the autonomy to make critical design and resource allocation decisions that directly impact our products. Working alongside UX leadership peers in the US and India, you'll help shape our global design vision while building organizational excellence in Israel. Your leadership will blend strategic design thinking with thoughtful team development, as you establish processes that enable your organization to thrive at the highest levels of quality and efficiency. This position requires proactive communication, strong relationship-building skills, and a highly collaborative mindset. You will work closely with distributed peers and stakeholders across multiple regions and time zones. A core expectation of this role is schedule flexibility, including regular early-morning and occasional late-evening calls, to effectively partner with global teams and leadership. Success in this position depends on maintaining strong visibility and accessibility across international offices and ensuring consistent alignment regardless of geography.
Strategic Leadership & Decision Making
Influence roadmaps and feature prioritization through collaborative partnerships with product and engineering leadership
Champion design excellence and innovation across the organization
Organizational and Design Excellence
Create an inclusive culture of excellence that attracts and retains diverse design talent
Optimize team allocation and prioritize design work to maximize business impact
Lead cross-functional design reviews and stakeholder alignment sessions
Drive adoption of design systems and best practices across development teams
Ensure accessibility and internationalization standards are met across all products.

we are looking for a Senior Product Manager - AI to lead the definition and hands‑on creation of AI‑native, market‑leading Customer Experience solutions.
In this role, you will own innovative AI capabilities across the company CX platform, shaping how AI understands customer interactions, guides human agents, and automates outcomes at enterprise scale. You will have the opportunity to personally design, prototype, and validate AI‑driven product experiences.
You will be responsible for building the next generation of AI‑powered CX solutions-not just features, but intelligent systems and working prototypes-while maintaining our companys standards for security, governance, and enterprise readiness.
This is a highly hands‑on product role, ideal for a PM who enjoys building, experimenting, and turning ideas into tangible product artifacts quickly
How will you make an impact?
Identifying real market and customer problems through research, data analysis, and direct customer engagement-and rapidly turning insights into working product prototypes
Driving AI‑first product strategy, ensuring that AI is designed as a foundation for outcomes, not just an add‑on feature
Using prototypes as a core decision‑making tool-to explore solutions, de‑risk complexity, and accelerate time‑to‑value
Delivering clear, actionable roadmaps and strategic plans that are grounded in validated product concepts, not assumptions
Championing customer experience excellence through experimentation, iteration, and feedback‑driven improvements
Collaborating in a truly cross‑functional environment, where product, engineering, and data teams work as one
Leading data‑driven decision making, using analytics, experimentation, and model performance insights to guide priorities and trade‑offs
Helping our company stay ahead of the market by bringing innovation, speed, and hands‑on AI fluency into everything we build
If youre excited about building AI products-not just defining them, and want to shape the future of CX with real impact, this is the role for you.

We are looking for a strong AI QA Automation Lead with high technical skills to build methodology, provide vision and direction, and lead quality & automation throughout the organization. This role operates at the intersection of traditional software quality and AI-powered development: owning quality not just for code written by humans, but for systems designed, generated, and executed by AI agents.
How will you make an impact?
Serve as the quality leader for an entire domain, accountable for product quality across human-written, AI-generated, and agent-executed software
Actively track the domains quality tasks, analyze the testing needs, and define QA activities and ownership
Continuously analyze and challenge existing testing coverage
Plan, develop, and execute test strategy across our Cloud Analytics platform , extending to AI-powered and agentic system components
Review and approve tests cases and complex system scenarios
Prepare and present data-driven quality insights, KPIs, risks, and trends to leadership through regular domain level reporting.
Lead domain-level RCA reviews for customer-facing bugs and major incidents; detect trends and drive systemic improvements.
Own post-deployment quality monitoring, drive sanity completion and rapid triage of production issues within the domain.
Lead Quality assurance efforts that align with product objectives to ship products rapidly and with confidence
Help the teams design the performance, concurrency and latency test scenarios and metrics
Lead risk-based test strategy with product and engineering - define acceptance criteria and quality gates that support high delivery velocity without sacrificing customer-impacting quality
Implement and evolve QA processes to get effective test signals and scale testing efforts across our services
Define acceptance criteria for non-deterministic systems using golden-set evaluation, behavioral contracts, and statistical confidence thresholds
Define adversarial and edge-case testing methodologies for AI features: prompt injection resistance, boundary condition handling, and graceful degradation
Partner with engineering and DevOps teams to leverage automation for scalable solutions to prevent regressions and ensure reliability of product
Track and improve CI/CD pipeline health across environments - expanding automation coverage, hardening test stability, and ensuring every environment produces trustworthy test signals.
Plan and lead NFR testing
Define guidelines and best practices for our automation and manual testing procedures
Coordinate cross-organization/cross-region testing activities.

The Director of Engineering - Performance Management at our company is responsible for leading and
managing the engineering teams that design, build, and maintain the companys PM product. This role ensures the delivery of high-quality, scalable, and reliable solution
that support our companys customers
How will you make an impact?
Lead the PM engineering organization, ensuring alignment with company
goals
Oversee the design, development, testing, and deployment of PM
micro services
Manage resource planning, delivery milestones, and overall product quality
Ensure system capacity planning and operational support for the PM
Establish and enforce development standards, tools, and methodologies
Integrate customer and business requirements into engineering efforts
Stay current with AI and Agentic technologies such as reasoning models, LLM, SLM, AI SDLC, Agentic coding and agents orchestration
Manage global distributed team across multiple sites
Recruit, develop, and retain top engineering talent.

We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.

We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.

We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.

We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.

The Senior Agentic Systems Engineer is a hands-on engineer who designs, builds, and operates AI-powered tools and workflows for engineering teams.
Were looking for builders who are not only users of AI tools, but can design autonomous agentic systems, optimize model usage, create reusable agents and workflows, and orchestrate complex multi-step work across multiple tools and agents.
Youll be a one-person-army builder: able to understand a problem, define the approach, build the backend, create a simple UI when needed, integrate APIs, connect agents, automate workflows, and deliver working tools quickly.
How will you make an impact?
Build centralized AI-powered tools for engineering teams.
Create and maintain agents, skills, hooks, MCP servers, plugins, and workflow automation.
Design autonomous agentic systems for internal engineering use cases.
Build multi-step AI workflows across code, documentation, Jira, GitHub, CI/CD, and internal systems.
Build tools for PR review support, test generation, documentation updates, spec creation, codebase understanding, and developer productivity.
Learn from local teams and convert successful solutions into reusable centralized assets.
Integrate AI tools with GitHub, Jira, Confluence, CI/CD, internal portals, and engineering systems.
Optimize AI workflows for cost, latency, quality, and reliability.
Apply token economy thinking when designing agents, prompts, MCP usage, RAG flows, and tool integrations.
Contribute to the internal AI marketplace and reusable asset catalog.
Work directly with engineering teams, collect feedback, and iterate quickly.