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If digital and product analytics are your world, but you're looking to expand your understanding of the technical side of data and take ownership of how data works behind the scenes, this role is for you. As a Technical Digital Analyst at  technology company, you'll move beyond traditional analytics into building data infrastructure, working with cloud technologies, and creating AI-powered solutions that drive real business impact. This is a role for builders. We don't separate analytics from execution. We believe in people who take ownership, build solutions, and work across the full data lifecycle - from raw data to business impact. You'll work with some of Israel's leading brands while gaining hands-on experience with modern data, cloud, and AI technologies at scale.
Responsibilities:
* Investigate user behavior, funnels, and conversion journeys directly from GA4 raw data in BigQuery
* Build scalable data models and semantic layers that support analytics and business reporting
* Design and maintain automated data pipelines, integrating data from APIs and external data sources
* Work with cloud-based data infrastructure, including Cloud Functions, Scheduled Queries, and Pub/Sub
* Develop and implement AI-powered agents and automation solutions on Google infrastructure
* Build business-focused dashboards and reporting solutions in Looker Studio
* Work closely with leading brands to solve business challenges through data

We Are KPMG Israel KPMG Israel is more than a professional services firm, we are a community of people driven by impact. As part of a leading global network, we partner with the most influential organizations to drive large-scale business and technology transformation, combining strategic thinking, innovation, and advanced technologies. Guided by integrity, excellence, and forward thinking, we help organizations navigate complexity and create real change. Our people are at the center, with space to lead, experiment, and grow in a dynamic and collaborative environment that connects personal development with meaningful impact on the future of business and society We are looking for a passionate Elastic Engineer to join a dynamic, data-driven environment. This is a hands-on role focused on building advanced monitoring and cybersecurity solutions, working with large-scale data, and partnering with clients to deliver impactful insights and detection capabilities. Role Responsibilities
* Ongoing operation and maintenance of enterprise Elastic environments.
* Monitoring, alerting, and system management.
* Integration with other cloud and platform services.
* Load and performance testing.
* Design and implementation of Kafka-based ingestion pipelines into Elastic.
* Continuous improvement, stabilization, and optimization of the Elastic platform.

Required PreSales Solution Engineer
Description
About us
Come shape the future of privacy & AI governance.
Were building a new way to make it work - autonomous, continuous, and aligned with how modern businesses actually operate.
About you:
You are a solution-oriented sales professional with expertise in presales, software development, and crafting business solutions. A process-driven builder, you thrive on exploring solution development methodologies to deliver optimal results for clients.
You will:
Operate consultative with prospects and existing customers to define their challenges and opportunities. Map these challenges to the ecosystem by presenting differentiating and sustainable business value.
Full ownership to the success of customer PoC/Pilots through effective management of acceptance criteria and issue escalation/resolution. Run Security Questionnaires with prospects, and master the ability to demo vendor risk assessments.
Educate and become a trusted advisor and challenge assumptions and current status while delivering value to prospects and customers.
Present art of the possible and think outside the box approaches to implement privacy solutions.
Support technical and business discovery activities including workshops, and demonstrations, across multiple opportunities
Work closely with the sales team on account strategy and identifying additional opportunities in existing and new accounts.
Develop and deliver exceptional and engaging company/product presentations and demonstrations.
Work with all technical levels.
Be the technical product expert and advisor for customers and stay up-to-date on the data solutions competitive landscape.
Partner with Product Management and Engineering to provide feedback from the field and represent the customer perspective.
Identify and write internal and external technical collateral, like typical deployment architectures or best practices and industry standards.
Collaborate with the marketing team to generate demos, case studies, blogs, and videos.
Maintain a knowledge hub or repository of best practices, resources, and insights (API docs, code examples).

Required Enterprise Account Executive (TLV)
Description
About us
Come shape the future of privacy & AI governance.
Were building a new way to make it work - autonomous, continuous, and aligned with how modern businesses actually operate.
About you:
You are an ambitious, data-driven Individual Contributor (IC) with a proven track record of navigating complex, mid-market to enterprise B2B sales cycles within a fast-paced startup ecosystem. You possess a high EQ, a hunger for continuous learning, and a consultative sales approach that allows you to easily connect with C-suite and senior compliance executives.
You will:
Drive Revenue: Own the entire end-to-end enterprise sales cycle, from aggressive prospecting, cold outreach, and networking to managing complex negotiations and closing high-value deals.
Cultivate Relationships: Build and maintain lasting partnerships with senior executives by deeply understanding their privacy pain points and mapping them to our solutions.
Leverage Insights: Apply a data-driven, KPI-focused approach to analyze territory trends, identify growth opportunities, and forecast accurately.
Collaborate Cross-Functionally: Coordinate internal technical and legal resources to expedite complex sales workflows and ensure seamless customer onboarding.
Represent the Brand: Participate in internal strategy brainstorming, client workshops, and industry events, actively illustrating the business value of proactive data governance.

Required Post Sales Solution Engineer
Description
We are building the future of data privacy. Were an AI-powered privacy and security platform helping hundreds of organizations scale their compliance programs, reduce risk, and move faster with confidence.
We've been ranked 4th on the of the best startups to work for! Duns 100 Rankings. Our customers range from big startups to some of the most famous brands in the world. We are headquartered in Tel Aviv, voted numerous times as the best place to work at, and were a Series B company backed by Googles AI Fund, Battery Ventures, PayPal Ventures, and more. With over $40M in funding, were growing fast, leading the market in customer satisfaction, and helping privacy, security, and legal teams turn compliance into a competitive advantage.
You will:
You are a solution-oriented professional with expertise in post-sales, software development, and crafting business solutions. A process-driven builder, you thrive on exploring solution development methodologies to deliver optimal results for clients
Responsibilities:
Support the Sales team with technical content and call support.
Work with prospects during technical POCs to achieve success.
Design and implement privacy solutions to automate the real-world customer pains.
Maintain a knowledge hub or repository of best practices, resources, and insights (API docs, code examples)
Collaborate with the marketing team to generate demos, case studies, blogs, and videos.
Customer Success Orientation:
Proactive approach to identifying opportunities to deliver value to other customers
Ability to explain complex technical concepts to non-technical audiance.

Required Senior Software Engineer
What Senior Software Engineers do:
In this key engineering role in one of our multidisciplinary product teams, you will take end-to-end ownership of the engineering discipline and tasks that will bring the most impact and joy to millions of learners. All this while quickly learning and adapting to do whatever it takes to solve the unsolvable.

Required Senior AI Research Engineer
What Senior AI Research Engineers do:
Senior AI Research Engineers develop algorithmic solutions that power new innovative features and continuously improve existing ones, with a strong emphasis on training AI / ML models as a core part of the role. The work spans a wide range of domains - from training generative AI and LLM-based models to create musical content at scale, through building deep learning computer vision models that enhance user drawings, to developing real-time audio ML models for music transcription that elevate feedback.
You will take full end-to-end ownership of cutting-edge algorithms and AI models - leading the process from ideation and research, through development, to production-grade implementation and engineering within our products. This includes not only designing and building AI models, but also ensuring robust, efficient, and scalable integration into the app - directly shaping the experience of millions of users.

You will be part of the DevEx team which is in charge of significantly improving the productivity, efficiency, and satisfaction of developers across the organization. You will take a leading role in the team, build easy-to-use platforms, lead wide-impact projects, mentor team members, developers and keep innovating with new tools, workflows, deep dives and adHoc POCs. This role requires a blend of deep hands-on technical expertise, strategic vision and mentoring skills to drive the team to excellence in a culture of developer-centric workplace.



Key Responsibilities:

Lead Initiatives: Own the design and delivery of high-impact developer platforms, CI/CD evolution, AI tooling and more, from ideation through production rollout and adoption.
Drive Excellence: Set a high bar for system design, code quality, scalability, and reliability across platforms. Act as the go-to expert for complex technical challenges.
Hands-on: Design and build scalable, self-service developer platforms, with strong focus on usability, performance, observability and cost efficiency.
Mentorship and Guidance: Mentor engineers through design reviews, pair programming and knowledge sharing. Elevate the technical capabilities of the team.
Cross-Team Focal Point: Collaborate closely with stakeholders and infra teams to influence architecture, improve client experience and ensure solutions are widely adopted.
Lead by Example: Demonstrate strong ownership, execution speed and high-quality delivery standards in day-to-day work.

As the Director of AI Enablement, you will be a key executive leader, visionary, and the driving force behind the adoption and integration of cutting-edge AI technologies across Skai. Your mission is to head an engineering and innovation group that keeps the company at the absolute forefront of the AI revolution, systematically leveraging GenAI, automation, and agentic workflows to radically accelerate our organizational velocity and capabilities.

We are looking for an experienced group manager, someone with an entrepreneurial spirit, a bold vision, and the executive leadership skills to drive AI-stack change. Leading a talented group of engineering specialists, you will act as our chief scout and architect for internal AI innovation. You will evaluate emerging AI tools in the market, discover what truly works, listen closely to our employees' workflows, and lead the end-to-end implementation of AI solutions that redefine how Skai operates.

As part of your work you will be responsible for:

Group Leadership & People Management: Direct, mentor, and scale a high-performing group (including pod leads and specialists), fostering innovation and execution excellence.
Drive Skais AI Strategy & Vision: Define the high-level roadmap to embed GenAI and advanced AI tooling into our day-to-day operations and ecosystems.
Entrepreneurial Project Execution: Act as a "builder" - conceptualizing raw ideas into concrete AI projects and pushing them from fast PoCs to full operational deployment. Continuously research global AI tools and autonomous agent frameworks.
Listen to Our Teams & Identify Needs: Partner with internal teams to understand workflows and bottlenecks, turning feedback into actionable AI initiatives that boost efficiency.
Cross-Functional & Matrix Leadership: Drive AI adoption and cultural transformation by building alignment across R&D, Product, Operations, and Business units.

We are looking for a passionate Senior Software Engineer to join our Simulation development team. Our team is growing, and we are looking for hardworking and experienced engineers to take part in building advanced networking simulation solutions. You will be part of a team developing next generation NIC and Switch simulation, works closely with other SW R&D teams and SW Architects.

What you will be doing:

Design and develop advanced features simulating our world class Switches.

Develop solutions using advanced virtualization technology.

Write clean, efficient and maintainable code.

Collaborate with team members, SW R&D, Architects, Chip Design and FW.

We're hiring a Senior/Principal Site Reliability Engineer to own production reliability for Cortex Agentix Endpoint Security (following an acquisition of KOI Start Up) as it scales. You'll define and operate our SLOs and error budgets, lead high-severity incident response, and ensure our Kubernetes and AWS infrastructure stays stable under growth. You'll also build and supervise the AI agents that handle routine alert triage and monitor tuning, focusing your own time on the reliability engineering that requires human judgment. This role is a strong fit for someone who treats reliability as an engineering discipline and enjoys ownership, incident command, and applying AI to operational work.
Your Impact:
Own reliability as an engineering discipline - define SLIs, set SLOs, and run error-budget-based decision-making so "how reliable are we" becomes a number that governs how fast we ship.
Own production incidents end-to-end - lead response, mitigation, and resolution for high-severity incidents, and drive blameless postmortems that feed real fixes back into the system.
Own the reliability and capacity of production infrastructure as we scale - forecasting headroom, validating scaling behavior under load, and keeping latency and error rates within SLO.
Run and evolve Kubernetes environments so releases and infra changes are safe by default across hundreds of tenant apps.
Own, build, and supervise our SRE AI agents that triage alerts, review monitors, resolves and summarize incidents. Set and expand the trust ladder that governs what the agents do autonomously, what needs approval, and what stays human. This is a core part of the role.
Improve observability and incident response - raise signal quality, cut alert noise, and own the monitoring the triage agents depend on.
Eliminate toil - relentlessly identify manual, repetitive operational work and remove it through automation and agents, protecting engineering time for reliability work that only humans can do.
Analyze operational data across incidents, alerts, deployments, infra health, and cost to find reliability gaps, capacity risks, and automation opportunities.
Evaluate and introduce new tools and AI-assisted approaches, balancing innovation with reliability, cost, and operational simplicity.

We are now looking for a Chip Design Engineer to join our Switch Silicon team for Verification / Design roles. As a Chip Design Engineer in our Networking business unit, you'll join a group of passionate engineers to design, implement and verify the next generation state-of-the-art Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!

What You'll Be Doing:

Work in a combined design and verification team which develops some of the switch silicon core units.

Micro-architecture for RTL and simulation environment planning for units and modules.

Design/Verify RTL units/blocks according to Arch. specifications under challenging constraints with high orientation to power, area, and performance.

Build reference models, verify, and simulate chip blocks/entities according to specifications.

RTL synthesis, timing, supporting verification, and silicon post TO activities.

Work closely with multiple teams within organizations such as Architecture, Full chip Micro-Architecture, BE, and FW.

Join our Platform Frontend Engineering team, where innovation meets real-world impact.
Were building core platform foundations for Cortex, enabling other teams to deliver world-class cybersecurity applications at scale.
Our engineers are at the heart of our companys mission - to prevent cyberattacks and make the digital world safer.
Key Responsibilities
Design and develop next-generation, scalable frontend applications on the Cortex platform.
Lead the development of key frontend components, taking ownership from conception through to deployment in a dynamic, agile environment.
Proactively collaborate with UI/UX experts, product managers, and backend engineers to translate complex requirements into visionary cybersecurity products.
Research, design, and implement sophisticated and complex data visualization solutions to make security data understandable and actionable.
Uphold high standards for code quality and architecture through rigorous code reviews, automated testing, and advocating for frontend best practices.
Mentor junior engineers and contribute to a culture of continuous learning and technical excellence within the team.
Analyze and optimize application performance to ensure a responsive and seamless user experience for our customers.

In this role, you will be dedicated to safeguarding our clients data within the dynamic cloud landscape. As an expert in Data Security Posture Management (DSPM) for SaaS and DBaaS, you will develop cutting-edge solutions for data discovery, classification, and protection across platforms like Snowflake, Databricks and MongoDB Atlas. Your work will focus on proactively identifying and eliminating risks, ensuring our clients' sensitive information remains secure, compliant, and accessible only to authorized users, empowering them to grow their business securely.
Key Responsibilities
Drive innovation by designing and implementing impactful solutions that address client needs, contributing to the full feature development lifecycle from design to deployment.
Take ownership of specific feature segments, ensuring high-quality code and robust functionality through meticulous attention to detail and a focus on execution.
Proactively collaborate and exchange information with cross-functional teams, including product and infrastructure, to ensure seamless integration and alignment on shared objectives.
Challenge the status quo by generating innovative ideas and actively participating in brainstorming sessions to foster product and architectural improvements.
Actively engage in technical discussions, openly sharing knowledge and learning from others to solve complex problems and elevate team expertise.
Design and build highly scalable, resilient, and secure cloud-based applications and microservices.
Contribute to an agile and dynamic engineering culture, demonstrating a strong drive and outstanding communication skills to deliver results efficiently.

We are looking for an experienced Sr. Principal Architect to join the XSIAM engineering group in a highly cross-functional, product-facing role. This position sits at the intersection of engineering, product management, customer success, and product architecture, helping shape scalable and innovative solutions across the XSIAM product.
The ideal candidate combines deep technical expertise with strong product thinking, enabling them to translate business and customer needs into clear architectural direction and execution strategies. This role requires close collaboration with engineering teams, product managers, and strategic customers to drive platform capabilities, integrations, scalability, and long-term architectural vision.
Key Responsibilities
Lead architectural design and technical strategy for XSIAM platform capabilities and integrations.
Define best practices, technical standards, and scalable design patterns across the organization.
Work closely with customers, field teams, and support organizations to understand real-world use cases and pain points.
Evaluate tradeoffs between scalability, performance, security, operational complexity, and delivery timelines.
Support strategic customer engagements and complex deployment scenarios.
Mentor engineers and technical leaders on architecture, system design, and product-oriented engineering thinking.
Act as the bridge between engineering, product, and site reliability (SRE) to ensure that architectural designs translate into operational excellence.