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We're looking for a Software Engineer to join our R&D team. In this role, you'll design and build scalable, high-performance systems that bring together rich backend capabilities and intuitive frontend experiences. You'll be part of a mission-driven team, building innovative technologies that enable security teams to detect, analyze, and respond to threats faster than ever before.


WHAT YOU WILL DO
Develop and own end-to-end features across the entire stack, from backend services to frontend interfaces.
Design and implement distributed backend systems that handle massive volumes of security data in real-time.
Build modern, responsive, and accessible user interfaces using React, TypeScript, Remix, Tailwind, and Shadcn.
Architect and maintain robust APIs and data contracts between the frontend and backend.
Collaborate with product, design, and security experts to deliver impactful user facing features.
Ensure high code quality by writing comprehensive unit, integration, and E2E tests using tools like Vitest, Playwright, and React Testing Library, as well as backend testing tools
Optimize system performance, reliability, and scalability on both ends of the stack.
Take part in critical architectural discussions and influence the technical direction of the platform.

We're looking for a Security Researcher to join our team at the intersection of security research, AI, and product. This isn't a traditional research role - you'll be deeply embedded in how the platform is built, working side by side with R&D, Product, and AI teams to make sure security expertise is baked into every layer of what we ship. You'll own detection and analytics research across cloud, identity, endpoint, and beyond, while actively shaping how AI capabilities are applied to solve real security problems at scale.

WHAT YOU WILL DO
Research and develop sophisticated detections and behavioral analytics across multiple security landscapes - cloud, identity, endpoint, network, and application - with a focus on coverage that scales across customer environments.
Work closely with R&D, Product, and AI teams as the security authority - reviewing features, shaping designs, and ensuring security logic is sound, practical, and impactful.
Apply an AI-native approach to detection and analytics challenges - leveraging LLMs, ML signals, and AI-assisted workflows to do things that rule-based approaches can't.
Identify gaps in detection coverage and analytical capabilities, and drive those findings directly into the product roadmap.
Analyze real-world attacker techniques and translate them into detection logic, hunting content, and analytical frameworks that ship as part of the platform.
Evaluate detection quality rigorously - measuring fidelity, coverage, and performance against real attacker behavior and production telemetry.
Stay sharp on the evolving threat landscape and rapidly incorporate new techniques, campaigns, and attacker tooling into our detection library.
Contribute to external research output - blog posts, talks, open-source tooling - that reflects our depth and point of view in the security community.

We're looking for a Data Scientist to join our team. As a Data Scientist, youll be a key member of our AI team, designing, building, and deploying cutting-edge AI systems that leverage large language models (LLMs), unstructured data, and advanced ML techniques. Youll be instrumental in bringing AI from research to real-world production, delivering high-impact features that drive our security platform.

In this role, you'll have a unique opportunity to solve complex problems, work with large scale data and be part of the core team that shapes the future of AI in the company.


WHAT YOU WILL DO
Design and develop end-to-end AI solutions, from data ingestion and modeling to deployment and observability.
Build and fine-tune LLM-based applications to tackle complex cybersecurity challenges.
Own the full ML lifecycle - from ideation and experimentation to production readiness.
Collaborate with product, engineering, and security teams to turn AI research into user-facing features.
Work with large-scale unstructured data (e.g., logs, threat intel, alerts) to extract meaningful insights.
Evaluate and optimize AI system performance, scalability, and reliability.
Contribute to core architectural decisions related to AI and ML infrastructure.

A leading creative technology company empowering creators and brands worldwide with AI tools, high-quality assets, and powerful editing capabilities. Trusted by 30M+ creators and brands like Google, Amazon, and Microsoft. We're looking for a Senior Brand & Marketing Designer to join our Tel Aviv team.
What you'll do:
Shape our brand identity, tone of voice, and visual language Own marketing assets, website visuals, and campaign design end-to-end Collaborate with marketing, product, and content teams to develop creative strategies Drive data -informed design decisions through A/B testing and user insights

Were looking for a talented Data Engineer to join our AI team and build the data foundations that power our AI systems at scale. As a key member of the AI team, youll be responsible for designing, building, and operating the data layer that enables our AI models and agents to perform in production. This includes data ingestion, storage, transformation, monitoring, and defining the data strategy that ensures our AI applications receive high-quality, reliable, and timely data.

Were seeking an ambitious Data Engineer who is passionate about building robust data infrastructure, working with large-scale and complex datasets, and partnering closely with AI engineers and researchers to translate model needs into production-grade data systems.


WHAT YOU WILL DO
Design, build, and operate scalable data pipelines (batch + streaming) that power our AI systems in production.
Own the end-to-end data lifecycle: ingestion, storage, transformation, serving, and continuous improvement.
Build and maintain the data layer from raw data to semantically accessible data that enables AI models and agents to perform reliably at scale.
Ensure high data quality and high-standard operation through monitoring, alerting, and validation checks.
Work with modern storage systems (data lakes, warehouses, relational, graph, and vector databases) to support diverse AI workloads.
Partner closely with AI engineers and researchers to translate model requirements into production-grade data infrastructure.
Define and evolve the data strategy to for AI applications.

We Role Purpose Lead the FP&A function and serve as a trusted business partner to site leadership. The role combines planning, forecasting, performance analysis, workforce economics, product costing and decision support, while leading the teams transformation from reporting-focused activities toward business partnership, process excellence and data -driven decision-making. The position will also support SAP S/4HANA readiness and promote responsible use of AI, automation and digital tools.
Key Responsibilities
Lead the annual budget, forecasts and long-range planning processes, in coordination with business owners and regional and global Finance teams. Analyze actual results against budget and forecast, identify key business drivers, and provide clear insights and actionable recommendations. Lead workforce planning, labor-cost analysis and product costing, including profitability and manufacturing variance analysis. Act as a Finance business partner to site leadership and key functions, challenging assumptions and supporting business decisions. Prepare concise management reporting, KPIs, financial models and business cases for local and global reviews and strategic initiatives. Drive process improvement, SAP S/4HANA readiness, automation and responsible use of AI and digital tools to reduce manual reporting and expand analytical capacity. Strengthen FP&A processes, controls, documentation, data quality and governance.
*  Lead, coach and develop the FP&A team through change, building engagement, ownership, professional capabilities and effective backup coverage.

A global leader in medical-aesthetic technologies, with over 25 years of experience in energy-based devices (EBD). Over the years, we have evolved into an integrated aesthetic and wellness ecosystem that combines medical devices, injectables, diagnostics, and personalized skincare. The company operates in a dynamic, innovation-driven environment, merging advanced technology with deep clinical understanding to create holistic solutions for aesthetic clinics. Our headquarters are in Caesarea, Israel, with business operations in more than 100 countries worldwide. As part of our continued growth and innovation, we are looking for a Systems Engineer to join our multidisciplinary R&D team and play a key role in the development and integration of next-generation aesthetic platforms.
* Take part in defining system and subsystem requirements and maintain traceability from user needs to design inputs.
* Support system integration and bring-up of energy-based platforms and applicators, such as laser and diode modules, RF and ultrasound generators, cooling systems, and Embedded software.
* Contribute to risk management activities, including FMEA and hazard analysis
* Prepare and maintain design control documentation, such as specifications, DHF inputs and ECOs.
* Help prepare systems for safety and regulatory testing, such as IEC 60601 and IEC 60825 laser safety, together with developers, QA and RA.
* Investigate technical issues from production and the field, perform root cause analysis, and support CAPAs.
* Work closely with electrical, mechanical, optical, software, clinical, service, manufacturing and external subcontractor teams

As an AI Researcher, youll be part of the team building the AI systems that power our products. Youll work across research and engineering - from training and post-training state-of-the-art LLMs to applying them to challenging real-world problems such as agentic behavior, coding, and security-related decision-making.

This is a hands-on research role with a strong focus on taking ideas from experimentation to production. Youll have significant ownership and the opportunity to shape both the direction of our AI research and the systems we build around it.

WHAT YOU WILL DO
Train, adapt, and scale state-of-the-art LLMs using techniques such as post-training SFT, knowledge distillation, LoRA, and reinforcement learning.
Develop and evaluate new algorithms and approaches, bridging cutting-edge academic research with production-grade AI systems.
Optimize models for production, balancing quality, latency, throughput, and cost at scale.
Own the AI lifecycle-from algorithmic prototyping and synthetic data generation to evaluation, deployment, and iteration of production AI features.
Work closely with engineering and product teams to translate research advances into impactful AI capabilities.
Lead research initiatives that advance the capabilities of our AI systems.

We're looking for an AI Engineer to join our team. As an AI Engineer, youll be a key member of our AI team, designing, building, and deploying cutting-edge AI systems that leverage large language models (LLMs), unstructured data, and advanced ML techniques. Youll be instrumental in bringing AI from research to real-world production, delivering high-impact features that drive our security platform.

In this role, you'll have a unique opportunity to solve complex problems, work with large scale data and be part of the core team that shapes the future of AI in the company.


WHAT YOU WILL DO
Design and develop end-to-end AI solutions, from data ingestion and modeling to deployment and observability.
Build and fine-tune LLM-based applications to tackle complex cybersecurity challenges.
Own the full ML lifecycle - from ideation and experimentation to production readiness.
Collaborate with product, engineering, and security teams to turn AI research into user-facing features.
Work with large-scale unstructured data (e.g., logs, threat intel, alerts) to extract meaningful insights.
Evaluate and optimize AI system performance, scalability, and reliability.
Contribute to core architectural decisions related to AI and ML infrastructure.