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At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities
Design and Build ML Infrastructure: Develop and maintain scalable, production-ready infrastructure for both traditional ML (anomaly detection, user behavior analytics) and LLMs across enterprise environments.
Optimize Model Performance: Analyze and optimize LLM and ML performance using techniques like knowledge distillation, quantization, and efficient data structures to boost efficiency and lower resource costs.
Deploy and Integrate: Collaborate heavily with software and data engineers to integrate models into production pipelines, cloud-native environments, and on-premises workflows.
Drive MLOps & Tooling: Manage the complete model lifecycle (monitoring, retraining, deployment) and actively build custom tools from scratch to improve the team's ML workflows.
Elevate Engineering Standards: Perform rigorous code reviews, ensure robust Python production standards, and provide technical guidance to data scientists and junior engineers.
Cross-Functional Partnership: Partner with cybersecurity researchers and product teams to translate research insights and threat analysis features into highly performant production code.
Open-Source Engagement: Actively engage with the open-source community by contributing code and expertise to relevant ML/LLM projects.

At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities:
Own and operate the company authentication platform and internal IdP (token issuance, rotation, validation).
Build and maintain the NuGet packages for token validation and service-to-service communication used across all services.
Manage API gateway policies (routing, auth, rate limits, mTLS, observability).
Define and enforce RBAC across services (roles, permissions, policy evaluation, audits).
Continuously improve reliability, performance, and developer experience through automation, documentation, and support.

Were looking for a strategic and experienced product leader to drive our data classification and privacy portfolio-one of the most foundational parts of our platform and a critical area of investment and innovation. This role is responsible for building advanced, scalable solutions that help our customers identify, categorize, and govern sensitive data across SaaS, IaaS, and on-prem environments.
You will lead a talented team of product managers and work closely with engineering, design, marketing, and sales to ensure our classification and privacy products continue to set the industry standard. Youll work in a hybrid model, and help shape the future of the company platform.
Responsibilities
Lead the strategy, vision, and execution for our companys classification and privacy products portfolio
Manage and grow a team of experienced product managers across multiple product lines
Define and own the roadmap for sensitive data discovery, classification, labeling, and privacy-aware controls across cloud and on-premises environments
Deeply understand customer use cases for compliance (e.g., GDPR, CCPA, HIPAA), data governance, insider threat protection, and data loss prevention
Drive innovations in content-aware and context-aware classification, including AI-driven techniques such as ML, NLP, and LLM-based models to accurately identify and categorize sensitive data
Evaluate and incorporate emerging technologies (e.g., generative AI and large language models) to enhance classification accuracy, scalability, and real-time data understanding
Work hands-on with UX designers, engineering, and research teams to design thoughtful, scalable solutions
Partner with internal stakeholders including Customer Success, Sales Engineering, and Professional Services to understand deployment challenges and inform roadmap priorities
Engage regularly with customers and prospects to gather feedback and validate product direction
Collaborate with marketing and sales teams to position, launch, and drive adoption of new features and products
Track and analyze product usage, customer feedback, and market trends to iterate on product strategy
Serve as a subject matter expert and thought leader both inside and outside the organization on data classification and privacy topics.

We are looking for a brilliant and highly motivated Full Stack Engineer who is passionate about technology and eager to make an impact. In this role, you will work on our web applications, contributing to both backend services and frontend applications to ensure seamless performance and scalability. You will be responsible for designing and implementing new APIs, optimizing existing systems, and building high-quality, maintainable solutions that enhance the overall user experience.
What will your day to day look like:
Full-Stack Development: Build and deploy frontend and backend code that supports growth initiatives, ensuring scalability and performance.
Rapid Prototyping: Quickly turn ideas into MVPs for testing and validation, using an agile and iterative approach.
Data-Driven Decision Making: Work closely with analytics tools to gather insights, track KPIs, and make informed decisions that fuel growth.
Collaborate with Cross-Functional Teams: Partner with marketing, product, design, and data teams to identify opportunities and run experiments.
Contribute to the Growth Strategy: Bring your technical expertise and creativity to brainstorm and prioritize growth opportunities that align with business goals.

We are looking for a brilliant and highly motivated Senior Backend Engineer who is passionate about technology and making an impact. You will work on the core processing system of our application, revolutionizing the way the audio and video is recorded.

Were looking for a client-facing Product Manager who thrives in a fast-paced, multi-project environment. In this role, youll own and drive the strategy, definition, and execution of digital products for a range of clients - from concept to successful launch and beyond.
Youll collaborate closely with designers, developers, and business stakeholders to shape products that reach thousands (sometimes millions) of users and deliver measurable impact.
Youll build long-term, trusted relationships with clients - guiding them through every stage of the product journey and ensuring their goals translate into successful, impactful digital solutions.
What you'll be doing
Product Strategy & Ownership
Own multiple digital products across diverse domains.
Define product vision, strategy, and roadmaps aligned with client goals.
Conduct user, market, and competitive research to uncover opportunities and guide product direction.
Translate business challenges and user insights into impactful solutions and clear success metrics.
Execution & Delivery
Lead cross-functional teams through discovery, design, and development, while taking an active, hands-on role in translating strategy into tangible deliverables.
Manage product backlogs, sprint priorities, and delivery timelines using Scrum methodology.
Ensure every product release delivers on quality, user experience, and business value.
Client Collaboration
Serve as the main point of contact for clients - building trust and aligning on vision and priorities.
Build and nurture strong client relationships, acting as a trusted partner who understands their business, challenges, and goals.
Present product concepts and decisions with confidence and clarity to both technical and non-technical audiences.

Power the Future with us! At our company, we're a global leader in smart energy technology, with over 3,000 employees, offices in 30 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery Storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. our company offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. As a Sales data Analyst at our company, you will support our sales team by compiling and analyzing sales data, providing valuable feedback and actionable insights to guide sales activities. You will champion data collection and present reports and conclusions to the management team. This role requires a strong understanding of our products and business processes, technical abilities, and a high level of accuracy. It offers a unique opportunity to gain hands-on experience in sales analysis and contribute to the success of our company. Key Responsibilities
* Compile, analyze, and report sales data.
* Drive data collection and data cleansing activities, ensuring data integrity and accuracy.
* Monitor and analyze sales performance, customers behavior, determine sales potential, and issue recommendations.
* Provide actionable insights to the sales team and stakeholders.
* Prepare and present reports on data trends and sales performance.
* Develop and maintain BI dashboards and databases to visualize sales data and trends.
* Lead IS automation solutions for managing sales data.
* Collaborate with other departments to understand data needs.
* Provide administrative support to the sales team as needed.
Country:
Israel
City:
Herzliya

Were looking for a Data Analyst to join the Data for AI team. This is a hands-on, customer-facing role focused on working with leading AI companies to turn real-world data into inputs that support model development and evaluation.
Youll collaborate closely with external AI teams and internal engineering and product partners to deliver data-driven solutions for specific AI use cases. The work is fast-paced, technical, and often open-ended, requiring comfort with large datasets, ambiguous requirements, and end-to-end ownership.
What does the day-to-day looks like:
Own end-to-end delivery of data solutions for AI use cases, from understanding model and product requirements to analysis, implementation, quality, and automation
Work hands-on with large, raw datasets to create high-quality data inputs that support model training, evaluation, and iteration
Apply strong quantitative analysis and data exploration skills to assess coverage, quality, and behavior of data used in AI systems
Build scripts, analyses, and reusable components in Python and SQL to support scalable and repeatable workflows
Collaborate closely with Engineering to ensure solutions are reliable, scalable, and production-ready
Partner directly with external AI teams and internal stakeholders to translate open-ended questions into concrete data outputs.

Join us as a Full-Stack Developer and help build modern, scalable web applications that power real user experiences. Were looking for someone who loves turning complex problems into elegant solutions using TypeScript, Node.js, and React. In this role, youll work on everything from crafting rich, data-driven interfaces to designing reliable backend services and APIs. If you enjoy clean code, strong architecture, and building products that scale, this is a great opportunity to make an impact alongside a collaborative and talented engineering team

What Youll Do
Develop and maintain full-stack web applications using modern Node.js and React frameworks
Build scalable and intuitive user interfaces, including complex components and large data-driven views
Design and maintain REST APIs, including validation, authentication, and documentation
Work with relational databases to design schemas and optimize queries
Implement modern state management solutions across frontend and backend services
Ensure high-quality code through automated testing (Unit, Integration, E2E)
Collaborate with engineers, designers, and product teams to deliver reliable and scalable features

our Data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day:
On a day-to-day basis, we transform raw data into clean, structured models using tools like SQL, Python, and dbt. We build and maintain modern BI platforms, develop reporting systems, and design AI-driven analytics that surface valuable insights quickly and reliably. Our team is hands-on with building reusable metrics, defining source-of-truth data models, and ensuring consistency through a strong semantic layer. Whether were shipping a new dashboard, debugging a dbt model, or refining how a metric is defined across the business, our focus is always on clarity, scalability, and enabling smarter, faster decisions.

Were looking for a seasoned and driven Team Lead to head our NLP & Speech team. In this role, youll lead a high-performing team of researchers and engineers developing state-of-the-art capabilities in real-time transcription, semantic understanding, content generation, and AI-powered editing tools. Leveraging our unique access to vast multimodal datasets and large-scale compute, your team will drive ambitious applied research projects from concept to deployment - powering intelligent, intuitive experiences for millions of content creators.
As a hands-on team lead, youll shape the technical roadmap for NLP and Speech , identifying key opportunities to invest in foundational technologies and grow the team through strategic hiring and mentorship. Youll work cross-functionally with product, engineering, and design partners to ensure that advanced research translates into robust, scalable features that define the future of AI-assisted content creation.

We are looking for a Backend Engineer to join our MLOps team and help build the infrastructure that powers cutting-edge AI models.
In this role, youll manage the end-to-end MLOps lifecycle, designing event-driven systems that handle massive video data and moving compute-intensive, generative models from research to production.
You'll collaborate closely with AI researchers and video-processing teams to ensure our AI services are scalable, reliable, and performant.

We're a team of smart, curious engineers building powerful, intuitive applications that power content creation for millions on Apple platforms. We work with Swift, SwiftUI, and the latest iOS/macOS frameworks, tackle real-world challenges in client-side performance and user experience, and keep things practical-no overengineering, just solid solutions. If you love solving tough problems, moving fast, and building apps that creators actually use, you'll fit right in.
On your day to day:
As a Senior iOS Developer for the iOS and Mac app team, your typical day involves deep technical work and mentoring junior developers. You start by reviewing overnight bug reports and checking CI/CD pipeline status before participating in focused daily standups with the mobile team. Much of your day is spent architecting robust solutions, writing high-quality Swift code, and conducting thorough code reviews to ensure our recording apps deliver seamless experiences across Apple platforms. You collaborate closely with product and design teams to translate requirements into technical implementations, while also researching and integrating the latest iOS frameworks and technologies. Throughout the day, you tackle complex technical challenges, optimize app performance, and share your expertise with teammates through pair programming and technical discussions, ensuring recording technology performs flawlessly on iOS and macOS devices.

we are looking for a GTM Engineer.
On your day to day:
Youll be our first GTM Engineer, building the bridge between data, automation, and GTM excellence. Your day will include designing and deploying AI-powered agents, connecting multiple tools like HubSpot, Snowflake, and Gong, and turning fragmented data into automated insights, workflows, and sales intelligence.
Youll create real impact by enabling our reps to move faster, engage smarter, and retain more customers, with the help of scalable tech and smart automation.