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We are looking for a Staff Data Scientist with strong Machine Learning foundations and practical enterprise experience to join the VMDR team. In this role, you will act as a technical builder owning complex problem domains end-to-end, diving deep into cybersecurity nuances, and architecting cutting-edge LLM and ML solutions from initial research all the way to scalable production deployment.
What Youll Do:
End-to-End Ownership: Drive complex AI and ML initiatives through the full product lifecycle from early-stage prototyping and deep domain analysis to production-grade deployment and monitoring.
Architect & Deploy: Design and build production-ready AI models and system pipelines in Python using modern cloud and big data infrastructure (AWS, Spark).
LLM Innovation: Integrate state-of-the-art Generative AI and LLM workflows directly into our core VMDR features to drive automated detection, prioritization, and remediation insights.
Domain Deep-Dives: Partner closely with domain researchers, data engineers, and product leaders to dive into granular cybersecurity data and translate complex security problems into high-impact AI solutions.

As a Senior Data Scientist , you will be an integral part of our Machine Learning and AI team. The role is hands-on and impact-driven, focusing on building, improving, and delivering machine learning models that directly support business goals.

Responsibilities
Design and deploy production ML systems that drive automated business decisions (pricing, bidding, resource allocation)
Build end-to-end ML pipelines - from data ingestion and model training to serving, monitoring, and incident response
Translate ambiguous business problems into rigorous mathematical frameworks and own them from conception to production impact
Conduct rigorous experimentation (A/B testing, causal inference, uplift modeling) to measure and improve model performance
Maintain and improve real-time models that adapt to incoming data and feedback signals
Mentor junior team members on ML best practices and production standards

This is not a traditional, hands-off management role. You will be a hybrid builder, someone who started in frontend web development (HTML, CSS, JS) and has a sharp eye for conversion rate optimization (CRO) and design. You will work directly with performance marketing stakeholders, brand managers, and design teams to take brief requirements and personally build, code, and launch innovative landing pages directly inside our Sitecore CMS framework.

By aggressively utilizing cutting-edge AI generation tools, you will act as a force multiplier-rapidly executing layouts, copy variations, and functional tests on your own without waiting for central development queues.

Responsibilities
End-to-End Page Creation: Take a campaign brief from marketing or a concept from design and personally build, format, and publish the landing pages directly inside the CMS. You are the solo owner of the execution phase.
AI-Powered Assembly & Coding: Actively use modern AI tools to generate high-performing frontend code, write clean copy variations, and assemble layouts at lightning speed.
Cross-Functional Collaboration: Partner directly with Performance Marketing teams to understand campaign goals, and with Brand/Design teams to ensure every page is visually stunning and strictly compliant, all while optimizing for maximum conversion drop-offs.
Hands-on Front-End Customization: Know exactly when to build modularly using design system components for speed, inject raw optimized HTML/CSS for quick validation, or configure interactive elements for deeper user engagement[cite: 1, 2].
A/B Testing Implementation: Personally set up, deploy, and monitor multivariate tests down the funnel to continuously lift registration and first-time deposit metrics.

As a hands-on individual contributor, you will act as the primary technical expert for the marketing department when data discrepancies or tracking failures occur (e.g., missing conversions, Meta Ads signal drops, or AppsFlyer event mismatches). This position requires a proactive professional who uses SQL and data warehouse environments to identify and resolve anomalies before they impact reporting.

This is a dedicated technical specialist role focused entirely on deep ownership of data infrastructure and troubleshooting, without people-management responsibilities.

Responsibilities
Production Support & Troubleshooting

Own the end-to-end resolution of tracking and signal-delivery incidents (detection, root cause analysis, remediation, and documentation).
Diagnose data discrepancies across three distinct delivery paths: client-side GTM tags, Server-to-Platform CAPI, and reverse ETL.
Address and resolve brand- or country-specific tracking constraints, including regulatory and consent requirements.
Data Quality & Analysis

Conduct regular audits of event and conversion data across major platforms (Google Ads, Meta Ads, GA4, AppsFlyer, TikTok, and programmatic partners) to prevent attribution distortions.
Utilize SQL within Snowflake to validate that events sent via CAPI and reverse ETL match system specifications.
Document technical incidents and resolutions in clear, actionable reports for both technical and non-technical stakeholders.
AppsFlyer & GTM Ownership

Manage configurations and serve as the primary subject-matter expert for AppsFlyer and Google Tag Manager (both client-side and server-side) across all brands.
Partner with the internal GA4 team on cross-functional data issues (without holding direct responsibility for GA4 configuration).

We are seeking a senior, hands-on engineer who combines deep engineering fundamentals with modern toolsets to deliver high-impact, production-grade software.
What You'll Do:
Lead the end-to-end design and implementation of scalable backend microservices, database schemas, and advanced frontend infrastructures.
Drive system architecture decisions, ensuring high performance, security, and reliability across AWS cloud environments.
Write clean, maintainable, and high-performing code across both backend (Python) and frontend (React, TypeScript) stacks.
Utilize AI-assisted development workflows (such as Claude Code) effectively to accelerate delivery while strictly adhering to high standards of code quality, testing, and architecture.
Partner closely with product managers, data analysts, architects, and QA engineers to deliver complex, cross-company initiatives.
Take end-to-end ownership of horizontal group projects and mentor team members on best engineering practices.

We are looking for a talented, data-driven Product Manager who lives at the intersection of sports, technology, and user experience.

You aren't just writing specs; youre building the user experience for millions of sport fans. If you can translate complex sports data into a seamless user journey, we might have a fit.

Responsibilities
End-to-End Ownership: lead the full product lifecycle from initial idea and detailed PRDs to version release and post-launch optimization.
Cross-Functional Coaching: Collaborate with Design, Dev, BI, and Content teams to turn ideas into high-performing features. You will be the focal point that keeps the team aligned.
Data-Driven Growth: utilize user data to define product KPIS and make sure those KPIs are achieved.
Execution Excellence: take full responsibility for the product from start to the "Finish Line" to ensure we ship the best possible version of the product on time.

we are looking for a Sr Staff Product Manager - Network Security.
What you'll do:  
Lead product strategy and its roadmap to achieve its goals
Be the market expert: The enterprise customers needs and the competitive landscape
Prioritize and define product backlogs that align with complex enterprise business goals and security strategies
Work closely with engineering teams to deliver high-scale features effectively and efficiently
Proactively engage enterprise customers, CISOs, and internal stakeholders to validate planned scope and definitions throughout the product life cycle
Integrate usability studies, research and market analysis into product requirements to enhance user experience
you will innovate, design, execute, lead your product, and be the focal point of all product-related issues, inbound and outbound, bridging between R&D and various stakeholders in the company: sales and presales, customer success, operations, marketing among others.

Join a unique "startup within a corporate" environment, where you will build an entire product category from scratch within the ecosystem. This role offers the best of both worlds: the agility, rapid execution, and massive impact of a startup, fully backed by the robust Go-To-Market (GTM) engine of a highly established company. Operating in the deep security and vulnerability detection space, you will be at the forefront of modern technologies, embedding AI into cutting-edge products. Starting with our core vulnerability detection product, you will help us crack entirely new domains and scale our portfolio as we launch new products to the market.
Job Description What you get to do in this role:
Lead the zero-to-one product strategy and execution for a new deep security product category, setting us up for success as we look to grow to $10B+ in revenue.
Collaborate closely with security researchers, cyber experts, and multiple engineering teams to define and solve complex security challenges, bringing high-quality products to life rapidly.
Assume leadership responsibilities as an accountable owner who is committed to the outcome regardless of the role or organizational boundaries.
Communicate product priorities, build consensus, and drive fast-paced progress.
Integrate usability studies, cyber research, and market analysis into product requirements to enhance user satisfaction and security posture.
Communicate complex problems into easily understood requirements and provide solutions.
Develop multi-mode communications that convey a clear understandin of the needs of different audiences.
Lead the promoting of efforts across different groups of team members, along with the ability to influence inside and outside of your team.

a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements.
Responsibilities
Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
Analyze large, complex data sets to address strategic and operational business questions.
Actively take part in building and maintaining our AI Driven-BI Agentic Architecture.
Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
Perform qualitative, quantitative, and statistical analysis.
True passion for understanding data and finding Insights.
Provide actionable recommendations and conclusions from data to shape features and future product road maps.

Were looking for a highly organized and people-oriented Administrative Assistant for a temporary maternity leave cover, starting in December 2026, to provide personalized support to our Executive team.
Please note this in an On-site role from our TLV office
What you will do:
Assist our SVP with personal and day-to-day needs
Track tasks and follow up on action items to ensure execution
Support executive team members with administrative and logistical tasks
Help coordinate personal errands and scheduling as needed
Maintain ongoing communication while ensuring discretion and confidentiality
Manage executive offsites in Israel and abroad

We are looking for a highly analytical and performance-driven User Acquisition Manager to join our team and help scale our global user growth efforts. In this role, you will own acquisition and re-engagement activities across multiple paid media channels, optimize campaigns at scale, and drive measurable impact on user growth and business performance.

This is an exciting opportunity for someone who combines strong performance marketing expertise with a passion for data, experimentation, AI-driven innovation, and mobile app growth.

Responsibilities
Own and manage user acquisition, re-engagement, and retention campaigns across multiple advertising channels, including Meta, Google Ads, Apple Search Ads, DSPs, OEMs, and ad networks.
Monitor, analyze, and optimize campaigns to achieve and exceed growth KPIs, including installs, registrations, retention, engagement, and revenue targets.
Plan, execute, and scale innovative growth initiatives, experiments, and A/B tests to improve acquisition efficiency and user quality.
Build and maintain strategic relationships with media partners, advertising platforms, and agencies.
Provide regular performance reporting, insights, and recommendations to internal stakeholders and external partners.
Collaborate closely with Product, Content, Data, and Business Development teams to align marketing activities with product launches, sports calendars, and engagement initiatives.
Work with the creative team to continuously test new ad creatives, messaging, and formats across different markets and audiences.
Analyze user behavior, attribution data, cohort performance, and conversion funnels to identify growth opportunities.
Support expansion into new markets through competitive analysis, market research, and audience insights.
Stay updated on industry trends, privacy changes, attribution solutions, mobile measurement, and best practices across performance marketing channels.

Were looking for a Analytics Engineer to own the data and analytics foundation that helps Product, Growth, Customer Success, R&D, and leadership make better decisions.
Youll own the path from raw data to actionable insight - building reliable models, defining key metrics, analyzing product and business performance, and communicating what the data actually tells us.
What youll do:
Analyze product and business performance: Track core KPIs, investigate trends and anomalies, and analyze product usage, feature adoption, customer behavior, funnels, and retention to identify opportunities for improvement.
Turn data into actionable insights: Translate analytical findings into clear recommendations that help Product, Growth, Customer Success, and leadership make better decisions.
Evaluate product initiatives: Measure the impact of new features, product changes, and experiments using appropriate analytical and statistical methods.
Own analytical data models: Develop and maintain reliable, well-structured data models that support consistent metrics, self-service analytics, and trusted business reporting.
Improve the analytics foundation: Contribute to the evolution of our analytics infrastructure, data quality, and tracking in collaboration with Engineering and other stakeholders.
Build and communicate insights: Develop dashboards and targeted analyses, and present findings clearly to technical and non-technical stakeholders, connecting results to business impact.

we are looking for a Clinical Data Labeler.
The Clinical Data Labeler contributes significantly to the training of our AI models, which aim to enhance the quality of life for senior citizens. This position involves meticulously tagging and classifying textual data based on clinical and technical criteria to ensure high-quality AI training datasets.
Key Responsibilities:
Review and analyze clinical textual data, including speech and other relevant sounds.
Accurately tag and classify textual data using clinical and technical criteria.
Collaborate with the AI team to refine and improve labeling guidelines.
Communicate regularly with the team to report challenges, suggest improvements, and ensure consistent data labeling.
Maintain a high level of attention to detail to ensure quality and accuracy in data labeling.