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We are looking for a Senior Backend Engineer (AI DLP) to join the team building our next-generation DLP product. The team is extending our data-security platform from understanding sensitive data at rest to protecting it at the moment it is used or shared-including across browsers, GenAI applications, and employee endpoints.

You will help build the control plane behind this product: the services that manage endpoint identity and enrollment, policies, classification, device configuration, telemetry, and the connection between our DSPM intelligence and real-time DLP decisions. This is a role with substantial technical ownership, direct customer impact, and close collaboration across Product, Research, Data, Frontend, and Infrastructure.

Responsibilities
Design and implement core backend components of our DLP control plane.
Own features end-to-end: architecture, implementation, testing, rollout, observability, and production operation.
Build secure, reliable multi-tenant services that communicate with browser extensions and endpoint agents deployed across customer endpoint fleets.
Connect our DSPM classification and policy systems with real-time endpoint enforcement, translating data-at-rest intelligence into actionable protection.
Design APIs and data models that support large endpoint fleets, frequent policy updates, offline clients, credential rotation, and safe software upgrades.
Improve the scalability, performance, reliability, and operational visibility of the DLP platform.
Conduct design and code reviews and help establish strong engineering practices.

We're looking for a DevOps & Deployment to join the Deployment team and take ownership of how we reache our customers' environments - and how it runs once it gets there.

This role sits at the intersection of cloud infrastructure and backend engineering. You'll build and maintain the Infrastructure-as-Code and tooling that customers use to deploy us across AWS, Azure, and GCP - including Kubernetes-based, VM-based, and on-premise environments. Alongside that, you'll develop the backend services that power the deployment lifecycle: orchestration, provisioning, environment management, health monitoring, and deployment verification - time-critical services where reliability directly impacts the customer experience.

The role blends hands-on engineering, cloud architecture, and customer-facing technical work. You'll collaborate with Solutions Engineering, Support, and customers directly to ensure deployments are smooth, secure, and scalable.

Responsibilities
This is a DevOps and Backend role, with approximately 60% of the focus on DevOps & Deployment and 40% on Backend engineering. Youll own both the infrastructure that enables us to run in complex customer environments and the backend services that support and manage the deployment lifecycle.

DevOps & Customer Deployment ~60%
Develop and maintain Infrastructure-as-Code (Terraform, CloudFormation) that customers use to deploy and integrate the product into their cloud environments.
Design customer-deployable cloud architectures across AWS, Azure, and GCP, including networking (VPC/VNet, routing, NAT, PrivateLink / private endpoints) and security primitives.
Build and maintain deployment tooling (CLI tools, installers, templates, automation) to simplify customer setup and upgrades.
Develop and maintain our Kubernetes-based deployment (Golang, Helm) for both cloud-native and on-premises environments.

Backend Engineering ~40%
Build and maintain backend services (Python, TypeScript) that power the deployment lifecycle - including orchestration, provisioning, and environment management.
Develop health monitoring and deployment verification services that ensure reliable, validated deployments with minimal customer friction.
Design and improve APIs that manage customer environments, ensuring they are robust, well-documented, and easy to integrate with.
Own the reliability and performance of time-critical deployment services where latency and correctness directly affect the customer experience.

Collaboration & Customer-Facing Work
Act as a technical escalation point for customer deployment and integration issues, working closely with Solutions Engineering and Support.
Collaborate with external-facing teams (Customer Success, Solutions Engineering, Sales Engineering) on customer deployments and integrations, including participating in calls or troubleshooting sessions when needed - sometimes during US business hours.

We are seeking an experienced Data Science Team Lead to join us and play a key role in shaping the future of data security. As a Data Science Lead, you will be part of our Classification team, which lies at the core of our mission - identifying sensitive data and helping customers detect the most critical risks in their cloud environments. Our multidisciplinary team of data scientists.

Responsibilities
Lead the end-to-end lifecycle (design, development, and deployment) of ML models (e.g., NER, LLMs) to advance our data classification and entity recognition capabilities.
Partner with Product to align cutting-edge AI technologies with real-world customer needs and our roadmap.
Architect robust experimentation frameworks to accelerate model iteration, validation, and production deployment.
Utilize extensive datasets to define quality benchmarks and drive continuous performance improvements.
Champion innovation by identifying opportunities for automation and AI-driven features that maximize customer value.

Malvertising attackers are already using AI to hide their campaigns. We're building the detection technology that beats them, and we need a leader who can make it the best in the world. As our VP Security & Research, you'll report directly to the CEO and own our malvertising detection vision, combining deep security research with AI and agentic innovation. You'll lead our security research team, uncover new attack techniques before they reach users, and turn that insight into detection that works in real time at massive scale. You'll build a research agenda that puts us on the stage at the world's top security conferences, and partner with Product, R&D, Data Science, Customer Support, and other key functions inside and outside the company to bring it to market. You'll be the security and research voice of us for customers, partners, and the wider security community.

What You'll Do
Set the strategy and roadmap for our malvertising detection and security research.
Lead, mentor, and grow the security research team.
Drive AI and agentic innovation in detection, working with R&D and Data Science to turn research into production-grade capabilities.
Uncover and track emerging malvertising threats, evasion techniques, and attacker campaigns across the ad ecosystem.
Own detection quality: push for uncompromising precision, coverage, and speed.
Drive original research and publications, and represent us at leading security conferences.
Partner with Product, R&D, Data Science, Customer Support, and other key functions in the organization and outside of it.
Report to the CEO and management on research impact, threat landscape, and priorities.

We are looking for a Product Marketing Manager to lead the go-to-market strategy, positioning, and messaging across our product portfolio.

This is a highly strategic role at the intersection of Product, Marketing, and Sales. You'll own how the market understands our products - defining compelling positioning and messaging, leading our go-to-market strategy, and translating complex technology into clear customer value. It's a high-impact role with significant ownership, working closely with senior leadership to shape both our market narrative and product direction.

We're looking for a strong product marketer with proven experience marketing complex technical products to US-based B2B audiences.

This position is based in Tel Aviv, Israel.

Responsibilities
Own product positioning, messaging, and value proposition across our product portfolio.
Lead the go-to-market strategy and execution for new products, features, and major releases.
Become our internal expert on the ad security and digital advertising ecosystem, identifying market trends, customer challenges, and competitive opportunities.
Conduct market, customer, and competitive research to influence product strategy, roadmap, and commercial priorities.
Act as the voice of the customer by bringing market insights directly into Product discussions.
Partner closely with Product Managers throughout the product lifecycle - from discovery and validation to launch and adoption.
Create high-impact sales enablement materials, including presentations, one-pagers, battlecards, case studies, competitive analysis, and product messaging.
Collaborate with the Marketing team to develop campaigns, content, thought leadership, and launch activities that drive awareness and demand.
Support Sales on strategic opportunities, customer presentations, and competitive deals.
Measure product launch success, gather customer feedback, and continuously refine positioning and go-to-market strategy.