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We are looking for a senior Windows developer who is passionate about software design, code quality, and performance. The job involves writing production-grade and highly performant code that will be shipped to thousands of endpoints. The role includes developing for the Windows kernel to collect the necessary data as well as writing user-mode code for integrating the kernel driver into our sensors architecture.
The Dream-Maker Responsibilities
Write production-grade C/C++ code to create robust and high-performance software drivers and applications for Windows.
Investigate possibly undocumented system behavior to enable product features or to resolve software issues.
Optimize code for maximum efficiency and resource utilization, ensuring the smooth operation of our solutions.
Collaborate closely with operating system internals to gather essential data for analyzing abnormal behavior on endpoints.
Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices.
Work effectively within a team, contributing to a collaborative and innovative development environment.
Apply your problem-solving abilities to address complex technical challenges in the cybersecurity domains.

We're building our Cyber Threat Intelligence platform - a system that harvests, contextualizes, and serves threat intelligence at scale. This includes AI-powered Copilot experiences, analyst-facing dashboards, and the services that connect them.
We're looking for a versatile Full-Stack Engineer to own features end-to-end, from backend services to the UI that puts intelligence in analysts' hands.
You might be stronger on the frontend or backend - that's fine. What matters is your ability to work across the stack, take ownership of entire features, and ship with autonomy. You'll collaborate closely with product, UX, and CTI researchers to translate complex data into intuitive experiences, all within a fast-moving environment with short development cycles.
The Dream-Maker Responsibilities
Own features end-to-end - from data layer to UI -delivering complete solutions that serve real analyst workflows.
Build core components of the CTI platform, including AI Copilot experiences, dashboards, and data visualization tools.
Develop backend services and APIs that process and expose threat data to client applications.
Craft responsive, maintainable frontend experiences using Vue, TypeScript, and modern tooling.
Collaborate with product and UX to translate requirements into well-designed, documented solutions.
Drive engineering best practices across the stack - code quality, testing, and maintainability.

We're building our Cyber Threat Intelligence platform - an AI-first product that harvests, contextualizes, and serves threat intelligence at scale. We're looking for a Python-native backend engineer to own the infrastructure that makes this possible.
You'll design and build the systems that power both agentic AI workloads and large-scale data orchestration - exposing CTI insights as a service to UI components, APIs, and autonomous agents across the ecosystem. This is a greenfield opportunity where you'll shape foundational architecture decisions on a new product with a small, high-impact team.
The Dream-Maker Responsibilities
Build the tooling and infrastructure that enables AI agents to consume and reason over threat data.
Develop systems that harvest data from open and dark web sources, cross-reference signals, and contextualize raw intelligence into actionable insights.
Serve curated CTI data to various consumers - dashboards, internal services, and other agents in the platform.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Design and scale agent-based systems along with robust evaluation frameworks.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Create developer tooling and experiences that make the platform usable for other engineers building on top of it.

Required Senior Backend Engineer - Posture
Were building the next generation of autonomous cybersecurity technology - systems that think like attackers to continuously uncover security gaps in enterprise environments.
As a Senior Engineer in our Attack Simulation Platform team, youll design and build the engines, data models, and intelligent agents that simulate advanced adversaries across large-scale networks. Youll combine strong software-engineering skills with deep security intuition to create systems that mirror human attacker behaviour and discover real weaknesses before attackers do.
The Dream-Maker Responsibilities
Design and build AI-driven agents that emulate adversarial behaviours such as lateral movement, privilege escalation, and persistence.
Develop core simulation and orchestration components in Go (primary language) and integrate with in-house AI models.
Model and simulate attack paths across complex enterprise environments (identity, endpoint, network, and cloud).
Collaborate with red-teamers, researchers, and data scientists to translate threat intelligence and real attack TTPs into executable logic.
Contribute to architecture decisions, scalability, and performance optimization for distributed simulations.

Were looking for a Senior Backend Engineer to join our Detection group. Be a significant part of the development of infrastructure that efficiently handles, processes, and stores vast volumes of data. Youll design and evolve core backend and build scalable, high-performance backend system that enables our real-time threat detection platform and find state-sponsored attacks.
The Dream-Maker Responsibilities
Design and develop complex, large-scale backend systems that efficiently handle, process, and store high volumes of data.
Own backend architecture end-to-end, from early design decisions to production rollout and long-term evolution
Translate business and technical requirements into clear backend architecture and detailed implementation plans, with strong focus on design quality, maintainability, reliability, and performance.
Collaborate closely with cross-functional teams (Product, Data, DevOps, Security) to deliver robust backend and data-processing capabilities.
Build resilient, production-grade systems and drive modern engineering practices, leveraging cloud technologies.
Debug and resolve complex backend issues using strong analytical and problem-solving skills.
Lead technical initiatives, drive best practices, and raise the bar for engineering quality.

We are looking for talented Sales people for the Israeli Market!
What does it mean? Here you go:
Solid understanding of the cloud world and ability to explain cloud products/enterprise software or IT Services benefits and features in detail.
Nurturing a strong pipeline of opportunities and acting at your best to win them!
High end sales process managing - be a pro!
Understanding the internal business processes of potential clients - strategizing, presenting and demonstrating a tailored technology solution.
Developing an understanding of the customers business objectives in order to map a strategy that will be a viable solution to those business objectives.
Commuting to quarterly and annual revenue goals by selling a set of cloud, acceleration, security and infrastructure as a service solutions.

Were on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building the AI application foundation behind our next-generation cyber-AI product.
This team owns the core backend and frontend infrastructure that powers all user-facing applications - as well as the agentic and conversational frameworks that bring intelligence and automation into the experience.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the systems that enable every other Engineering group to create fast, scalable, and intelligent apps on top of our platform.
The Dream-Maker Responsibilities
Lead a multidisciplinary team responsible for backend services, frontend frameworks, and AI agent infrastructure - the technical bedrock of our product experience.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and build robust frameworks and systems that power all customer-facing applications.
Develop the agentic and conversational architecture enabling LLM-powered user interactions and intelligent workflows.
Collaborate with AI research, data, and product teams to seamlessly integrate AI-driven capabilities into production systems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.

We are on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building our Sensor.
This team owns the entire endpoint agent, which is the backbone of our collection capabilities from Windows and Linux endpoints.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the agent that enables our fully AI-driven platform to identify and respond to real-time advanced persistent threats.
The Dream-Maker Responsibilities
Lead a team responsible for the endpoint product on Windows and Linux systems.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and code production-grade C++ to create robust and high-performance software applications.
Collaborate with backend, frontend, research and other teams within the company to deliver state-of-the-art solutions for challenging problems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.
Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices and guidelines.

Our technology combines an online video platform with a machine learning-based yield engine, giving media owners the control, scale, and transparency they need to thrive.
What drives us is simple: were stronger together, always evolving, and radically transparent. Collaboration fuels our best work, innovation keeps us ahead, and honesty builds lasting trust with our colleagues, partners, and customers. We are proudly backed by The Walt Disney Company, Saban Ventures, Viola Group, 83North, and others.
Now were growing our team-and thats where you come in. Were building a place where talented people make an impact, ideas spark change, and everyone has a seat at the table.
What you'll do:
Full ownership and management of our monetization serving layer
Support and manage 99.999 uptime infrastructure products with billions of transactions every day.
Grow and develop a team of talented and motivated backend developers.
Own the design, execution, quality, and end-to-end delivery of highly scalable products.
Manage projects in order to ensure that all projects are delivered on time, within the scope, and within budget, and eventually meet the end clients in production
Collaboration with stakeholders as Business, Product, Operations inc.

Required Senior Threat Intelligence Researcher
The Dream Job
As a Senior Threat Intelligence Researcher, you will be responsible for tracking advanced adversaries and leveraging your deep technical expertise across attacker capabilities, infrastructure, and tactics. You will create and refine approaches to uncover and monitor active threat actors, as well as surface irregular and emerging behaviors in the broader threat landscape. The intelligence you generate will directly strengthen our understanding of threat actors and will inform proactive hunting, detection engineering, and defensive decision-making.
The Dream-Maker Responsibilities
Lead complex threat intelligence investigations through in-depth analysis of the global threat landscape, with a focus on advanced and state-linked actors.
Define and prioritize threat research focus areas (actors, campaigns, sectors, techniques) aligned with our customers and product roadmap.
Deliver actionable cyber threat intelligence and design and execute hunting campaigns using analytics, automation, and advanced AI capabilities.
Curate and maintain structured knowledge on actors, campaigns, infrastructure, and TTPs in our internal threat knowledge base.
Work closely with CyberAI researchers on the development of next-generation artificial cyber researchers and AI-driven analysis capabilities.

Required Senior Malware Researcher
The Dream Job
As a Senior Malware Researcher, you will analyze and reverse engineer malware and tooling used by advanced threat actors, particularly those targeting governments and critical infrastructure. You will apply deep expertise in binary and script analysis to uncover capabilities, configurations, and C2 infrastructure for threat actor attribution and mitigations.
Your work will power our malware catalog, strengthen our understanding of threat actors technical capabilities, and directly support the development of next-generation AI-driven "artificial cyber researchers".
The Dream-Maker Responsibilities
Perform in-depth static and dynamic analysis of malware, implants, loaders, and related tooling used by APTs and other sophisticated adversaries.
Reverse engineer binaries and scripts (e.g., PE, ELF, .NET, PowerShell, JavaScript/VBA) to determine capabilities, execution flow, persistence mechanisms, and evasion techniques.
Extract and document configuration data and C2 information, and map these to campaigns, infrastructure, and threat actors in collaboration with CTI researchers.
Develop and maintain detection and hunting artifacts such as YARA rules, VT LiveHunt queries, CAPA rules, and sandbox behavior signatures.
Work closely with CyberAI researchers on the development of next-generation artificial cyber researchers and AI-driven analysis capabilities.

We are looking for a Technical Presale Engineer with a strong technical orientation in cyber security and networking.
The ideal candidate has 2-4 years of customer-facing experience (e.g., presales, solutionarchitects, technical account managers, training, or consulting), and a willingness to travel.
The role is ideal for people who combine strong technical knowledge with an energetic attitude and the ability to build strong client relationships.
The Dream-Maker Responsibilities
We are looking for a Technical Presale Engineer with a strong technical orientation in
cyber security and networking. The ideal candidate has 2-4 years of customer-facing experience (e.g., presales, solutionarchitects, technical account managers, training, or consulting), and a willingness to travel.
The role is ideal for people who combine strong technical knowledge with an energetic attitude and the ability to build strong client relationships.
You will help execute technical presales processes and contribute as a trusted client advisor, ensuring successful solution delivery and long-term customer satisfaction.
We work in a high-paced environment, with frequently changing priorities. Hence a high degree of flexibility and adaptability is required.

We are seeking a skilled and adaptable Solution Architect to lead deep technical engagements during both pre-sales and post-sales phases. You will ensure seamless deployment, resolve complex technical issues, and deliver long-term value to customers through our AI-powered cybersecurity platform.
This role also includes ownership of lab environments to simulate customer use cases, validate solutions, and support internal testing and demos-making it a key technical bridge between Product, Engineering, and Customer Success.
The Dream-Maker Responsibilities
Build and maintain strong relationships with customers, serving as a trusted technical advisor to understand and address their needs, challenges, and goals.
Collaborate with internal teams, including R&D and Product, to align customer feedback with roadmap priorities and platform improvements.
Lead the technical aspects of Proof of Concepts (PoCs) and guide customers through pre-deployment readiness.
Drive post-sales success by resolving complex issues, optimizing deployments, and identifying opportunities to improve security posture.
Deliver technical enablement and training sessions for customer teams to ensure strong adoption and platform fluency.
Stay informed on the latest in cybersecurity, infrastructure, AI, and cloud technologies to continuously elevate customer outcomes.
Lab Environment Ownership: Responsible for designing, maintaining, and automating lab environments that simulate real world customer deployments to test product features, validate integrations, demonstrate the platform, and support cross-functional testing and customer issue replication.

Were looking for a Senior Program Manager to own the execution of our Sovereign AI roadmap end-to-end. Youll sit within the Product group and act as the connective bond between Data Science, Engineering, and Product - making sure complex, cross-functional initiatives ship on time and at the quality bar our customers expect.
If you are an unblocker, enjoy making tough tradeoff calls, and drive accountability across the board, your place is with us. Youll manage multiple parallel workstreams across verticals (Security, Health, AML, and more), platform, and AI/ML domains- and youll be the person everyone relies on to know and manage where things stand and what is about to happen next.
The Dream-Maker Responsibilities
Own and manage the full lifecycle of Sovereign AI projects from planning through delivery. Track milestones, dependencies, and risks across multiple concurrent workstreams.
Drive cross-functional alignment, and work daily with Data Science, Engineering, Product, and Design teams to ensure same direction. Break down silos and surface early mitigation.
Maintain clear, accurate visibility into project status, blockers, and timelines. Communicate proactively to stakeholders and management.
Identify and solve risks, by own and drive resolution.
Work closely with senior leadership and domain leads to ensure roadmap priorities reflect strategic goals.
Translate execution-level realities into clear decision points - when tradeoffs need to be made, you frame the options and drive alignment.
Interface with internal leadership and external government stakeholders to align on scope, timelines, and priorities. Keep information flowing in both directions.
Continuously refine processes, rituals, and tools to make the team more effective without introducing unnecessary overhead.

Required Senior ML Engineer - Applied AI Engineering Group
The Dream Job
It starts with you - an engineer driven to build the ML platform that turns research into reliable, production-grade intelligence. You care about reproducibility, low-friction experimentation, and infrastructure that earns the trust of the scientists and researchers who depend on it daily. You'll architect and ship our ML platform - training pipelines, model serving, feature stores, experiment tracking, and compute orchestration - turning models into production capabilities across cloud and on-prem, including air-gapped deployments. A significant part of the platform supports large language models, with unique challenges across training, evaluation, and inference in mission-critical environments.
If you want to make a meaningful impact, join our mission and build the ML platform that drives Sovereign AI products - this role is for you.
The Dream-Maker Responsibilities
Build and operate ML training infrastructure - distributed training pipelines, compute scheduling, and reproducible experiment workflows that data scientists rely on daily.
Own model serving and inference systems - packaging, deployment, autoscaling, A/B testing, canary rollouts, and latency/cost optimization for production models.
Run feature stores, model registries, and dataset versioning - enabling self-serve feature engineering, model lineage, and reproducible experiments across teams.
Build experiment tracking and evaluation infrastructure - automated evals, comparison dashboards, drift detection, and monitoring that give teams visibility into model behavior and performance.
Build and maintain production pipelines for training, fine-tuning workflows, and serving domain models - owning reliability, reproducibility, and scale.
Build and maintain the monitoring and observability layer - model performance tracking, data and prediction drift detection, data quality validation, and alerting.
Improve performance and cost across the ML stack - training throughput, inference latency, batch vs. real-time tradeoffs, and compute cost management.
Ship shared tooling - libraries, templates, CI/CD for models, IaC, and runbooks - while collaborating across Data Platform, AI, Data Science, Engineering, and DevOps. Own architecture, documentation, and operations end-to-end.