לוח משרות דרושים

We are seeking a Threat Researcher to analyze enterprise environments and strengthen network resilience. This role focuses on researching device configurations, network relationships, and lateral movement opportunities, while developing methods and tools to harden infrastructures against advanced threats.
The ideal candidate will also support PoCs by applying research capabilities to real-world govermental environments and working closely with customers to validate threat scenarios and demonstrate cyber value.
The Dream-Maker Responsibilities
Analyze various network devices, configurations, and security products
Implement methods and algorithms to discover network topology, relationships between devices, and potential lateral movement paths
Conduct network security assessments to identify weaknesses in customers' network infrastructure and recommend mitigations to monitor and limit unauthorized access
Develop research tools and frameworks to perform automatic analysis of network devices and security products
Research and analyze network-related cybersecurity threats and trends
Drive threat research efforts in customer and PoC environments to uncover, simulate, and validate real-world attack scenarios, demonstrating cyber value through our Security platform capabilities
Translate technical research findings into actionable insights for customer-specific environments.
Work closely with other internal engineering and AI teams to integrate new capabilities into our platform and guide cross-product architectural decisions
Act as a security subject matter expert for multidisciplinary teams
Produce technical reports and research publications to share findings and methodologies.

As a Data Scientist in our company, you will be a part of a large and innovative data science group, working closely with Dev teams and product managers, to create business value through Data Science and Machine Learning methods using cutting edge technology, on large and diverse datasets.
The Role consists of understanding customers' needs and product requirements, exploring data, identifying and defining functionality from conception to delivery, creating and improving algorithms and ML pipelines, building measurement tools, providing data visualizations, and more.
Deliver end-to-end ML products - including data processing, problem analysis, research, model development, validation and metrics, implemented in production and with online testing.

As a DevEx Team Leader at our company, you will lead the charge in significantly improving the productivity, efficiency, and satisfaction of developers across the organization. You will define and execute the strategic roadmap for the team and the platform, focusing on building easy-to-use platforms, services, and automations around infrastructure, software development cycles, and organizational tools to improve overall dev velocity. This role requires a blend of hands-on technical expertise, strategic vision, and strong leadership to drive a culture of developer-centric excellence.

Key Responsibilities:
Lead the DevEx Strategy and Vision: Define the long-term roadmap for developer tooling, experience, and platforms, ensuring alignment with organizational goals and staying up-to-date with industry trends.
Drive Tools and Platform Development: Oversee the development and maintenance of core developer productivity tools, AI enablement, CI/CD pipelines, and infrastructure automation services with a focus on tailored solutions for organizational scale needs.
Platform Engineering: Design solutions at scale based on regular feedback loops and organization needs. Define, track and build observability on platform usage, utilization, costs and bottlenecks.
Champion Developer Advocacy and Workflows: Act as the primary bridge between developers and the infrastructure organization, ensuring needs are met. This includes streamlining onboarding, promoting coding standards, and overseeing the creation of high-quality documentation and educational resources.

Required Business Operations specialist
TLV - ISR
About The Position
We redefine cyber defense vision by combining AI and human expertise to create products that protect nations and critical infrastructure. This is more than a job; Its a Dream job. This is where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Lets build something extraordinary together.
Our AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Central to our proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.
Our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.
The Dream Job
This role sits at the centre of execution. Youll support our client executive team, solution architects, support engineers, deployment squad, and training leads - ensuring every post-sale interaction is coordinated, tracked, and elevated to our standard of excellence. You will also build systems to monitor collections, renewal timelines, and customer financials.
our customer relationships are strategic - we work with national agencies and critical infrastructure operators. Your job is to make sure every delivery is executed with clarity, speed, and rigor.
The Dream-Maker Responsibilities
Cross-team operational coordination
Act as the operational right hand to our client executives, helping align customer priorities with internal execution.
Drive task and milestone tracking across solution architects, support, deployment, and training - ensuring no handoff is missed.
Build and maintain internal tools and views to visualize the customer journey across multiple workstreams.
Financial and renewal operations
Maintain clear visibility on customer revenue, invoicing, and collections in coordination with finance.
Track contract end-dates, renewal risk, and revenue exposure - building dashboards and alerts for leadership.
Prepare supporting material and ops-readiness for renewal conversations, including usage stats, delivery KPIs, and unmet needs.
Delivery health & issue management
Build and own reporting systems for implementation status, customer activity levels, issue escalations, and open action items.
Coordinate internal response during high-priority escalations: track resolution steps, timelines, and accountability.
Ensure structured follow-ups from deployments: validate remediation adoption, training completion, and customer engagement.
Systematization & documentation
Maintain shared visibility into execution: build dashboards, write playbooks, and track decisions that impact customer success.
Help drive internal alignment on priorities, especially where product, delivery, and customer success intersect.
Own the operational checklist for new deployments and expansions.

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.

Were looking for a Senior Product Designer to own the design of how analysts, investigators, and decision-makers interact with complex AI systems in high-stakes, data-dense environments. Youll be the first designer in the Sovereign AI division - which means youll defining standards, update or rebuild the design system, and becoming the teams authority on how users experience our products.
Over time, youll develop deep domain expertise in the investigative and analytical workflows our systems support - and that expertise will make you a critical voice in product and technical decisions. Youll work at the intersection of complex data, AI, and national missions - where every design decision carries real weight. We need someone who takes full ownership, moves with urgency, and proactivly.
The Dream-Maker Responsibilities
Own the design direction - Lead the design vision for the divisions products. Youre not executing someone elses spec - youre shaping what these products look and feel like from the ground up.
Become the domain expert - Develop deep fluency in the investigative, analytical, and decision-support workflows our users rely on. Bring that understanding into every design decision and be the voice of the user in product discussions.
Design for high-stakes environments - Create intuitive, user-centered experiences for mission-critical, AI-driven analytical systems where explainability, auditability, and trust are non-negotiable.
Translate complexity into clarity - Turn complex investigative and analytical workflows into clear, structured product experiences that expert users can rely on.
Build the design foundation - Establish and evolve the design system and design standards for the entire Sovereign AI division. Set the bar for quality and consistency as the team grows.
Collaborate across disciplines - Work closely with product managers, engineers, data scientists, and business stakeholders.
Drive the full lifecycle - From concept and prototyping through execution and postdeployment iteration - you own it end-to-end and push for continuous improvement.
Communicate with impact - Present design rationale and trade-offs clearly to senior stakeholders and cross-functional partners.

As a Cloud Alliance Manager, you will lead and support software vendors to optimize their strategic partnership with the major cloud providers, build a scalable co-sell channel, drive marketing activities, and maximize additional benefits for your customers.

The ideal candidate will lead initiatives to generate and engage with cloud providers (AWS, Microsoft, GCP) to develop new businesses for his/her managed customers. He/she should be able to think strategically when developing a plan and have a demonstrated ability to execute a particular strategy.

Responsibilities
Manage the cloud partnership between our customers, top-tier software vendors, and the hyperscalers GTM and alliance teams.
Promote sales, business development, partnership, and marketing activities for our customers.
Identify partnership opportunities.
Develop new relationships to grow business and help the managed customers expand internationally.
Think strategically when planning and execute the plan effectively and efficiently to ensure customer success.

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.