לוח משרות דרושים בתל אביב יפו

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.

This role is intended for a Senior DevOps Engineer to join our Infrastructure Engineering team. You will play a key role in designing, building, and operating our cloud infrastructure and developer platforms at scale. You will work closely with engineering teams to drive reliability, cloud cost efficiency, and developer velocity.
Key Responsibilities
Design and maintain large-scale cloud infrastructure on AWS using IaC tools (Pulumi, Terraform)
Lead and improve CI/CD pipelines using Jenkins/GitHub Actions and self-hosted runners
Manage and optimize Kubernetes clusters and containerized workloads
Design and implement network infrastructure - VPCs, subnets, security groups, load balancers, DNS, and traffic routing
Drive Cloud Cost Optimization initiatives (NAT Gateways, VPC Flow Logs, Athena analytics, etc.)
Implement and maintain observability stacks (monitoring, alerting, logging) across production environments
Collaborate with SecOps on security posture, vulnerability management, and compliance
Mentor mid-level DevOps engineers and provide technical leadership
Contribute to the team's GenAI tooling efforts - autonomous agents, cross-repo workflows, and observability
Lead platform reliability initiatives: uptime, SLAs, incident response, and post-mortems
Design and maintain large-scale cloud infrastructure on AWS using IaC tools (Pulumi, Terraform)
Operate and scale data platforms, including Kafka, Airflow, and RDS

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.

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.

At our company, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, Machine Learning, and generative AI within the automotive sector. With over $380.5 in funding and strategic partnerships with industry giants such as Amazon, Hertz, General Motors, Volvo, and CarMax,our company stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence.
We are seeking a highly professional Senior Payroll & GL Accountant to manage our comprehensive payroll cycle and daily bookkeeping for our rapidly growing company (140+ employees). This is a dual-focus role requiring expert-level knowledge of Hashavim / Hilan for payroll processing and NetSuite for financial recording and analysis. The ideal candidate will bridge the gap between human resources and finance, ensuring 100% accuracy in employee compensation and financial reporting.
A day in the life and how youll make an impact: Execute the end-to-end monthly payroll process using Hashavim, ensuring all 140+ employees are paid accurately and on time.
* Manage all interactions with Israeli authorities (Tax Authority, Bituach Leumi) and pension funds. Ensure correct deductions for pension, study funds (Keren Hishtalmut), and social taxes.
* Handle the complete calculation and reimbursement process for employees on active reserve duty.
* Manage onboarding and offboarding (Form 101, Form 161, and termination settlements).
* Monitor and update attendance records and leave balances.
* Oversee employee benefits, specifically the Cibus (meal card) system.
* Prepare and file annual and periodic reports, including Form 126, 106 and 856.
*  Serve as the primary POC for employees, with the ability to address any questions related to payroll.
* Work closely with the HR department on all employee-related financial matters.
* Book and process invoices such as car related, employee meals, communication and other expenses that may be related to employees.
* Record all payroll-related journal entries into NetSuite. Perform monthly reconciliations and provide analytical insights into salary fluctuations and trends.

Required ML Engineering Team Lead - Applied AI Engineering Group
The Dream Job
It starts with you - a technical leader driven to build both the ML platform and the engineering team behind it. You care about reliable infrastructure, great developer experience, and growing engineers through real ownership. You'll set the technical direction for our ML platform - training pipelines, model serving, feature stores, experiment tracking, and compute orchestration - shaping how models reach production 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. You stay close enough to the codebase to debug production issues, unblock your engineers, and make sound architecture calls.
If you want to make a meaningful impact, join our mission and lead the team that builds the ML platform driving Sovereign AI products - this role is for you.
The Dream-Maker Responsibilities
Set technical direction for the ML platform - training pipelines, model serving, feature stores, experiment tracking, and compute orchestration - through RFCs, prototypes, design reviews, and build-vs-buy decisions
Lead and grow a team of ML Engineers - hire, mentor, pair on hard problems, and raise the bar through code and design reviews
Contribute to critical systems, debug production issues, and maintain deep context on the codebase to inform technical decisions
Own operational excellence for model serving - set and enforce SLAs, run capacity planning, and keep compute costs predictable
Establish ML engineering standards - reproducible experiments, automated evals, model packaging, CI/CD for models, and observability
Support the full lifecycle of our models - from training on domain-specific data to low-latency inference powering production systems
Work closely with Data Platform, AI, Data Science, and Product teams - translate business priorities into engineering work and manage cross-team dependencies
Measure and improve developer experience - deploy friction, onboarding time, CI turnaround - as seriously as model performance.

Were building the engine that transforms vulnerability discovery into decisive, automated remediation. If youre an engineer who thrives on moving from idea to impact, youll find your home here.
Our platform bridges security, IT, and operations, automating patch deployment, intelligently prioritizing risk, and empowering proactive threat mitigation.
Recognized by Gartner in the 2025 Magic Quadrant for Exposure Assessment Platforms and named a Major Player in the 2025 IDC MarketScape for Worldwide Exposure Management, we are trusted at scale.
With 800+ customers across 65+ countries, were solving real-world problems in modern environments.
Join our engineering team and build the future of cyber-risk remediation, where security isnt about alerts, its about action.
With us, youll move fast, iterate boldly, and scale globally.
Role Overview
As a C++ Developer on our Agent team, youll design, build, and optimize our real-time endpoint agent using modern C++ across Windows, Mac, and Linux environments. Youll collaborate closely with product, backend, and security teams to drive end-to-end feature development, leveraging deep OS internals knowledge to protect real-world customer environments.
Responsibilities:
Develop a real-time agent (written in C++) that collects massive amounts of data from endpoints, leveraging cutting-edge technologies, and getting familiar in-depth with the OS internals.
Commit to full E2E feature development - from planning to automation.
Design and develop solutions in collaboration with multiple dev teams.