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At our company, 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. we are where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Lets build something extraordinary together.
our company's 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. Built as part of a broader sovereign AI platform, our technology is designed to operate in on-premise, private cloud, and air-gapped environments, enabling nations to maintain full control over their data, infrastructure, and AI capabilities. Central to our company's proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.
At our company, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.
Responsibilities
Design and build agentic systems - single and multi-agent workflows with planning, memory, context engineering, and tool use - for both internal automation and product-facing autonomous capabilities operating over long time horizons.
Build and operate the AI platform layer - LLM gateways, prompt management, structured output handling, tool-calling infrastructure, and cost/latency optimization - deployed on Kubernetes, consumed by every team for their agentic work.
Own the agent framework layer - orchestration primitives, execution environments, state management, and sandboxed tool execution - giving every team at our company the building blocks to create and operate their own agents.
Build evaluation infrastructure that gives teams confidence in agent behavior - automated LLM and agent evals for quality, correctness, safety, latency, cost, and regressions, including human-in-the-loop oversight for mission-critical workflows.
Productionize and harden backend services (APIs, gRPC, async workers) that integrate LLMs - with proper error handling, retries, circuit breakers, and high-availability patterns.
Own RAG pipelines and retrieval systems - indexing, chunking, embedding, vector database management, filtering, and relevance tuning for production retrieval.
Optimize performance and cost across the AI stack - model routing, caching, batching, and inference cost management.
Ship shared tooling - libraries, SDKs, agent templates, and documentation - while working closely with ML Platform, Data Platform, DevOps, and other teams across the Applied AI Engineering group. Own architecture, documentation, and operations end-to-end.

At our company, 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. we are where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Lets build something extraordinary together.
our company's 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. Built as part of a broader sovereign AI platform, our technology is designed to operate in on-premise, private cloud, and air-gapped environments, enabling nations to maintain full control over their data, infrastructure, and AI capabilities. Central to our company's proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.
At our company, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.
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.

Founded in Tel Aviv in 2016, UVeye is a computer vision and data company that creates automatic vehicle inspection systems to encourage road safety and increase transparency across the automotive industry. With key partnerships including General Motors, Volvo, and CarMax among others, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, security checkpoints, and more. Want to be an essential part of setting the standard for safety in the auto industry? Check out the description below to see if you’re a great fit!
UVeye is seeking a highly skilled Software Engineer to join our R&D team. The ideal candidate will work closely with hardware engineers to create efficient, reliable, and scalable embedded solutions for various applications.
?Here’s what you’ll be doing:
* Implement C++ and Python software for data processing, system-level orchestration, and image acquisition.
* Acquire and manage data streams from sensors and imaging devices.
* Develop and maintain highly efficient C++ Code in a dockerized Linux environment
* Collaborate with HW & FW engineers to ensure seamless integration between software and hardware components.
* Develop software that interfaces with embedded systems and MCU-based firmware.
* Design and maintain data pipelines to ensure reliable transfer of heavy data (images/video) from the edge device to cloud environments.

Role Purpose
Lead end-to-end program execution and product launch orchestration across R&D, Operations, and Business functions. Manage and develop a team of Program Managers to ensure consistent delivery across all programs. Own the integration between development and commercialization, ensuring alignment to timelines, scope and business targets (margin, volume, readiness).
Key Responsibilities
Lead, develop and manage a team of Program Managers (coaching, performance, structure). Drive execution of multiple cross-functional programs across HW, SW, IoT, App and Cloud and IT. Ensure alignment across R&D, Finance, Operations, Product, Marketing and Regions. Own product launch readiness and Go/No-Go governance. Define and continuously improve PLC (Product Lifecycle) and stage-gate framework. Run executive Steering Committees for prioritization and decision-making. Provide full visibility of risks, dependencies and performance across programs. Embed margin, cost and business trade-offs into program decisions.
Success Metrics 90% programs delivered on time, within scope and budget. Full launch readiness at Go decision (no surprises). High-performing and aligned Program Manager team. Improved time-to-market and execution predictability. Contribution to profitability targets (35% GP mindset).

We're looking for a talented and motivated Support Engineer to join our team!
You will be responsible for troubleshooting, identifying issues, and delivering professional service to our customers.
Responsibilities:
Providing remote Tier 3 support for our Embedded information security solutions to ensure exceptional service delivery to our valued customers. Identifying and efficiently resolving technical issues with a high level of professionalism, ensuring optimal client satisfaction.
Collaborating closely with the IT and information security teams of our clients, fostering strong working relationships, and meeting their specific needs.
Acquiring an in-depth understanding of security solutions from various manufacturers, enabling you to offer specialized expertise and guidance to customers.

Technical Project Manager – Cloud Division abra’s Cloud Division is looking for a mid-level Technical Project Manager to lead cloud-related projects for internal teams and external customers. We are looking for a technically oriented project manager to lead cloud project delivery, drive alignment across teams, and ensure successful execution across AWS and Microsoft Azure environments. The role includes managing end-to-end project delivery, coordinating between cloud architects, engineers, customers, and business stakeholders, tracking timelines and risks, leading meetings and follow-ups, and building clear project routines within the division. We are looking for a strong people person-someone who can build trust, engage teams, drive alignment, and move projects forward without direct authority.

We're looking for a Product Manager to own all of data export products end-to-end. This is a hands-on role with high customer exposure: you'll work directly with enterprise clients to understand their data access needs, partner closely with internal stakeholders across the organization, and ship improvements across multiple product surfaces in parallel. If you thrive on juggling priorities, communicating clearly across audiences, and turning customer feedback into shipped products, this role is for you.
What you'll do:
Own all of data export products throughout their lifecycles, from discovery and definition through delivery, adoption, and iteration
Partner directly with enterprise customers and internal stakeholders to understand data export pain points and translate them into clear requirements
Prioritize effectively across multiple product surfaces and competing stakeholder needs
Drive cross-functional alignment with engineering and business teams to deliver high-quality features on time
Define and communicate product roadmap, trade-offs, and decisions clearly, both to internal teams and customer-facing audiences
Continuously improve usability, reliability, and documentation based on customer feedback and usage data
Strengthen and expand data export products as the foundation for customers' AI and advanced analytics initiatives by ensuring we deliver the right data, in the right format, at the right cadence

We are looking for a Senior Product Manager to join our Analytics team within the Measurement group. In this role, you will own a core analytics domain used daily by global advertisers to measure, interpret, and optimize their marketing performance. You will work at the intersection of large-scale data, attribution complexity, privacy-driven measurement changes, and AI-powered capabilities - shaping how customers understand and rely on their marketing data.
This is a high-impact, highly visible role with direct influence on customer trust, product strategy, and the evolution of AppsFlyers analytics platform.
What youll do:
Own a core Analytics domain end-to-end - from discovery and strategy definition to execution, launch, and continuous improvement.
Define and drive the roadmap for dashboards, metrics, and data experiences serving enterprise marketing teams.
Balance stability, scalability, and innovation in a complex, data-intensive environment.
Lead initiatives that modernize and consolidate analytics capabilities across multiple attribution sources.
Shape the integration of AI-powered capabilities into analytics experiences, enhancing how customers interpret performance data.
Work closely with R&D (Backend, Frontend, Data Engineering) to build scalable, high-performance analytics products.
Partner with Sales and Customer Success to understand customer needs, support adoption, and strengthen trust in our measurement solutions.
Engage directly with customers to validate product direction and identify opportunities to improve clarity, usability, and performance insights.
Drive prioritization in a high-demand environment with multiple stakeholders and competing initiatives.

We are looking for a Senior Support Engineer to join our Israel-based support team. This role is critical to maintaining excellent service for our English and Hebrew-speaking customers, handling complex technical and customer-facing issues independently, and helping the team adapt to the next generation of AI-enabled support workflows.
The ideal candidate is a strong hands-on problem solver, an excellent communicator in Hebrew and English, and a senior team player who can elevate team quality, partner closely with leadership, and contribute to improving our internal tools, AI-based workflows, and support processes.
This is a hands-on senior individual contributor role with broad impact. In addition to resolving complex customer issues end to end, this person will help shape how support operates in an evolving environment that increasingly includes automation and AI-assisted workflows and tools.
What youll do:
Own complex technical and product-related support cases from investigation through resolution.
Provide high-quality support to customers in Hebrew and English across written and live interactions.
Handle ambiguous, high-impact, or cross-functional issues with strong judgment and minimal supervision.
Act as a senior point of contact for escalations, sensitive customer situations, and priority cases.
Mentor teammates by sharing knowledge, setting a high bar for case handling, and helping improve team practices.
Use AI-based tools and internal tools effectively in day-to-day work to improve speed, quality, and consistency.
Help to define, maintain and improve support agents, AI-assisted tools, bots, workflows, automations and documentation to improve support effectiveness.
Identify opportunities to reduce friction, improve self-service, and optimize internal support flows.
Collaborate with Product, R&D, Customer Success, TPE, and other internal stakeholders to resolve issues and improve the customer experience.

As a Field Engineering Manager, you will lead a team of technical pre-sales Solutions Architects and Solutions Engineers in Israel. Your experience partnering with the sales organization will help drive revenue with the right approach whilst coaching sales and pre-sales teams to work together.
You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions, support complex sales cycles, and build relationships with important partners in large corporations.
The impact you will have:
Hire, mentor and grow the pre-sales team in Israel
Build a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture
Support increased return on investment of SA involvement in sales cycles
Ensure a solution and value-based selling within the field-engineering organization
Display an understanding of needs and revenue potential for accounts in the assigned region
Engage with key customer executives to build and strengthen strategic partnerships
Ensure close alignment with partners and internal services to secure implementation strategies within accounts
Continue to build Databricks' brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region

We are looking for an AI-first Software Engineer who is highly product-oriented and excited about building customer-facing systems using modern AI tooling to dramatically increase development speed and operational automation.
What youll do?
Build and ship end-to-end product features (backend, frontend, integrations, automation).
Use AI tools and build the AI infrastructure to accelerate development through scalable workflows, including multi-agent approaches.
Build AI agents that fully automate customer-facing sales and service flows, in a business with a massive volume of textual interactions.

We are seeking an experienced and passionate Senior Full-stack Software Engineer to join our dynamic team. In this role, you will support the development effort of a full-stack team and guide and mentor the other team members. The ideal candidate combines strong technical expertise in modern frontend frameworks with solid backend knowledge, enabling you to guide the team end-to-end. You will play a key role in driving team velocity, fostering best practices, and delivering reliable, scalable, and user-centric applications.
Responsibilities:
Guide the team in building scalable, reliable applications using cloud infrastructure.
Share knowledge and best practices across the R&D department.
Support backend development efforts in Golang and Node.js
Support frontend development efforts with React & TypeScript
Drive continuous improvement in team velocity and delivery quality.
Coordinate with cross-functional teams to align development efforts.
Partner with product managers, designers, and backend/core teams to deliver seamless user experiences.
Contribute to company-wide technical initiatives.
Collaborate on design and implementation of new features and services.