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What you'll be doing
Agent architecture: Design the evolution from today's production single-agent system to a multi-agent one: orchestration, task decomposition, runtime and framework choices, and a migration path that does not break what design partners already rely on.
Agent capability: Own the prompts, context, skills, and tool design that make the agent genuinely good at detection engineering across multiple security platforms, not just plausible-sounding.
Evaluation platform: Build the harnesses, judges, and golden datasets that turn "the agent feels better" into a number, plus the CI gates that keep regressions from shipping.
Reliability and safety: Keep long-running agentic sessions healthy in production, and build the isolation and guardrails required of an agent working inside enterprise security environments.
Production debugging: Work real failures from production traces, and turn each one into an eval case that can never regress silently.
Technical direction: Make the calls on architecture, sequencing, and quality bar and be accountable for the outcome, including raising how AI-natively the whole team builds.
Cross-team partnership: Partner with product and customer-facing teams on what the agent should do, and with platform teams on the data and integrations it depends on.

What you'll be doing
Multi-cloud architecture: Own the design and implementation of our company's multi-cloud architecture across GCP and AWS, including the cross-cloud standards, boundaries, and tradeoffs that keep two providers from becoming twice the complexity.
Infrastructure as code: Build and maintain the entire environment in Terraform, so infrastructure is reviewable, reproducible, and scales without a person in the loop.
Deployment pipelines from scratch: Create the CI/CD foundation that lets a small team ship quickly and safely, with the testing, gating, and rollback paths that make fast releases boring rather than risky.
Kubernetes at data scale: Run and scale the Kubernetes and containerized workloads behind our company's security data processing, where volume, latency, and cost pressure all show up at once.
Security of our own stack: Own identity, access, secrets, network boundaries, and infrastructure hardening to a standard that holds up under customer security review.
Reliability and visibility: Build the logging, monitoring, and alerting layer that tells us something is wrong before a customer does, and make on-call sustainable as the system grows.
Technical direction: Partner directly with the founding engineering team on architectural decisions, and raise the infrastructure and cloud fluency of every engineer who joins after you.

we are looking for a Head of System Engineering.
What will You do?
● Lead, manage, and develop a team of Systems Engineers and Verification & Validation (V&V) Engineers.
● Oversee a full development cycle process of a multidisciplinary system.
● Implement, guide and enhance system engineering and verification methodologies.
● Build and manage multi-project development working plans.
● Control system requirements settings with traceability to MRD.
● Develop and proof a complex, cross-functional system containing Robotic, Mechanical, Electrical, Software, and Algorithm aspects.
● Explore and define solutions and architectures through methodological system engineering tools and know-hows, in a lean fashion.
● Collaborate with the research, engineering, operations, procurement, and NPI teams.
● Coordinate with clients engineering teams and management to ensure efficient implementation and deployment of the product.

we are looking for a Mechanical Engineer.
Description:
Design, develop, and implement mechanical designs.
Design electromechanical mechanisms.
Provide support to production and ensure compliance with deadlines, quality and cost targets.
Collaborate with cross-functional design teams such as hardware, electronics, and software.
Collaborate with outsourced validation and manufacturing partners to ensure timely supply of systems and devices on spec.
Develop electro-mechanical enclosures and packaging.

Were looking for a Senior Frontend Engineer to shape how customers experience our company- from first impression to daily workflows.
This role is for someone who cares about pixel-perfect UI, high quality, and moving fast - without cutting corners. Youll own major parts of the product, work closely with design, and ship features that are both elegant and reliable.
What you will do
Build scalable, production-grade web experiences that set a high bar for UX, quality, and performance.
Take features end-to-end: clarify requirements, design the UI/architecture, implement, test, ship, monitor, iterate.
Drive frontend architecture: component patterns, state management, performance, DX, and maintainability.
Collaborate tightly with Product, Design, and Backend to deliver cohesive experiences and fast iterations.
Raise the bar: improve UI consistency, quality practices, and velocity through good engineering.

We are looking for a highly hands-on Practical Electronics Engineer to join our Manufacturing Engineering team.
The role focuses on developing and maintaining manufacturing test equipment and jigs, troubleshooting electronic and multidisciplinary systems, supporting production and NPI activities, and improving manufacturing processes throughout the product lifecycle.
Responsibilities:
Design, build, validate, and maintain electronic test jigs, fixtures, programming stations, and manufacturing test equipment.
Troubleshoot electronic assemblies, cables, test equipment, and production failures, and support root-cause analysis and corrective actions.
Define test methods, procedures, and acceptance criteria for assemblies and sub-systems.
Prepare wiring instructions, cable drawings, schematics, and technical documentation for production and training.
Support product development, prototype builds, NPI, production ramp-up, and mass production.
Provide DFM/DFT feedback and support system integration, verification, and production testing.
Collaborate with R&D, mechanical, software, quality, operations, production teams, and external suppliers.
Improve product and process quality by enhancing test coverage, equipment reliability, manufacturing processes, and key production KPIs.

We are looking for a Senior Electronics Practical Engineer to join our R&D team and play a key role in bringing our BeeHome robotic hive systems from development to mass production.
This is a highly hands-on role, working closely with mechanical, software, NPI, QA, and operations teams on integration, debugging, and production readiness of complex electromechanical systems.
What You'll Do:
Integrate electronic systems into robotic machines, including embedded boards, motion, communication, and power systems
Debug and troubleshoot analog and digital boards at component and system levels
Design, document, and support cable harnesses for production (schematics, pinouts, routing, labeling)
Lead design transfer to manufacturing, including BOMs, documentation, and ongoing production support
Design and build test setups, fixtures, and validation tools for development and production
Support existing board designs and new product revisions
Work closely with subcontractors, manufacturers, and assembly partners
Perform root-cause analysis on production and field failures and drive corrective actions
Collaborate with R&D, mechanical, software, QA, and operations teams throughout the product lifecycle

Were hiring a Senior AI Analyst to join our Research team and help shape our AI-driven cybersecurity platform. In this role, youll dig deep into how our AI agents perform, uncover whats working and where the opportunities are, and turn that analysis into insights that shape the roadmap, strengthen the product, and drive customer value and growth.

Were a small, experienced, and tight-knit engineering group at our company, building an advanced AI-powered solution for medical research.
Our platform empowers researchers and healthcare organizations to define populations, analyze real-world data, and accelerate scientific discovery responsibly and securely.
Weve been working together for years, driven by a shared mission and a culture that values delivery, ownership, quality, and impact.
Were now looking for another meaningful team member to join us! Someone who loves to build, cares deeply about user experience, and wants to make a real difference in healthcare through technology.
Design and build rich, data-centric web applications used by researchers worldwide.
Work across the stack with a strong emphasis on frontend architecture, performance, and UX, while collaborating with backend and AI engineers.
Deliver high-quality, scalable, and secure software features end-to-end.
Contribute to architectural discussions, product direction, and team culture.
Help push forward a cutting-edge medical AI co-pilot that turns complex data into actionable insight
Be part of a small, highly capable team where every engineer has a real voice and visible impact on the product, the technology, and the mission.
Work with people who care deeply about craftsmanship, collaboration, and purpose - not just shipping features.
Build technology that directly advances medical research and improves lives.
Enjoy autonomy, ownership, and end-to-end responsibility, from concept to production.
Join a company that blends startup agility with a clear, long-term vision to transform healthcare through AI.

We are looking for a Senior AI Platform & Innovation Engineer to join the AI Engineering Group in Tel Aviv.
This role is focused on designing and building the foundational AI platform that powers next-generation AI capabilities across products and engineering teams. You will help shape our AI strategy by building reusable platform capabilities, evaluating emerging AI technologies, and developing production-grade AI systems that enable developers, products, and business teams across the company.
What Youll Do:
Design and build reusable AI platform capabilities used across multiple products.
Architect and implement production-grade agentic systems, including multi-agent workflows, tool orchestration, memory and planning capabilities.
Design and build internal AI platforms such as organizational knowledge (Brain), AI developer tools, autonomous engineering workflows, and shared AI services.
Research, evaluate and integrate emerging AI models, frameworks and developer tools into the platform.
Collaborate closely with Data Science teams to transform research into scalable production-ready AI capabilities.
Design end-to-end AI architectures, from data ingestion and retrieval to orchestration, model integration and production deployment.
Build and operate production AI services using modern cloud-native technologies.
Improve the reliability, scalability and observability of AI systems.
Define engineering standards, reusable patterns and best practices for AI development across engineering teams.
Lead technical proof-of-concepts and drive adoption of innovative AI technologies.
Mentor engineers and provide technical leadership on complex AI initiatives.

Were looking for a Staff Software Engineer to join our engineering team in Tel Aviv. Discovery is a Big Data / AI platform that helps the worlds largest brands understand what matters to their audiences - combining web, video, and social content with TV and commercial viewership data.
What Youll Do:
Plan, implement, and take full ownership of core features across Discoverys backend services (audience targeting, keyword-association search, and the core management API), owning the entire development cycle.
Collaborate cross-functionally with Product, TSE, and DevOps on design and architecture decisions.
Work on the audience-activation layer that bridges Discoverys audience data to downstream targeting systems, including TV, streaming, and commercial viewership signals.
Participate in refactoring system components and modernizing the stack to improve performance and stability.
Lead and mentor other developers, providing guidance on complex, cross-service projects.

We're looking for an experienced Full Stack Engineer to join our growing team and take a key role in building and shaping our web application. Youll own features end-to-end - from design and architecture through development, testing, and production - working directly with customers and stakeholders to deliver a world-class product.
What You Will Do
Own and develop our web application end to end, spanning frontend and backend, from design through production
Build rich, data-driven user interfaces and dashboards using Next.js and React
Design and implement scalable backend services and APIs that power the our company platform
Work with AWS infrastructure, including RDS and ClickHouse, to deliver high-performance data-driven features
Collaborate closely with product, design, and customers to translate complex security workflows into intuitive experiences
Participate in architectural decisions and help define technical direction as an early member of the engineering team
Take full ownership and accountability for features and projects - from ideation to deployment and monitoring.

As a Senior DevOps Engineer at our company, youll build and scale the cloud-native platform behind an AI-native analytics product processing millions of inference requests across multiple LLM providers.
This is a role for someone that can own infrastructure projects end-to-end from Kubernetes and CI/CD to observability and security, while improving developer velocity and reliability at scale.
Responsibilities
Build and scale production Kubernetes infrastructure for AI workloads
Own CI/CD standards and delivery pipelines across teams
Improve reliability, observability, and incident response at scale
Implement secure, scalable IaC foundations (Terraform/Crossplane)
Build internal tooling and self-service workflows to improve DevEx
Drive cloud architecture decisions across availability, performance, and cost.

Our Business Analytics team is looking for a passionate and analytical team player to join us.
In this role, you'll take ownership of the deep analysis behind our brands' performance, turning complex data into actionable business insights. You'll analyze customer funnels, monitor key KPIs, evaluate experiments, and partner closely with cross-functional teams to drive data-informed decision-making.
As part of our AI-first approach, you'll also help shape how analytics is performed across the organization by leveraging AI tools, improving analytical processes, and raising the overall standard of our analytics function.
This is an excellent opportunity for a strong individual contributor who is looking to make a significant business impact without a managerial track.
Responsibilities:
Explore and analyze large-scale data across our sources (internal DWH / Databricks lakehouse, Google BigQuery, GA4, and more) to understand and improve brand and business performance.
Own the deep analysis of each brands funnel and KPIs - explain what drives conversion, AOV/AIV, revenue per visitor and retention/LTV, and pinpoint where the funnel leaks and why.
Run the analysis behind A/B and pricing experiments end to end, and deliver a clear ship / iterate / kill recommendation.
Lead an AI-first approach to analytics - use AI and agents to analyze faster and deeper, and to build self-serve insight for non-analysts.
Shape how the analytics function works - champion high-quality data practices, set standards through best practices, drive standardization and scale, and mentor and guide other analysts.
Generate actionable insights through queries and data-visualization tools (Tableau), and turn them into recommendations that drive business decisions.
Initiate new projects and ideas that anticipate the companys needs.

As a Senior Full Stack Engineer at our company, youll be a core builder owning high-impact product modules end-to-end from design to production, in a hyper-growth environment. Youll lead architecture and performance for data-heavy experiences used by Fortune 500 marketing teams, delivering beautiful, scalable systems at extreme speed.
This role is for someone who naturally becomes the main driver, turning ambiguity into production-ready execution.
Responsibilities
Build end-to-end product modules (frontend, backend, APIs, infra)
Own architecture and delivery from design to production
Build data-heavy systems supporting billions of rows and fast UX
Drive sub-400ms performance via full-stack latency optimization
Create reusable React components and shared frontend patterns
Partner with Product & Design to deliver pixel-perfect features
Lead by example through ownership, execution, and mentorship.