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As a Senior Software Engineer you'll help build and evolve our AI Agent platform for IT Service Management. You'll take end-to-end ownership of product features, collaborate closely with cross-functional teams, and deliver AI-powered capabilities for enterprise customers.
What you'll do:
Build and scale full-stack features across frontend, backend, and AI agents.
Develop AI agents using Claude, Gemini, and OpenAI APIs.
Design reliable, scalable, and cost-efficient agent workflows using context management, prompt caching, and tool use.
Define engineering standards and contribute to architecture decisions.
Work closely with product, engineering, and research teams.

As a Full Stack Software Engineer, youll work across the stack to design, implement, and ship high-quality workflows that solve real problems for real users. Youll collaborate directly with product and enterprise customers, see your code in production within days, and be part of a team that values ownership and thoughtful execution.
What youll do:
Develop and deliver full-stack AI-powered applications on top of our companys platform.
Work closely with customers and internal teams to tailor solutions.
Extend the platform and UI/UX layer as needed.
Collaborate with platform and research teams to integrate AI capabilities into production use.
Write clean, tested, and maintainable code.

We're looking for a Group Product Manager (GPM) to lead a team of Product Managers and own a portfolio of enterprise AI solutions delivered on the company platform.
This is a highly ambiguous, fast-paced environment where many problems are not predefined. Working directly with customers, you'll deeply understand their needs, identify the right problems to solve, and lead your team in building solutions that deliver meaningful business value. We work on-site from our offices in Tel Aviv.
You will operate as a product leader with end-to-end ownership, shaping opportunities and driving 0→1 products and POCs from first idea to deployed solution.
What youll do
Lead a team of Product Managers working on complex, high-impact AI solutions for enterprise customers
Work closely with customers to find the right problem to solve (the use case with the clearest ROI) and define the success metrics before building
Operate in high ambiguity, shaping opportunities where requirements are not clearly defined
Drive the delivery of new solutions from early stages to production, making key product and trade-off decisions across speed, stability, and scope
Own a portfolio of solutions across one or more enterprise customers, setting priorities across multiple parallel engagements
Support your PMs in the day-to-day of running their solutions across different customers: help them prioritize, make trade-offs, and unblock them so product implementations and solutions push forward
Balance speed of execution with long-term quality, reuse, and product thinking
Identify patterns across solutions and push for reuse and productization, working closely with the Platform team
Mentor and develop your PMs, growing their product judgment and helping them operate effectively in a fast-paced, ambiguous environment.

Were looking for a Senior Backend Engineer to join our R&D team and lead the development of our core backend systems. You will design and scale the services that ingest, analyze, and correlate massive amounts of data from cloud environments. This work is central to our companys platform and directly impacts our real-time detection, insight generation, and customer experience.
About the role
Youll design, build, and optimize backend services and microservices that operate at scale and power our companys core functionality.
Youll architect and implement data ingestion and processing pipelines capable of handling high-throughput, high-variance data.
Youll develop systems that detect anomalies, correlate contextual signals, and generate actionable insights for customers.
Youll drive architectural decisions, contribute to long-term system design, and own your services all the way to production.
Youll ensure the platform is resilient, secure, observable, and performant as usage grows.
Youll participate in cross-team design reviews, technical planning, and initiatives to advance engineering standards.
As a key contributor in a high-velocity startup environment, youll influence internal best practices and help shape product direction.

As a Forward Deployed Engineer at our company, you'll work at the intersection of Engineering, Product, and our customers. You'll use your engineering experience to help enterprise customers deploy AI systems into production, solve complex technical challenges, and deliver solutions with real business impact.
What youll do:
Work directly with enterprise customers to understand their business and technical challenges.
Translate open-ended problems into practical AI solutions.
Build production-grade integrations, workflows, and automations across customer systems, APIs, and data sources.
Build and ship customer-facing solutions, not just prototypes or technical designs
Deploy, test, and iterate in real customer environments.
Own customer implementations from discovery through production.
Partner closely with Product and Engineering to improve the platform.
Design and implement LLM-powered workflows and agentic systems for real enterprise use cases.

Join our growing Company that is revolutionizing the banking industry with a cutting-edge platform.
As a Software Engineer, you will play a critical role in designing, delivering, and maintaining software that powers the bank's core financial logic-where reliability, precision, and performance are paramount.
You will have the opportunity to work on industry-defining technology, implement robust processes, and contribute to a culture of excellence.
Responsibilities
Design, implement, and validate robust financial business prosseses and testing infrastructure, primarily using typescript.
Provide technical guidance, mentorship, and code reviews to team members.
Collaborate with customers and internal stakeholders to transform ambiguous requirements into clear, actionable functional specifications.
Work with the team to establish and promote a culture of quality and engineering excellence.
Troubleshoot and resolve issues, ensuring solutions are delivered effectively both independently and as part of a team.

We are looking for a highly skilled Computer Vision & Algorithms Engineer to take ownership of core perception and decision-making modules - bridging the gap between machine learning outputs and real-world robot behavior.
In this role, you will turn noisy, imperfect sensor data and incomplete computer vision outputs into robust, actionable decisions, ensuring reliable system performance in challenging outdoor conditions.
This is a hands-on, high-impact role in an early-stage startup, requiring strong ownership, fast iteration, and comfort working in ambiguous, real-world environments.
What You'll Do:
Own the design, implementation, and validation of perception post-processing and decision-making modules
Transform ML and computer vision outputs (e.g., 3D point cloud segmentation, sensor data) into reliable, structured representations
Develop algorithms for noise filtering, tracking, and spatial reasoning under uncertainty
Design and implement decision logic for robot target selection and behavior
Develop and improve computer vision and 3D perception pipelines for real-world deployment
Work closely with ML engineers to define interfaces, handle uncertainty/confidence, and improve system robustness
Deploy and optimize algorithms on embedded edge platforms (NVIDIA Jetson)
Write production-grade C++ code and prototype in Python
Debug and iterate using real-world flight data and field tests
Lead the module validation within the integrated robot environment and field-test scenarios

As a Creative Brand & Motion Designer, youll join our global creative marketing team, crafting high‑impact videos and motion assets for user acquisition, branding, social media, and more. Youll collaborate with teams across regions and see your work resonate with millions of users worldwide.

From concept and storyboarding to final production, youll be using your proven expertise with cutting‑edge AI tools and leading design platforms to deliver innovative, on‑brand visuals that shape a product experienced by a massive international audience every day.

Please note - applications must include a portfolio!

Responsibilities

Brand Expertise
Maintain design consistency across all channels
Collaborate with cross‑functional teams to reflect brand identity and tone in every asset
Elevate our brands look & feel through static and motion systems and dynamic storytelling

Design & Motion
Conceptualize, design, and animate brand collateral for CRM, acquisition, and product launches-ads, banners, explainer videos, UI motion, social campaigns, and more.
Transform static assets into dynamic, high‑impact motion deliverables.
Bring fresh creative ideas to campaigns throughout the year.

Generative AI Expertise
Already proficient with top AI tools such as Runway, VEO‑3, Weavy, Midjourney, ChatGPT or others-using them to ideate, script, prototype, and produce.
Seamlessly integrate AI workflows into daily production to accelerate output and inspire new visuals.
Stay curious and experiment with emerging tools to keep our creative edge.

Production & Workflow
Deliver assets efficiently while upholding brand standards and creative excellence.
Manage multiple projects simultaneously with strong attention to detail.
Create and refine reusable motion and design systems to enable faster future production.
Clearly communicate ideas, progress, and deliverables to stakeholders for smooth workflows and timely results.

We are seeking a hands-on, business-oriented DevOps Team Lead to spearhead our infrastructure and cloud operations. You will build and maintain the foundational systems enabling our agentic AI ecosystem while leading a team of talented engineers to translate technical capabilities into commercial impact.
Our core technology uses advanced AI predictive models (LTV, churn, and intent). You will ensure the high-performance infrastructure required for autonomous signal engineering and real-time recalibration of these models is optimized for performance and ROI.
In this role, you will bridge the gap between infrastructure excellence and business strategy, ensuring our technical roadmap is optimized for both performance and ROI.
Responsibilities:
Leadership & Hands-on Execution: Manage and mentor a high-performing DevOps team while remaining deeply involved in technical execution, architecture, and troubleshooting.
AI-Driven SDLC: Continue evolving our software development lifecycle by integrating AI-driven methodologies and agentic AI tools to automate delivery, improve code quality, and accelerate release cycles.
Infrastructure Management: Own and optimize our core cloud infrastructure on AWS and our data warehouse environment on Snowflake.
Resource Management & ROI: Take accountability for the cloud infrastructure budget. Monitor costs, manage vendor relationships (SaaS & AI tooling), and ensure all resource allocations drive tangible business value.
Security & Compliance: Enforce rigorous security standards and data privacy protocols across all infrastructure and engineering workflows to protect our product ecosystem.

We are looking for an exceptional Production Troubleshooting & Incident Lead to take end-to-end ownership of complex production incidents in a mission-critical banking environmnt.
This is not a traditional support role.
The person in this position will be expected to quickly understand complex problems, build a clear picture of the incident across multiple systems, identify the relevant components and dependencies, determine the root cause, engage the appropriate engineering teams, and drive the incident through to complete resolution.
Our production environment consists of multiple applications, services, infrastructure components, business processes, and integrations with the Bank's systems. Successful troubleshooting therefore requires both deep technical capabilities and strong system-level thinking.
The ideal candidate is a natural problem solver - someone who is comfortable entering an unclear situation, asking the right questions, connecting information from multiple sources, and rapidly turning uncertainty into a structured understanding of the problem.

we are building a vertically integrated AI neocloud from the electron up. Because we own the entire stack-from clean energy generation to the GPUs running customer training jobs-we treat power as a control input, not a constraint. To support our massive scaling vector from 30,000 accelerators to 300,000 without a linear growth in headcount, we are building the Cloud Availability Platform Engineering (CAPE) organization. CAPE serves as the horizontal reliability spine beneath all of our company Cloud. As the founding Engineering Manager, Production Engineering in Tel Aviv, you will stand up our local presence from scratch, driving a cultural shift from reactive firefighting to software-defined engineering.
This is a hybrid leadership and technical role where you will hire, scale, and lead a local team of exceptional systems generalists while remaining deeply hands-on in the code and incident response. You will ensure that your team spends at least 30% of their bandwidth on strategic automation, tooling, and firmware optimization primitives to prevent the operational treadmill. If you want to bridge core software layers with physical infrastructure and write the playbook for an entire engineering site, this founding seat is for you. This is a full-time position located in Tel Aviv, Israel.
What Youll Be Working On
Team Leadership & Founding Culture: Recruit, mentor, and establish a high-performing Production Engineering footprint in Tel Aviv, setting an uncompromising cultural standard for operational discipline and systems-first engineering.
Incident & On-Call Ownership: Partner with US and Dublin teams to run a follow-the-sun global on-call rotation, while championing a strict blameless post-mortem culture that targets systemic failures over human error.
Software-Defined Operations: Drive alert-reduction initiatives to improve fleet signal-to-noise ratios, automate routine manual workflows using modern runbook automation (e.g., Temporal), and build predictive monitoring to catch SEV1/SEV2 events before customers do.
Collaborative Governance: Act as the ultimate Production Gatekeeper across cross-functional compute, storage, networking, and platform teams, holding a strict line on Production Readiness Reviews and change control.
Strategic Reliability Engineering: Protect team bandwidth to ensure engineers spend at least 30% of their time on strategic automation, tooling, and firmware optimization primitives rather than drowning in incident response.
Physical-to-Digital Automation: Instill a software-first approach to physical problems, ensuring that any physical intervention occurring twice is successfully converted into a software-defined auto-remediation.

We are looking for an exceptional Junior Software Developer who wants to grow fast, take ownership, and make an impact from day one.
Location: Givat Hen, Israel
Employment type: Full-time
Work model: Office-based, 5 days per week
Who You Are:
Computer Science / Software Engineering graduate, or a final-year student in a relevant degree program
Strong academic performer with a grade average of 85+
Highly independent and self-managed
Takes ownership and drives tasks from idea to execution
Strong problem solver who learns quickly and gets things done
Team player with a no-ego attitude
Comfortable stepping outside the office for field tests and hands-on work when needed

We're looking for an Infrastructure Engineer with a strong backend engineering mindset - someone who treats infrastructure as software.
In this role, you won't just operate infrastructure - you'll design systems, write code, and build controllers and automation that power our Kubernetes-native platform.
You'll work closely with platform, DevOps, and backend teams to create scalable, reliable infrastructure abstractions used by hundreds of developers.
What Youll Do:
Design and build backend-driven infrastructure workflows using Kubernetes controllers and declarative patterns.
Develop automation and tooling in Go or Python to manage infrastructure at scale.
Manage AWS resources through Kubernetes-native approaches (ACK or similar controller models).
Develop internal APIs, scripts, or services that improve developer workflows and platform capabilities.
Operate and evolve multi-cluster Kubernetes environments with a focus on automation and reliability.
Implement observability patterns and integrate monitoring signals into infrastructure logic.
Collaborate with backend engineers to design infrastructure that behaves like software - versioned, testable, and automated.

We are looking for a motivated and detail-oriented Junior Mechanical Designer to join our growing engineering team. This is a great opportunity for someone at the beginning of their career who is passionate about product design, mechanical systems, and turning ideas into real-world solutions.
You will work closely with senior engineers, product teams, and manufacturing partners to support the design and development process from concept to production.
Responsibilities:
Assist in the design and development of mechanical components and assemblies
Create and update 2D drawings and 3D CAD models
Support prototype development and product testing
Prepare technical documentation and manufacturing files
Collaborate with engineering and production teams to ensure design accuracy
Participate in design reviews and problem-solving discussions
Help maintain engineering standards and documentation consistency

We are looking for a Senior Director, Fraud Prevention & Platform Integrity to continue evolving our fraud prevention and platform protection strategy. This is a senior leadership role for someone who can take an existing foundation and scale it into a broader, more strategic capability as we continue to grow its consumer, business and fintech ecosystems.

The role will lead the strategy, operating model and execution for protecting our users, revenue, fintech flows, business ecosystem and platform trust from fraud, abuse, phishing, account takeover, scams, financial crime and emerging threats.

Responsibilities
Continue evolving our fraud prevention and platform integrity strategy across fintech, payments, business messaging, subscriptions, partner ecosystems and platform abuse scenarios.
Lead and mature the operating model for fraud prevention, AML risk signals, financial-crime controls, investigations, escalation, measurement and response.
Own the strategy for detecting and reducing payment fraud, scams, account abuse, phishing, account takeover, suspicious behavior and other emerging risk patterns.
Build on an already high-performing platform integrity function and take it to the next level by scaling trust operations, abuse prevention, account integrity, investigation workflows, and enforcement quality across our global ecosystem
Partner with Product, Engineering, Data, Security, Legal, Compliance, Finance, Support and business teams to align risk strategy with company priorities.
Define requirements for detection systems, risk signals, rules, models, dashboards, case queues, analyst tooling and feedback loops, while working closely with engineering teams that build and operate the platforms.
Use data, automation and AI-enabled workflows to improve investigation speed, detection quality, analyst productivity and operational scalability.
Lead, mentor and develop a team of analysts, researchers and domain experts.
Build executive visibility into key risks, including fraud exposure, prevented loss, financial-crime risk, platform abuse trends, enforcement quality, false positives and response effectiveness.
Represent the function in senior leadership discussions and translate complex fraud, AML and integrity topics into clear business decisions and priorities.