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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.

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'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.

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.

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.

Were looking for an Engineering Tech Lead to help drive some of the most strategic technical initiatives at our company. This is not a traditional Tech Lead role. Were looking for someone who is deeply technical and highly hands-on, but also knows how to think strategically, lead architecture decisions, and represent the company in front of enterprise customers and senior stakeholders. Youll work across multiple teams and domains, partnering closely with Platform, Product, and Engineering teams to design and deliver AI-powered enterprise solutions at scale. One moment you might be deep in architecture or code, and the next youll be in a room with customer executives helping guide critical technical decisions. We work on site from our offices in Tel Aviv.
What Youll Do
Lead architecture and technical direction for strategic enterprise AI initiatives
Work directly with some of the worlds largest enterprises to design and deliver scalable AI-powered solutions
Partner cross-functionally with Platform, Product, and Engineering teams across the company
Stay deeply hands-on with the code and engineering teams
Drive complex technical decisions across scalability, reliability, performance, and system design
Help customers solve real production challenges and build long-term technical trust
Design versatile enterprise-grade solutions across different customer environments and use cases
Influence engineering standards, architecture practices, and long-term technical direction
Operate in a fast-moving, high-ownership environment where execution speed matters.

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.