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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

In this role on our AI team, you'll build and scale core AI systems that power our products. You'll work across agentic document intelligence, autonomous agents, compliance AI, and ML-powered insights, prototyping quickly, building robust evaluations, and shipping production-grade AI with real business impact.

What You'll Do:
Build and ship AI/ML solutions using LLMs, agents, RAG, and document understanding models, alongside classic ML.
Prototype quickly, validate feasibility, and turn strong POCs into production systems.
Evaluate models and architectures, apply testing and guardrails to improve agent and service reliability.
Research and apply emerging techniques: multimodal/document AI, agentic frameworks, synthetic data generation, and new architectural approaches.
Work cross-functionally with product, R&D, and compliance teams to deliver end-to-end solutions.
Contribute to scalable, secure architecture and engineering best practices for AI delivery.

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.

In this role on our AI team, you'll focus on agentic workflow automation. You'll design, build, and deploy reliable AI agents that automate complex HR, payroll, and payment workflows, handling decision-making, document intelligence, and complex tasks that typically require human judgment.

What You'll Do:
Design and build agent-based systems that automate document processing, business insights, and complex enterprise workflows.
Build observability, evaluation, and feedback loops for agent behavior to improve reliability, accuracy, and trust in production.
Own the technical architecture and engineering standards for agentic systems.
Build or manage data pipelines to process large volumes of documents and unstructured data.
Collaborate with domain experts to identify high-value automation targets and deliver end-to-end solutions.
Stay current on agent frameworks, LLM capabilities and limitations, and apply emerging patterns pragmatically in production.

we are looking for a AI/ML Applied Researcher.
As AI Applied Scientist, youll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore, research, and develop cutting-edge solutions that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team, you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, and stay at the forefront of the technologies in the world, witnessing firsthand their impact on our customers.
A Day In Your Life:
Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models.
Research, design, and build anomaly classification, predictive, insights, recommendations, and other types of models from various data sources, including sensor time-series data, textual data, images, and more.
You will Ensemble multi-modalities by exploiting and enriching the most from our data collections platform and feature extraction and store phases, using classic statistical methods, deep learning, Transformers, Graphs, Foundations Modules (as TSFM, Graph Transformer, TGNN), and any available technology to extract recommendations for taking real-world, life-changing actions.
Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data.
Work with cloud-based big data platforms for training, distributed processing & experiments tracking (e.g., Metaflow, Grafana, Outerbounds, Databricks).
Partnering and contributing to modern technologies: LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis.
As part of our hybrid working policy, you will be expected to work from the office at least twice weekly, which includes at least one day in Haifa.

You are a Senior AI Software Engineer looking to join a GenAI Infrastructure team and build production-grade GenAI capabilities and the infrastructure behind them. You will be a hands-on engineer focused on AI agents, RAG pipelines, tool-calling workflows, backend services, data access layers, evaluation, observability, and reusable GenAI infrastructure used across product teams. You will not be focused solely on model research or prompt design. Instead, you will be a strong software engineer who can design, build, ship, and operate reliable AI-powered systems in production.
A Day In Your Life
Build reusable infrastructure, SDKs, and internal frameworks for AI-powered product capabilities.
Design and implement AI agents, RAG flows, tool-calling workflows, and LLM orchestration pipelines.
Build production-grade GenAI services, APIs, and backend infrastructure.
Integrate LLM workflows with internal microservices, data platforms, vector search, and event-driven systems.
Design secure data-access patterns that enforce authorization, tenant separation, and user-level scope.
Implement evaluation, tracing, monitoring, and quality-control mechanisms for GenAI systems.
Improve latency, reliability, fallback behavior, cost efficiency, and production readiness.
Work on customer-facing AI experiences, including conversational and proactive agentic product flows.
Collaborate with backend engineers, product managers, data engineers, AI/ML engineers, and domain experts.

We are looking for an experienced Senior Technical Services Engineer to join our dynamic team based in Israel. You will play a critical role in ensuring the smooth operation of our technical infrastructure and product flows. Your responsibilities will include providing tier 3 technical support for escalated issues, taking charge of building monitors, maintaining continuous vigilance over the production environment, and taking the lead in coordinating incident response efforts across different departments.
A day in the life and how youll make an impact:
Lead cross-functional efforts to identify, analyze, and address intricate technical challenges, fostering seamless collaboration between various support teams and engineering units. Additionally, assume responsibility for addressing complex support tickets and ensuring adherence to stringent SLAs, all while maintaining a commitment to meeting service level objectives.
Lead cross-functional efforts to tackle complex technical challenges, ensure smooth collaboration between support and engineering teams, handle complex support tickets, and meet SLAs.
Continuously monitor diverse processes across our systems, proactively identifying potential issues before they escalate. Additionally, engage in thorough research of issues arising from these monitoring activities and collaborate closely with the R&D team to develop effective resolutions. Simultaneously, contribute to ongoing improvements to our monitoring systems to elevate their efficacy and reliability.
Monitor system processes to spot potential issues early, research problems, collaborate with R&D for solutions, and enhance our monitoring systems.
Take an active role in incident management efforts while also contributing to continuous improvements in R&D processes. Diligently track key metrics and maintain proactive oversight to ensure sustained optimization.
Develop monitoring tools and drive process improvement initiatives to ensure smooth system operations and enhanced operational efficiency.

we are looking for a talented Developer Support Engineer (suitable for a Student Position) to join our team to help us support our growing global customer-base.
we turn logistics from a bottleneck into a strategic advantage. Our unified platform transforms fragmented operations into seamless, scalable execution empowering businesses to meet demand with speed and precision.
RESPONSIBILITIES:
Investigate & Resolve technical issues escalated from support agents.
Identify the root cause for issues.
Analyze system logs and dashboards to streamline troubleshooting.
Develop scripts for debugging and automating.
Reproduce customer scenarios for resolving relevant bugs/features.
Maintain and improve a knowledge base of known issues and solutions.
The position includes liaising with CS, QA, Delivery and Sales teams.

We are looking for a passionate Frontend Engineer with expertise in Angular to help us build world-class solutions. As part of our dynamic team, you will have the opportunity to shape the user experience, ensuring our platform is efficient, intuitive, and scalable.
Your primary focus will be implementing new features and maintaining existing code focusing on performance and a responsive pixel-perfect user interface.
The main duties will include creating reusable and testable modules, services, and components using best practices and coupling them into a functional web application while cooperating with the backend and product teams.