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We are looking for an experienced Applied AI/ML Scientist with expertise in building agentic systems and autonomous agents to join one of our R&D. You will be at the core of transforming our supply chain solutions into a fully agentic platform, designing and building agents that autonomously generate analytical pipelines, orchestrate multi-step reasoning, and resolve complex logistics challenges for our customers. You will combine strong machine learning and deep learning expertise with the ability to architect and implement production-grade agentic systems, working closely with engineering, product, and domain experts to push the boundaries of what autonomous AI can do in supply chain.
Responsibilities:
Design and build autonomous agentic systems that generate, configure, and execute analytical pipelines to solve supply chain challenges end-to-end
Architect multi-agent workflows with planning, tool use, memory, and feedback loops, enabling agents to reason, adapt, and improve over time
Develop and integrate ML and deep learning models (e.g., predictive models, anomaly detection, demand forecasting) as core capabilities within agentic pipelines
Research and apply state-of-the-art techniques in agentic AI, LLM orchestration, and multi-agent systems to production use cases
Translate complex logistics and supply chain challenges into agent-based problem formulations, collaborating closely with product and domain experts
Define and implement rigorous evaluation frameworks for agent performance: correctness, reliability, robustness, and edge-case handling
Collaborate with software engineers to productize agentic solutions - including testing, monitoring, versioning, and iterative improvement
Contribute to team practices: reproducible code, experiment tracking, documentation, and knowledge sharing

We are looking for an experienced Applied Data Scientist with expertise in building agentic systems and autonomous agents to join one of our R&D. You will be at the core of transforming our supply chain solutions into a fully agentic platform - designing and building agents that autonomously generate analytical pipelines, orchestrate multi-step reasoning, and resolve complex logistics challenges for our customers. You will combine strong machine learning and deep learning expertise with the ability to architect and implement production-grade agentic systems, working closely with engineering, product, and domain experts to push the boundaries of what autonomous AI can do in supply chain.
Responsibilities:
Design and build autonomous agentic systems that generate, configure, and execute analytical pipelines to solve supply chain challenges end-to-end
Architect multi-agent workflows with planning, tool use, memory, and feedback loops - enabling agents to reason, adapt, and improve over time
Develop and integrate ML and deep learning models (e.g., predictive models, anomaly detection, demand forecasting) as core capabilities within agentic pipelines
Research and apply state-of-the-art techniques in agentic AI, LLM orchestration, and multi-agent systems to production use cases
Translate complex logistics and supply chain challenges into agent-based problem formulations, collaborating closely with product and domain experts
Define and implement rigorous evaluation frameworks for agent performance: correctness, reliability, robustness, and edge-case handling
Collaborate with software engineers to productionize agentic solutions - including testing, monitoring, versioning, and iterative improvement
Contribute to team practices: reproducible code, experiment tracking, documentation, and knowledge sharing

We are seeking an experienced Senior Full-Stack Engineer to join our development team. In this role, you will contribute to the entire product lifecycle, from participating in initial architectural discussions and tech-stack evaluations to the hands-on execution of complex features. We value collective intelligence, and you will be expected to bring your expertise to the table to help design scalable systems and support the team in maintaining high engineering standards.
Responsibilities:
Architecture & Design: Actively participate in the design of new services and system components, providing input on scalability, reliability, and technical feasibility.
Tech-Stack Participation: Contribute to the evaluation of new tools, libraries, and frameworks to ensure our technology stack remains efficient and effective.
Feature Execution: Lead the end-to-end development of robust features, ensuring high-quality implementation across both front-end and back-end layers.
Peer Mentorship: Support fellow engineers through constructive code reviews, technical guidance, and collaborative problem-solving.
Continuous Improvement: Assist in identifying areas for technical improvement within our codebase and development processes, helping to implement best practices.
Agentic Development: Contribute to the team's agentic toolkit by designing reusable components for agent reasoning and skill execution.

Develop your career, get acknowledged for your impact, and work with talented people who love what they do in one of Tel Avivs top SaaS scale-ups!
Enterprise Customer Success Manager (CSM) plays a critical role in building strong, long-term relationships with our enterprise clients. As the trusted advisor and main point of contact for senior stakeholders, youll ensure that our customers realize maximum value from platform while driving measurable impact for their business.
This is a highly strategic and consultative role that requires strong business acumen, excellent communication skills, and proven experience working with senior executives in large, complex organizations. Our Enterprise CSMs are natural leaders who combine analytical depth with customer empathy, helping clients succeed through thoughtful guidance, structured planning, and proactive engagement.
Responsibilities
Own the customer relationship - serve as the primary point of contact and strategic advisor for enterprise accounts.
Drive value realization - ensure clients are maximizing adoption of platform and achieving measurable ROI.
Executive engagement - build trusted relationships with senior stakeholders, delivering insights and recommendations at an executive level.
Customer advocacy - represent the voice of the customer internally, collaborating with Product, R&D, and other teams to drive improvements.
Strategic planning - lead quarterly business reviews, success planning sessions, and ongoing enablement initiatives.
Crisis management & resolution - anticipate risks, troubleshoot issues, and ensure timely resolution with professionalism.
Thought leadership - educate clients on best practices, new capabilities, and industry trends to continuously elevate their marketing maturity.

We are looking for a Program Manager of Applications to lead one of core customer-facing product and technology domains.
This is not a traditional Product Management or Engineering Management role. You will run the domain as a small business within , with end-to-end accountability for product direction, technology, people, execution, customer value, and business outcomes.You will lead a multidisciplinary organization of 20+ people across Engineering, Product, and Design/UX, with the authority to shape the team and operating model required to succeed. We are looking for a leader who can move naturally between product strategy, customer needs, technology, execution, and people leadership - and who is comfortable making difficult trade-offs and being accountable for the outcome.