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We are looking for an experienced Data Infrastructure Team Lead to lead our Data Infrastructure team. In this role, you will have formal people-management responsibility for a multidisciplinary team that builds, productionizes, and improves big data and analytics infrastructure. You will be responsible for team delivery, combining technical depth, agile leadership, and an AI-first mindset to help the team build reliable systems, improve how it works, and continuously raise its engineering standards.
Location: Ramat Gan (Bursa area), Israel - Hybrid model
What will you do?
Lead, manage, and develop a data infrastructure team of approximately 5-7 people.
Take responsibility for team delivery, including planning, prioritization, execution, and continuous improvement.
Lead agile ways of working, including scrum-based delivery practices.
Guide the design, productionization, and ongoing improvement of big data and analytics infrastructure.
Partner closely with cross-functional stakeholders across technical, scientific, and business interfaces.
Help the team adopt AI-first engineering practices, including automation and AI-assisted development workflows.
Drive improvements in team processes, technical quality, delivery predictability, and collaboration.
Support architectural and technical decisions across cloud infrastructure, data pipelines, orchestration, and production systems.
Create an environment where team members can grow, contribute, and improve together.

We are a fast-moving startup developing breakthrough digital printing technology for optical lens coatings. We are seeking a highly motivated and experienced Director of Automation to lead our multidisciplinary Automation group. This key leadership role holds disciplinary responsibility over the mechanics, software, control, and electrical engineering teams. The ideal candidate will thrive in a dynamic startup environment, driving the team forward with a strong sense of ownership, excellent interpersonal skills, and a collaborative mindset. You will oversee the development of cutting-edge technologies, manage the delivery of the software and control systems, and ensure successful technological implementations at customer sites.


Key Responsibilities:

Multidisciplinary Leadership: Provide direct management and disciplinary leadership for the mechanics, software, control, and electrical engineering teams.
Delivery Management: Lead and manage complex software and control plans from concept through development to successful deployment.
Technology Development & Innovation: Drive the research, design, and development of new automation technologies to enhance our industrial equipment platforms.
Customer Implementation & Support: Oversee the deployment and integration of new technologies, ensuring seamless implementation at customer site and providing ongoing top-tier support.
Teamwork & Collaboration: Foster a culture of exceptional teamwork and cross-functional collaboration. Work closely with other R&D groups: System Engineering, Process, Materials, Integration & Testing as well as with Operations and Customer support.
Execution & Ownership: Take full ownership of the Automation roadmap. Push projects forward proactively, overcome obstacles in a fast-paced environment, and lead the team to meet ambitious technological and business milestones.

Required Customer-Facing Data Scientist - Demand Forecasting
Demand Forecasting Team:
The Demand Forecasting team is at a pivotal, high-growth stage. We have successfully built our core pipeline and are now aggressively onboarding new, diverse customers. This role is highly dynamic, requiring a blend of technical depth, proactive research, and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.
Responsibilities:
As a key Customer-Facing Data Scientist on the Demand Forecasting team, you will:
Work at the forefront of the data world, focusing on the optimization and deployment of Demand Forecasting models.
Handle complex data science challenges using state-of-the-art techniques relevant to demand forecasting and time series, such as forecasting model ensembling, anomaly detection, feature engineering for trend/seasonality, and causal inference modeling.
Act as a highly communicative partner to our clients, diving deep into their unique datasets to understand the nuances and challenges of their business.
Lead the rigorous testing and application of our core ML pipeline on new customer data, identifying areas where it performs exceptionally well and researching/developing solutions for complex cases where it does not.
Be instrumental in helping our clients achieve their business goals and realize the measurable value of our Demand Forecasting module.
Work within a production and product-oriented environment, ensuring models are robust, scalable, and directly integrated into the clients operational workflow.

Required Senior ML Engineer
Responsibilities:
Work on our core data and machine learning infrastructure, which is at the heart of our offering. You will create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation. All in large scale and completely automated.
Who You Are:
A problem solver at heart, you have a passion for excellence, you love to learn but know when its time to deliver and make ends meet. You arent threatened by a complex, dynamic and demanding environment. There is no I in team, is a motto you believe in deeply and you are always looking out for your peers. You know how to take ownership and drive projects to completion.

Required AI consultant
Responsibilities:
As an AI Consultant and a CS team member, you will work at the technological forefront of the data analytics world by helping our customers adopt and realize business value through AI and Machine Learning. As a CSM you will be the customers key strategic advisor and implementer and you will work with senior stakeholders to:
Identify AI opportunities
Frame and size the value and the business impact AI can help customers realize
Drive the implementation of our software and services by collaborating and managing a cross-functional account team
Ongoing account management and commercial success including value realization analysis, Quarterly Business Reviews (QBRs), Pilot process management, etc.,
Gradually develop business-ML expertise and lend this SME towards our customers and our internal product development
Together with the team, you will continuously help our customers achieve their business goals, reinforce the value of our models, and the ease of using our platform.
When our clients are happy because they see the value, so are we!
The ideal candidate will be value-oriented, enjoys working with customers, analytical and consistently looking to improve their skills.

Required Solution Engineer
The Demand Forecasting team is at a pivotal, high-growth stage. This role is highly dynamic, requiring a blend of technical depth and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.
Responsibilities:
Lead and support customer-facing Demand Forecasting use cases from discovery through deployment
Work hands-on with customer data to design, test, and validate forecasting solutions
Act as a trusted analytical and technical advisor to customers, deeply understanding their business context and datasets
Analyze and explain model outputs and complex analytical concepts in a clear, business-oriented way
Troubleshoot technical and data-related challenges and drive them to resolution
Collaborate closely with Data Science and Customer Success teams, providing structured feedback from customer use cases
Help customers achieve measurable business impact and adoption of our Demand Forecasting module.

Required Predictive Analytics Solution Engineer
Typical Tasks:
Guide and assist customers in utilizing the platform and implementing AI models.
-Help customers understand complex AI concepts, identify relevant use cases, and implement solutions to drive business value.
Address and resolve technical and data-related issues.
Provide valuable feedback to the product team and collaborate to enhance the product.
Analyze model outputs and explain complex ideas in a clear, understandable manner.
Serve as the primary data and technical contact for clients, understanding and addressing their needs.

Our Customer Experience team is looking for an experienced & driven CX Technical Project Manager. This position will report to the VP of Customer Experience.
What Youll Do:
Own, manage, and optimize the CX tech stack, tools, and platforms.
Build, improve, and maintain CX workflows, processes, and SOPs.
Monitor operational backlogs, bugs, and ongoing technical tasks.
Design and implement tools to improve CX speed, quality, and efficiency.
Maintain dashboards, reports, and performance analytics to support business decisions.
Lead A/B testing initiatives across all support channels and deliver insights to leadership.
Manage onboarding/offboarding of CX systems and ensure smooth platform operations.
Handle DSR processes, vendor invoices, and operational tracking.
Analyze CX performance, forecasting, and interaction volumes across channels.
Maintain IVR systems and support global support-site operations.
Collaborate with Product and leadership teams on CX roadmap initiatives.
Continuously identify and remove operational bottlenecks to improve customer experience.
Role located in Ramat HaChayal, Tel Aviv.

We are looking for a high-energy, results-driven Partnerships & Affiliate Manager to lead our expansion in the US market. You will be responsible for identifying, recruiting, and managing high-value affiliate partners, influencers, and strategic brand collaborations.
The ideal candidate is a savvy negotiator with a "sales-first" mindset who understands the nuances of the American consumer landscape and knows how to scale a performance-based program.
Key Responsibilities:
Strategy & Growth: Develop and execute an aggressive affiliate marketing strategy to drive high-volume traffic and ROI-positive conversions.
Partner Recruitment: Proactively scout, vet, and onboard new affiliates, including large-scale publishers, niche bloggers, and loyalty/coupon sites.
Relationship Management: Maintain and optimize relationships with existing partners to ensure we remain their top-performing brand.
Campaign Optimization: Analyze performance data daily to optimize commissions, creative assets, and conversion rates.
Negotiation: Negotiate commercial terms and "flat fee" placements to secure premium visibility on partner sites.
Market Alignment: Ensure all messaging and offers resonate with the US market trends and seasonal shopping behaviors.