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We are looking for a Planner to join our team. The planner will own assembly planning, material availability, and planning/inventory processes within the Priority ERP system, working closely with Purchasing, Engineering, R&D and Warehouse, and reporting to the Supply Chain Manager. This role is central to building disciplined, scalable planning processes as the company grows.

Key Responsibilities:
Own and operate the planning activities in the company- item records, Bills of Materials (BOM), work orders, and purchase requisitions.
Build and implement MRP processes from the ground up, translating the production plan into timely purchasing requirements based on demand, inventory levels, and supplier lead times.
Track and manage material availability with suppliers, including early shortage identification and proactive escalation.
Manage inventory - stock levels, safety stock, ABC/XYZ classification, prevention of excess and shortages, and support for cycle counts.
Produce regular planning reports: OTD, material availability, critical shortages, work order and PO status, and dead/excess stock.
Build planning KPIs (Schedule Adherence, Material Availability Rate, Inventory Turns, Forecast Accuracy).
Coordinate routinely with Purchasing, Engineering & Production on engineering changes (ECO) and their impact on planning and inventory
Support the S&OP process and medium-term production planning, including capacity planning scenarios ahead of the 2027 ramp-up.
Continuously improve planning and inventory data integrity in the ERP system, and help build structured planning procedures for a start-up/scale-up environment.

Director of AI Product
About the role:
As the AI Product Director for the core components of our AI modeling framework, you will be responsible for defining and driving its product strategy, requirements, and roadmap, as well as lead a team of product managers. By leveraging our AI capabilities and vast data assets, you will spearhead the development of a product designed to empower internal users and external customers to address real-world challenges in drug discovery and development. Partnering tightly with R&D, you will ensure alignment between product strategy, scientific priorities and business objectives. You will advocate for your product both internally and externally, and ultimately be accountable for the value and impact your product delivers.
Location: Ramat Gan, Israel (Hybrid model)
What will you do?
Establish the long term vision and strategy to advance our AI-powered analytical platform to enable our mid and long-term goals
Responsible for defining the comprehensive roadmap and related PRDs for the analytical platform, focusing on optimizing analytical workflows, tackling predictive challenges, and enhancing model interpretability, as well as partner with business, R&D and ops to realize the roadmap
Evangelize the product, creating understanding and alignment across key stakeholders
Drive value creation for analytical platform users by enabling them to leverage our data assets effectively, both internally and in external collaborations
Ensure that our analytical platform development is effectively enabling and accelerating our product, business, and therapeutic goals

Join us as an NPI Engineer and lead the introduction of innovative optical products from concept to production. Work collaboratively across teams to ensure successful launch and integration of new products.
Responsibilities:
Manage the new product introduction process from design to commercialization.
Coordinate with cross-functional teams including design, manufacturing, and quality assurance.
Develop and execute project plans, schedules, and budgets.
Identify and mitigate risks associated with new product launches.
Lead design for manufacturability reviews and provide feedback to the design team.
Oversee prototype development and testing phases.
Ensure compliance with industry standards and regulations.

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.

Based in Tel Aviv (hybrid, three days minimum in office), this role sits at the heart of how our supply business performs, connecting premium publishers to the outcomes they care about.

What you'll be doing
Own day-to-day relationships with a portfolio of publishers across display, CTV, video, and mobile app, serving as their primary point of contact across onboarding, optimization, and growth.
Drive adoption of Perion's supply path ad products and dashboards across your publisher portfolio, ensuring partners are getting full value from the platform.
Identify and act on upsell and expansion opportunities within existing accounts, bringing new Perion products and formats to publishers who are ready for them.
Troubleshoot technical and creative issues as they arise, including bid requests, win rates, bid caching, pricing, and fee structures, working cross-functionally with product and dev ops to resolve them.
Analyze performance reports regularly to surface insights, flag risks early, and make recommendations that improve publisher outcomes and Perion's supply quality.
Build senior-level relationships within publisher organizations, positioning yourself as a trusted advisor who understands their business, not just their account.