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* Analyze inventory data and sales trends to forecast future inventory needs.
* Develop and maintain inventory plans to ensure optimal stock levels.
* Coordinate with procurement, supply chain, and production teams to meet production planes & inventory targets.
* Monitor inventory performance and identify discrepancies or overstock/stockouts.
* Manage reorder points, safety stock, and lead times.
* Prepare inventory reports and present findings to management.
* Implement inventory control procedures to reduce excess stock and improve turnover.

Were looking for a high-impact, strategic, and execution-driven Head of Partnerships to lead and scale our performance-driven partnerships ecosystem.
This role is ideal for someone with deep experience in affiliate marketing, search arbitrage, and performance marketing, who thrives in a fast-paced environment and is motivated by growth and measurable outcomes.
In this role, youll be responsible for identifying, onboarding, and managing a diverse portfolio of partners, including affiliates & e-commerce networks, arbitrage networks, and other traffic sources to drive revenue at scale.
Please note:
The first screening interview will be conducted via Zoom.
To be considered for this role, please submit your CV in English only.
Key Responsibilities:
Strategy & Leadership
Define and execute a global partnerships strategy aligned with aggressive growth objectives.
Build and lead a high-performing team across affiliate, arbitrage, and performance partnerships.
Identify and evaluate new partner opportunities and scalable customer acquisition channels.
Partner Management & Growth
Develop and manage relationships with top-tier affiliates, arbitrage networks, and performance publishers.
Design customized partnership models to optimize ROI, margins, and customer lifetime value.
Monitor partner performance and ensure continuous improvement through data-driven insights.
Cross-Functional Collaboration
Work closely with analytics, product, and finance teams to ensure alignment and seamless execution.
Collaborate with legal and finance on partner agreements, deal structures, and payments.
Technology & Optimization
Leverage tracking and attribution tools to measure performance and drive actionable insights.
Use data to guide strategy, troubleshoot issues, and optimize campaign performance across partners.

we are looking for a detail-driven and client-centric Campaign Manager to join our Israel team. In this role, youll act as a critical link between our clients and internal teams, ensuring the seamless setup, execution, optimisation, and performance of advertising campaigns across both self-serve and managed service models.
Youll be at the heart of our campaign management, proactively guiding clients through the post-sale journey, enhancing campaign success, and driving incremental revenue opportunities while collaborating closely with cross-functional teams - the account managers and sales.
The ideal Campaign management (Customer Experience) will be someone who is a true team player and willing to jump to help the IL business team on their day-to-day tasks, projects, and any ad hoc requests that may come up. Additionally, this person should be passionate about Digital Advertising, willing to enter the exciting and growing world of the Ad-Tech industry, committed to taking this opportunity seriously and delivering quality performance.

Are you passionate about discovering exceptional talent and eager to gain hands-on experience in a leading global organization?
we are seeking a dynamic and motivated Talent Acquisition Student position to join our IL People & Culture team for a part-time position (3-4 days) for 6 months in the Netanya office. This role offers an incredible opportunity to play a crucial part in our teams success while learning and growing in a supportive environment.
What will you do?
Support the Talent Acquisition team.
Utilize Advanced Search Techniques: Conduct Boolean searches and use X-ray techniques to find candidate profiles across platforms such as LinkedIn, GitHub, and Stack Overflow.
Conduct screening calls with candidates.
Leverage Social Media Engagement: Create engaging content and campaigns on social media to attract potential candidates to our company and opportunities.
Networking and Relationship Building: Participate in industry forums, online tech communities, and local meetups to network with potential candidates and learn more about where top talent congregates.
Implement Talent Mapping: Assist in mapping talent pools in specific tech areas by researching and compiling information on potential candidates and industry trends.
Craft Targeted Messaging: Develop personalized outreach messages and email campaigns that effectively communicate opportunities and engage technical talent.
Competitive Analysis: Research competitor hiring practices and market positioning to identify opportunities to differentiate and attract talent.
Maintain Candidate Database: Assist in organizing and updating the candidate database to ensure accurate tracking of interactions and potential pipeline candidates.
Be part of a global HR team, raising ideas, improving current processes and constantly thinking in a creative and out-of-the-box way.

We are looking for a Product Manager.
As Senior Product Manager, (Programmatic), you will own the product lifecycle from strategy to execution. You will collaborate with stakeholders across the business to identify market opportunities, define clear objectives, and drive the development of solutions that excite our customers and improve the efficiency and scalability of our programmatic offerings.
Shape the product roadmap:
Gather and analyze needs from internal and external stakeholders, including sales teams, traders, clients and our partners (DSP, platform, etc.)
Identify and explore business and market opportunities through competitive intelligence and market analysis
Define and communicate a strategic product vision and roadmap priorities, ensuring alignment with stakeholders
Maintain a structured roadmap and communicate updates regularly to manage stakeholder expectations and build momentum
Manage product development & roll-out:
Define product requirements and innovative solution design, balancing complexity and value, and support functional decisions with data-driven analysis as appropriate
Define clear objectives and success metrics for each initiative, monitoring progress and performance
Collaborate closely with engineering to execute the product roadmap strategy and ensure qualitative & on-track delivery.
Collaborate closely with project delivery support teams, e.g., product marketing, to define & execute the go-to-market strategy and maximize product adoption
Drive technical innovation & scalability:
Lead the strategy to unify & optimise our programmatic infrastructure, including RTB integrations and PMP management tools
Identify & explore technical & operational strategies / synergies to scale PMP delivery
Define & execute a recalibration strategy for open auction to maximize efficiency and yield, in close collaboration with the data science teams
Oversee the technical onboarding of new DSP & programmatic partners
Ensure robust and optimised technical integrations with existing DSP & other programmatic partners for frictionless & scalable operations

We are seeking an Account Manager to play a key role on our EMEA Performance Account Management Team. The Account Manager will serve as a primary point of contact for existing and new clients in EMEA countries that are seeking to utilise our global network to grow their business, with emphasis on performance buyers in various verticals.
As an Account Manager you will serve both as an expert in our platforms, and as a specialist on conversion-oriented content marketing. You will use these skills to assist key clients build their native advertising strategy, and co-op with them to succeed and grow.
Were looking for someone who is resourceful, bright, curious, proactive, a go-getter, works well independently and as part of a team, and who will be passionate about what she or he does.
What will you do?
As an Account Manager in the Direct Response team, your mission will be to:
Serve as a primary point of contact for performance managed clients along the process of managing an ROI-positive activity: review and consult regarding content & funnels, campaigns setup, management and optimization
Be an originator of ideas and initiatives that can improve performance and help clients scale
Meet and consult regularly with clients to get a clear picture of performance, plans and priorities
Identify strategic opportunities and upsell against them
Carry out kickoff calls and manage onboarding process for new clients
Educate clients about best practices, provide insights from data
Interfaces with other department internally: Content, Product, Account services and others.

We are seeking a skilled and passionate Machine Learning Engineer who combines strong software engineering expertise with a deep understanding of data science and machine learning. In this role, you will be instrumental in developing and improving our ML systems, ensuring that both the underlying infrastructure and the algorithms powering our models are optimized for performance and scalability.
You will collaborate closely with cross-functional teams, including data scientists and software engineers, to implement end-to-end machine learning models that drive impactful business outcomes. Additionally, your work will ensure the continued improvement of our ML platform, which supports algorithmic work across the company.
What will you do?
As a Senior Machine Learning Engineer, your mission will be:
Improve existing ML library & tools allowing to explore and analyze more and more data and provide accurate feedback on the activities.
Create, design, develop, test and monitor your code in production autonomously and reliably.
Design, develop, and implement ML models and algorithms with a focus on robustness, performance, and scalability.
Collaborate with data scientists to identify and apply effective machine learning techniques and strategies for improved system performance.
Mentor other team members to improve their autonomy and Software Engineering skills.
Collaborate with variety of teams for production cases to develop services from design to production.
Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
Keep up to date with the latest Machine Learning technologies to make sure we constantly improve our ML system.