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Were looking for a Junior Fullstack Developer to join our team and play a key role in shaping our product. You'll be responsible for building, optimizing, and scaling our platform using a modern tech stack.
What Youll Do:
Own the end-to-end design and implementation of features
Take full responsibility for projects, from conception to post-deployment, in a fast-paced, collaborative environment.
Improve the scalability and performance of our platform as we grow.
Handle the entire development cycle, including architecture, design, development, and deployment.

We are seeking a highly motivated and qualified Analytical Chemist for a temporary maternity leave replacement position with a strong passion for laboratory work. As part of our CMC team, you will play a central role in the chemical characterization of our products by developing and implementing analytical methods to identify and quantify both known and novel plant-derived compounds.
You will work closely with multidisciplinary teams - including QA/QC, Regulatory Affairs, Tech, and Clinical - to support drug development activities and regulatory submissions, including FDA approval of inhalation technology.
Key Responsibilities:
Operate, maintain, and troubleshoot analytical instruments such as GC/MS, UPLC, and Karl Fischer titrators.
Perform routine and non-routine chemical analyses.
Develop, optimize, and validate analytical methods.
Write and execute protocols related to method development and validation.
Contribute to the preparation of regulatory documentation for drug development submissions.
Support ongoing and future research and development initiatives.
Collaborate effectively with cross-functional teams to advance project goals.

we are looking for a Business Data Analyst.
Responsibilities:
Plan, organize, facilitate, and lead reviews of business requirements with users and developers to ensure accuracy, completeness, and mutual understanding.
Collaborate with vendors to design, develop, and implement Automation solutions using RPA tools such as Automation Anywhere, SQLs, Python and VBA.
Utilize expertise in programming languages such as SQL and Python to perform data analysis and recommend various solutions to improve data accuracy, timeliness, and completeness.
Create data visualizations utilizing tools such as Tableau\Power BI to present and recommend alternative solutions as well as drive data-driven decision-making.
Conduct feasibility studies to determine the technical and economic feasibility of the proposed solution.
Understand and document well-organized, detailed, and concise business requirements by converting the results of data from interviews and conducting own analysis.
Identify opportunities in current processes, conduct GAP analysis to quantify issues, and recommend alternative solutions that will optimize process and/or improve the completeness, timeliness, and quality of the data set.
Coordinate and collaborate effectively with the project team, including but not limited to end-users, product management, evaluations, index, portfolio analytics, quality assurance, project management, and development teams to mitigate and assess project risks, eliminate ambiguities, and meet project deadlines.
Examine current business functions and system capabilities. Identify trends and causations of inaccurate and/or incomplete data sets by conducting in-depth root cause analysis.
Determine efficiencies, accuracy, timeliness, completeness gained from recommended solutions.
Monitor project progress by tracking activity, resolving problems, and publishing progress reports. Prepare production release notes and organize review sessions with RDO and DSG groups to ensure a full understanding of release scope.
Apply problem-solving skills to create innovative workflow resulting in increased productivity.
Write complete and concise test scripts for user acceptance testing. Plan, coordinate, and execute created test cases.
Identify any potential data gaps resulting from the creation of new fields and/or rules. Work with related groups to confirm completion of data backfills required after a production release.
Coordinate closely with the RDO training team to ensure all training documentation is adjusted, and all training sessions are completed before the release rollout.
Mentor junior team members on Automation tools and best practices.
Create working relationships with Data Vendors to understand content and escalate issues.

we are looking for a Reference Data Analyst (Spanish speaking).
The primary purpose of this position is to research, analyze and interpret, client queries within the Reference Data Challenge Resolutions team. The Challenge Resolution team is responsible for handling external client queries, internal stakeholder (account management, sales, product, pricing and production teams) queries and reporting and analyzing trends based off the results of these queries. The focus will be to deal with more complex queries from various external and internal sources; to update and maintain that data in various internal database and to add value through increased analysis of the queries.
Responsibilities:
Provide customer support for users of ICE products by resolving inquiries in a timely manner
Craft external facing responses for those clients that submitted customer inquiries containing a meaningful, well-thought out, well-constructed answer that includes a restatement of the challenge or question, the analysis completed to satisfy the request and where appropriate, the methodology used to determine the solution
Support our customers by resolving problems by understanding their cause, gathering the relevant information and formulating and implementing a solution with the guidance of the Manager.
Confidently participate in client calls and meetings.
Contribute to the implementation of change in services and systems, and suggest and implement improvements with the guidance of the Manager
To provide support and become an escalation point for queries in the absence of the manager.
Become a subject matter expert on more than one of our internal database/applications.
Compile team statistics and evaluate results
Liaise with other departments such as pricing, product, data collection and account management.
Identify potential new and enhanced reliable sources that can be used to gather data (i.e. a new data vendor provider)
Identify different/more effective/productive ways to use the existing sources with a view to decrease idle time/ increase speed
Provide support on continued development of the SPER query system, including suggesting enhancements and participating in testing.

we are looking for a Senior Sales Specialist.
Responsibilities:
Generate new business by identifying and prospecting new logos, as well as upselling and cross selling into existing clients across the ICE network
Protect Existing Revenue by actively engaging with existing clients, which includes on-site visits, training, feeding through feedback to support and product management.
Perform warm calls to existing clients as well as cold calls to prospects
Conduct outreach, both remote and on-site, to promote the value proposition of ICE products and services
Position and demonstrate ICE products and services with the overall objective to grow revenue and ensure ICE maintains a dominant position in their respective markets
Develop and nurture a network of client relationships
Garner a deep understanding of organizational groups and business priorities of assigned accounts
Collaborate with sales, relationship management and inside sales to identify opportunities and deliver value-added solutions to enhance our clients business
Develop internal relationships across the wider ICE network, including cross-selling opportunities
Maintain clear records of activity including CRM, Call reports, Service Requests and Monthly Activity Reports
Will need to travel across the region on a regular basis (min once a month)

We are looking for a Director, Amazon & Marketplaces to lead our global marketplace business, with full ownership of P&L, performance, and growth strategy across international markets. This role is primarily focused on scaling and optimizing Amazon across Europe and globally, while also overseeing additional marketplaces, including Rakuten. The role also includes management of the Japan marketplace activity, ensuring alignment with global strategy and supporting local team execution.
P&L Ownership & Strategy
Full ownership of global marketplaces P&L, including revenue, profitability, and cost structure Define and lead the international marketplaces performance strategy, with Amazon as the core growth engine Build and manage annual budgets, forecasts, and KPI frameworks
Amazon Leadership (Core Focus)
Own and scale Amazon Vendor Central business across Europe and international markets Lead full-funnel performance: traffic, conversion, and profitability Own Amazon Ads strategy (Sponsored Ads & DSP ), including scaling and optimization Drive content excellence (PDP, A+, Brand Store), SEO, and merchandising
Performance & Growth
Analyze business performance and translate insights into clear, actionable plans Monitor and optimize KPIs including sales, TACOS, ROAS, conversion, and margin Identify and unlock new growth opportunities across markets and categories
Additional Marketplaces (incl. Japan)
Oversee marketplace activity beyond Amazon, including Rakuten Support and guide the Japan team, ensuring alignment with global strategy Monitor performance and identify growth opportunities in additional marketplaces
Execution & Partnerships
Lead agencies ( PPC, DSP, content) with clear KPI ownership Own key commercial moments (Prime Day, Black Friday, launches) Partner cross-functionally with Marketing, Finance, and Supply Chain on pricing, inventory, and promotions

AI Transformation Lead -HO About the Role We are looking for a highly teהבגchnical and hands-on AI Transformation Lead to drive the implementation and adoption of AI across the organization. This is a builder role, not a strategy-only position. You will be responsible for identifying high-impact opportunities, designing and implementing AI-powered solutions, and integrating them into our existing systems and workflows across R&D, Support, Sales, and Operations. The ideal candidate combines a strong engineering background with the ability to translate business needs into scalable, production-ready solutions - and ensure they are actually adopted and deliver measurable impact.
Role Mission Lead the companys AI transformation end-to-end through practical implementation - building, integrating, and scaling AI-driven workflows and internal tools that improve efficiency, quality, and business performance across all departments.
What Youll Do Build & Implement AI Solutions (Core Focus)
* Design, build, and deploy AI-powered workflows, automations, and internal tools
* Develop rapid POCs and evolve them into production-ready solutions
* Work hands-on with LLMs, APIs, and automation frameworks
* Ensure solutions are scalable, maintainable, and aligned with system architecture
Integrate with Systems & Architecture
* Integrate AI solutions into existing platforms ( CRM, support systems, internal tools, data flows)
* Design robust integrations using APIs and orchestration layers
* Ensure alignment with engineering standards, security, and data integrity
Drive Cross-Company Impact
* Identify high-value use cases across R&D, Support, Sales, Domain, and Operations
* Translate business workflows into efficient, AI-driven processes
* Partner with stakeholders to ensure solutions solve real problems
Own Adoption & Impact
* Ensure solutions are used, not just built
* Define and track KPIs (efficiency, time saved, quality improvements, adoption rates)
* Continuously iterate based on feedback and real-world usage
Enable & Standardize
* Establish best practices for AI usage across the company
* Guide teams on how to effectively use AI tools in their daily work
* Act as the internal expert for AI workflows, tools, and capabilities

Role Overview We are looking for a highly technical, hands-on Tech Lead to build and lead a Core Engineering Team that operates across all R&D squads. This team will act as a force multiplier - solving complex system challenges, driving architectural improvements, and enabling development teams to move faster with higher quality. This is a deeply hands-on role (50%), combining system design, architecture, and execution in a data -critical, high-scale environment What Makes This Role Different
* Not a feature team - focus on system -level problems
* Not a traditional manager - strong hands-on ownership
* Not advisory - drives and executes real changes in production
* Works across teams - true cross-team impact
Responsibilities: Cross-Team Technical Leadership
* Lead a Core Team working across multiple squads
* Identify system -wide bottlenecks, risks, and architectural gaps
* Drive alignment on engineering standards and best practices
* Partner closely with Tech Leads, Product, and Dev teams Architecture & system Design
* Own and evolve system architecture (Monolith Modular / Services)
* Reduce tight coupling and improve system boundaries
* Lead major refactoring and modernization efforts
* Ensure scalability, performance, and resilience
* Microservice architecture (from modular monolith to microservices) Hands-On Development (70%)
* Write complex production code across services
* Lead by example in code quality and design
* Take ownership of the most challenging technical problems Engineering Excellence & Enablement
* Define and enforce development standards (Code Reviews, Design Patterns)
* Improve observability (monitoring, logging, alerting)
* Build reusable tools, infrastructure, and shared components
* Enable teams to deliver faster with higher quality
* Advantage for AI driven standard validations Mentorship & Technical Growth
* Mentor engineers and Tech Leads across teams
* Raise the engineering bar across the organization
* Support teams in production debugging and solving complex production issues Tech Stack backend : Node.js, (Express,nestJS), PHP (advantage) frontend : React, Redux, React Hooks data : MySQL, SQL, Redis Infrastructure: AWS
* Advantage: Experience with agent frameworks (agentic flows)

we are looking for a PhD Machine Learning Research Intern.
As a Machine Learning Research intern in Tel-Aviv, you will have the opportunity to tackle real world problems by pushing the boundaries of the state-of-the-art, with the goal of publishing your work.
You will join us for a 3-month internship (preferred start date: May) focused on Data-Centric AI. In this project, you will tackle the "glass ceiling" of NLU performance: inherent ambiguity in annotation guidelines and label taxonomies. You will move beyond traditional noise reduction to investigate why human annotators disagree and how these disagreements corrupt "ground truth," directly influencing how we evaluate and improve state-of-the-art models.
Key Job Responsibilities and Duties:
Survey the Landscape: Conduct a comprehensive literature review to synthesize current approaches to data ambiguity, identifying the strengths and limitations of existing methods in handling label noise and taxonomy gaps.
Innovate & Design: Devise novel techniques and metrics to detect, quantify, and resolve inherent ambiguities within NLP datasets and annotation guidelines.
Experiment & Validate: Design and execute rigorous experiments to evaluate your proposed methods, measuring their impact on model reliability and ground truth accuracy.
Publish Findings: Summarize your conclusions and contribute to writing a research paper with the aim of submitting to a top-tier NLP conference (e.g., ACL, EMNLP).
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we are looking for a Senior Machine Learning Scientist I.
As a Senior Machine Learning Scientist, you will work closely with engineers and to design, develop, and evaluate machine learning solutions for scalable, customer-facing GenAI applications. Your work will focus on researching, training, fine-tuning, and rigorously evaluating models leveraging LLMs, recommendation systems, and agent-based architectures, using state-of-the-art techniques. You will drive experimentation, define success metrics, and translate insights into impactful AI solutions that shape the future of intelligent travel products.
Key Job Responsibilities and Duties:
Explore and apply state-of-the-art techniques in multimodal machine learning.
Train innovative ML models (NLP, CV, LLM-finetuning), build algorithms, and engineering approaches to drive business impact..
Coding skills: ensure implementation of reusable frameworks (clean and scalable code).
Conduct data analysis with detailed metrics to evaluate models performance, labels quality, features exploration.
Work closely with machine learning engineers to ensure the model's latency/throughput meets product requirements and ensure deployment of your model to production.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

we are looking for a Machine Learning Engineer II .
As a Machine Learning Engineer, you will work closely with experienced engineers and ML scientists to build scalable, production-grade GenAI applications. Your work will focus on designing, training, and deploying ML systems leveraging LLMs,, recommendation systems, and agent-based architectures, using state-of-the-art technologies. These solutions will directly power customer-facing experiences and play a key role in shaping the future of AI-driven travel products.
Key Job Responsibilities and Duties:
Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, chatbots, translation or other innovative applications.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.