Jobs in Netanya

Description Eitan Medical is a fast-growing international medical device company that develops and manufactures innovative medical equipment. We are looking for a Process Engineer to join our Manufacturing Engineering team. Job Description: The Process Engineer will lead engineering changes and qualify manufacturing processes - on our production floor and at our subcontractors in Israel and abroad - while providing hands-on technical support to production. · Lead engineering changes (ECOs) end-to-end, from definition and impact assessment, through implementation on the production floor, to formal closure. · Plan and execute process verification and validation activities, including IQ/OQ/PQ protocols and reports. · Lead process qualification at subcontractors in Israel and abroad, including new and replaced equipment and production lines. · Support injection molding activities: DFM reviews with the molder, mold qualification and evaluation of samples. · Provide hands-on engineering support to production and final test lines, and define jigs, fixtures and process parameters. · Conduct technical investigations and root cause analysis as part of the NCMR process, and drive corrective actions to closure. · Develop, improve and optimize manufacturing and assembly processes, based on production and yield data. · Work closely with Production, Quality, Regulatory, R&D and Purchasing, and manage internal and external stakeholders. Direct Manager: Engineering Manager. Requirements Must Have: · B.Sc. in Engineering - mandatory; Mechanical Engineering - preferred. · 3-5 years of experience in Process Engineering, Manufacturing Engineering, or a similar production engineering role. · Proven experience leading engineering/process changes end-to-end, from definition through implementation and closure. · Experience with process verification, validation, or qualification activities. · Experience working with external suppliers and subcontractors. · Strong understanding of manufacturing and assembly processes, and proven hands-on experience supporting production. · Practical experience using measurement tools and equipment, and the ability to analyze data. · Strong problem-solving, investigation, and root cause analysis capabilities. · Fluent English - written and verbal, including technical writing Advantages: · Experience in the medical device industry. · Familiarity with FDA, ISO 13485, or other regulated manufacturing environments. · Experience with formal process validation protocols and reports (IQ/OQ/PQ). · Experience with manufacturing technologies such as injection molding, sheet metal & machining processes. · Experience working with, or qualifying processes at, overseas suppliers and subcontractors. · SolidWorks/PDM experience and the ability to read mechanical drawings. · Experience with eQMS systems. · Experience with Lean Manufacturing / Continuous Improvement methodologies. Computer Skills: · Proficiency in Microsoft Office applications, with a good level of Excel for data analysis. Personal Skills: · Strong technical and analytical capabilities. · Hands-on, practical, and solution-oriented approach. · Ability to lead cross-functional processes and drive stakeholders to deliver. · Excellent interpersonal and communication skills. · Self-motivated and independent. · Ability to manage multiple priorities and work effectively under pressure. · Team player with a proactive and continuous-improvement mindset.

Description איתן מדיקל הינה חברה עולמית הצומחת במהירות, המפתחת ומייצרת פתרונות חדשניים למתן תרופות ואינפוזיה לאורך רצף הטיפול – מבית החולים ועד הבית. אנו מחפשים איש/ה מקצועי/ת, חרוץ/ה ובעל/ת יכולת עבודה מדויקת למחלקת הייצור, לתפקיד מלחימ.ה. תיאור המשרה: • ביצוע עבודות הלחמה עדינה של רכיבים אלקטרוניים ומכניים כחלק מתהליך הרכבת ציוד רפואי מדויק. • עבודה לפי נהלי ייצור קפדניים וסטנדרטים בינלאומיים של ה-FDA. • ביצוע בדיקות ויזואליות ותיעוד תהליכי הלחמה בהתאם לדרישות האיכות. • שילוב משימות מגוונות בהתאם לצורכי קו הייצור. • עבודה בצוות ושיתוף פעולה עם ממשקי הייצור והאיכות. דיווח ישיר ל: מנהל משמרת / מנהל קו Requirements השכלה: • 12 שנות לימוד מלאות • תעודת הסמכה בהלחמה (מלחים/ה מוסמך/ת) ניסיון מקצועי: • ניסיון בהלחמה שנתיים לפחות – חובה • ניסיון בהרכבות עדינות – יתרון • ידע בסיסי בעבודה עם מחשב (Word, Excel) • יכולת התמדה, דיוק, עבודה עצמאית וקצב עבודה גבוה

Description Eitan Medical is a fast-growing international medical device company. that develops and manufactures innovative medical equipment. Specifically, we develop infusion pumps and drug delivery systems with their related accessory products. We are looking for a Strategic buyer for our operation department. Job Description: · Managing procurement orders from the request to delivery · End-to-end supplier management for mechanical and electronic components from sourcing through QBR · Managing vendors and delivery plan · Leading cost reduction initiatives · Lead negotiations and long-term agreements with local and international suppliers · Supporting R&D and NPI activities Direct Manager: Procurement Team Leader Requirements · Education: BA degree · Job Skills: o Minimum of 2 years' experience as a buyer in a manufacturing company (Biomed/ Hi-Tech - Advantage) o Purchase experience: taking care of requirements, production trace orders, Invoice approval. o Proven SAP experience in SB1- Advantage o Delivery experience export/ import- Advantage o strong negotiation ability o NPI experience - advantage · Language skills: High English Level

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model — a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data — not personal data — with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. The Role We are looking for an SVP of Product to own and lead our product function. This is a hands-on leadership role for a strong product operator who can drive strategy and execution in equal measure — managing a growing team of Product Managers and different domains SMEs, working closely with customers and internal stakeholders, and delivering complex AI-driven products that create measurable value for the world's leading airlines. This role reports directly to the CEO. What You'll Do • Lead and execute Fetcherr's product strategy and roadmap, ensuring alignment with company goals, customer needs, and commercial priorities. • Manage, mentor, and grow a team of Product Managers, setting clear expectations, building strong product practices, and driving accountability. • Own the full product lifecycle — from discovery and definition through delivery and iteration — working hands-on with Engineering, Data, and Design. • Be the product voice in customer relationships: lead roadmap reviews, gather requirements, and present product direction to enterprise stakeholders. • Partner with Sales and Customer Success to support onboarding, renewals, and expansion by ensuring the product delivers on its promise. • Translate complex AI and algorithmic capabilities into clear, user-friendly experiences and compelling value propositions. • Collaborate with company leadership on business priorities, surfacing product insights that inform strategy and investment decisions. • Drive execution discipline — managing timelines, trade-offs, and delivery in a fast-moving, resource-conscious environment. Requirements • 15+ years of product management experience, with at least 6 years in a product leadership role. • Track record of owning and shipping complex, technical products — ideally involving AI, data platforms, or algorithmic systems. • Hands-on leader who is equally comfortable setting direction and rolling up their sleeves to get things done. • Strong people manager who can coach PMs, build a healthy team culture, and hold a high performance bar. • Customer-facing confidence — experience engaging directly with enterprise buyers, presenting to senior stakeholders, and turning feedback into product decisions. • Solid grasp of UX principles and experience working closely with designers throughout the product process. • Business-minded: understands how product decisions connect to revenue, retention, and company growth. • Clear, direct communicator who can simplify complexity for both technical and non-technical audiences. • Thrives in ambiguity, moves fast, and takes full ownership of outcomes. Why Join Fetcherr • Own the product function at a high-growth AI company solving real problems in massive, complex industries. • Work with cutting-edge technology — and see it directly impact airline revenue and operations at global scale. • Make a tangible difference: your product decisions will show up in P&L results for some of the world's largest carriers. • Meaningful autonomy to shape how the product team operates, what it builds, and how it grows. • A collaborative, low-ego leadership team that values clear thinking, speed, and ownership.

Description Fetcherr builds responsible AI that turns market complexity into measurable profit growth. At its core is the Market Model, a proprietary AI model that delivers granular demand predictions and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data, not personal data, with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic, and Fetcherr delivers a consistent average profit uplift of 7%. Fetcherr Labs is a new unit that takes this engine to mid-size companies, run by agents and delivered inside the tools customers already use, such as Excel and Copilot. Labs is small, flat and senior, and builds with AI agents from day one. You will work directly with the Market Model Lead and report to the Chief of Labs. The role We are looking for a Demand Modeling Scientist who owns demand models end to end: from a new customer's raw history to a model running in production, measured against real outcomes. You will teach the engine how demand behaves in new industries, starting with aftermarket parts, and prove the uplift through live A/B tests with our design partners. What you'll do • Develop and implement state-of-the-art econometric and machine learning models for demand forecasting. • Own the full machine learning lifecycle: data exploration, feature engineering, training, validation, deployment, monitoring, retraining and retirement. • Conduct research and experimentation to improve accuracy, robustness and scalability, and adapt models to new industries and customer data. • Design how models are measured in production, including A/B tests that show the uplift for each customer. • Build with AI coding agents as your everyday way of working: agents write and test much of the code, and you design, review and decide. • Work with data and platform engineers to put models into production on Azure, and keep them explainable and reliable. • Explain complex findings clearly to non-technical stakeholders, including customers and executives. Requirements What you bring • 5+ years of hands-on experience in data science and machine learning, with a proven record of turning models into business outcomes. • Proven experience taking models through the full lifecycle into production: versioning, testing, reproducibility, deployment, monitoring and retraining. • Expertise in time-series forecasting, ideally deep-learning based, preferably in demand prediction or related areas. • Feature engineering, feature importance testing and explainability experience. • Proficiency in Python and its ML and data stack (PyTorch or TensorFlow, Pandas or Polars, NumPy, Scikit-learn, SQL). • Hands-on use of AI coding agents (such as Claude Code or GitHub Copilot) in your daily development, and a strong view on where they help and where they don't. • Master's or PhD in Computer Science, Machine Learning, Statistics, Engineering or a related field. • Excellent communication and collaboration skills. Nice to have • Experience with pricing, revenue management, retail or B2B distribution. • Experience with experimentation and causal measurement (A/B testing, uplift). • Experience with cloud ML platforms (Azure ML or Microsoft Fabric preferred; GCP or AWS also relevant). • Familiarity with workflow orchestration in general (any modern orchestrator). • Publications in top-tier peer-reviewed ML venues (ICLR, ICML, NeurIPS) or strong results in data science competitions. If you want to own demand models end to end, build with agents, and bring a proven AI engine to a whole new market, we'd love to hear from you.

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. We're looking for a Data Scientist to help us grow our advanced analytics team's capabilities. The ideal candidate is a data scientist with a relevant experience who is self-driven, motivated, independent and sharp • Design and operationalize causal-uplift measurement frameworks to quantify the incremental impact of pricing models • Lead data discovery and translate complex multidimensional data into actionable insights related to the pricing algorithms and their outcomes • Conduct research and experimentation to elaborate novel approaches to uplift measuring and a/b testing • Collaborate with revenue managers, data analysts, data engineers in order to encode airline business logic into modeling and technical pipelines At Fetcherr, the Insights & Decision Science (IDS) team is where data meets storytelling. We take the hard work of our AI pricing engine and translate it into something airlines can actually see, trust, and act on — think rigorous statistical analysis with a human touch. If a number moves, we explain why. If a client has a question, we have the answer (and the chart to back it up). Requirements * You have at least 5 years of hands-on data analytics & science experience with proven record of leveraging modeling into business insights * You are proficient in Python (typical data analytics and machine learning stack: pandas, numpy, scikit, statsmodels) * You know to assess the performance and impact of the ML-powered system from business environments perspective * You have great communication and storytelling skills to both technical and non-technical audiences (ability to present to C level stakeholders executives as well) *You are experienced in translating complex client requirements into actionable insights, and ability to present findings and strategies to stakeholders *You are able to provide and recommend innovative solutions and approaches to non-trivial challenges *You’re a team player, ready to help others meeting aggressive timelines and motivate the team to meet the product deadlines *B.SC or Master’s degree in Economy / Statistics / Math or similar (Phd is a plus) You are proficient in using SQL (BigQuery / Dataform / GCP experience is a plus) and git Great if you have them: • Domain knowledge in following industries: airlines, transportation, logistics or vacations • Experience with causal inference, uplift modeling, anomaly detection or pricing algorithms • Knowledge in mathematical optimization

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. We are looking for Customer Support Engineer in our site in Netanya with a strong data background, who can provide ongoing support to our client while monitoring our production pipeline ensuring we deliver within the agreed SLA . You will be an essential part of the frontline support team responsible for providing prompt and efficient support and service to end-users experiencing technical issues with software. The primary responsibility is to ensure the timely resolution of data-related problems and to facilitate effective communication between end-users and higher-level support teams. The ideal candidate has relevant experience in data engineering. This role involves coordinating with various teams, managing schedules, and ensuring that production processes run smoothly and efficiently. Work schedule: The employee will be required to work 5 days a week, spread across the entire week, including Saturday and Sunday, with off-days during weekdays if shifts fall on weekends. The job is shift-based, with shifts occurring both during the day/evening/night and on weekends. What You'll Do: • You will be responsible for maintaining and monitoring data pipelines that power our data science workflows while developing and maintaining production schedules. • Identify potential production issues and work proactively to resolve them. • Communicate any production delays or issues to relevant stakeholders and customers. • Maintain accurate records of production activities, including schedules, bugs and project status. • Coordinate with various departments (e.g., Data, DE, PO) to ensure timely completion of tasks. • Serve as the frontline support and provide prompt and efficient support to end-users experiencing technical issues with the Fetcherr platform. • Troubleshoot problems and offer effective solutions to maintain optimal user experiences. • Collaborate with other teams, including R&D and product management, to resolve customer issues. Requirements • A bachelor's degree in computer science/information. • 1-2 years of experience in providing technical support. • Experience in Python & SQL. • Experience working with pipelines orchestrators, preferably Dagster or Airflow. • Background in Data support - Tier 1/2Proficiency in troubleshooting and problem-solving, with a strong attention to detail. • Excellent service, communication, and interpersonal skills. • English – B2/C1 level • Ability to work independently and collaborate effectively in a team environment. • Ability to work flexible hours, including evenings and weekends if required. Bonus Points: • Experience in aviation, travel tech, or high-frequency dynamic pricing environments. • Experience with Support Ticket Systems (HubSpot, Zendesk). What we offer: • Work in a technology start-up environment. • Work with AI systems. • Employment contract. • Training and integration budget. • Shift-based work schedule covering 5 days a week including night shifts and weekends (the schedule is arranged with the whole team at least one week in advance).

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. The Large Market Model group (LMM) is looking for a Director of Data Science to lead its production engineering, overseeing MLOps, ML engineering and Data engineering. The Director owns the end to end ML lifecycle of the market model, from the data pipelines that feed it, through model training and serving, and on to the monitoring that keeps it healthy once it is live in customer systems. Crucially, the Director is responsible for setting the roadmap across these functions, alongside LMM management and senior executives, and for turning it into work each function can execute. We are looking for a manager who has led high paced, AI first groups, and who has carried deliveries for systems running live in front of customers. RESPONSIBILITIES • Decide priorities across the functions with their leads, and review the technical trade-offs yourself. • Manage the leads who run these functions and hold each of them to what their team has committed to. • Stay close to production. Own delivery dates, reliability, and what happens when something breaks. • Own the infrastructure for model training, serving, and large scale data processing, including its cost. • Decide which numbers (KPIs) the group is measured on, then track them and report them. • Report the group's progress and risks to senior management, to product, and to the commercial teams. • Work with the applied research team to move their results into production. • Hire and keep senior engineers, and decide how the group is staffed. • Set the engineering standards the group works to: CI/CD, automated testing, observability, and model monitoring. Requirements You'll be a great fit if you have: • 8+ years in engineering, with 5+ years leading teams and managers. • Worked in a multi group environment, leading projects that involve inter group dependencies • Production experience with time series forecasting, reinforcement learning, or large scale optimization. • Experience setting the direction for a machine learning or data engineering group • Enough depth in production ML systems to review architecture decisions with your senior engineers. • Experience holding managers to delivery dates and to the numbers their teams are measured on. • Hands-on familiarity with Python, PyTorch, Google Cloud Platform (GCP), and orchestration frameworks such as Dask and Dagster. • A Bachelor's degree in Computer Science, Engineering, Mathematics, or a relevant field. • The ability to explain a technical decision to a commercial audience, and a commercial constraint to your engineers. NICE TO HAVE • An MSc or PhD in Computer Science, Machine Learning, Statistics, Engineering, or a relevant field. • Experience taking a machine learning platform from an early prototype to something a business runs on. • Experience in airlines, travel, revenue management, or dynamic pricing. • Familiarity with real time inference and high volume data processing. If you want to run the engineering group behind models that set real prices in real markets, we'd like to hear from you.

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. The opportunity Our rapid growth into new verticals and markets presents a fantastic opportunity to evolve our platform. We are building on our initial successes by transitioning to a highly scalable architecture that seamlessly supports our expanding customer base across diverse industries. It’s an engineering opportunity to turn a carefully operated platform into a Kubernetes-native, self-service product. The goal is to serve internal customers first and deliver at high velocity with safe, capable self-service solutions aligned with the best practices of platform engineering. It's a leadership opportunity in equal measure: you'll build and grow the team that owns it, and have an impact on how platform engineering is done here as the company scales. What you'll own • Self-Service Enablement: Empower cross-functional teams with secure, automated pathways that accelerate development while maintaining organizational standards. • Architectural Modularization: Evolve our infrastructure into a decoupled, scalable architecture that supports rapid iteration and independent service lifecycles. • Unified Infrastructure Management: Implement a rigorous "Everything as Code" strategy, treating infrastructure, policy, and configuration with the same standards as application software. • Proactive Reliability: Foster a culture of operational excellence through robust observability, clear Service Level Objectives, high operational hygiene and safety. What success looks like: • In 6 months: Lead the transformation to a self-service infrastructure platform. Target a 30% reduction in deployment lead times and a 50% increase in self-service adoption among R&D teams. Implement platform-wide observability and SLO monitoring to ensure 99.9% uptime for core services. • In 12 months: Evolve the Platform Engineering team into a high-scale, autonomous unit that sets the standard for engineering excellence. Define technical domain ownership for core infrastructure and scale the global team. Who you are as a leader: • Your job is to deliver value sustainably — at a pace the team can hold indefinitely, not a sprint to burnout. • You empower, you don't assign. You give people context and autonomy, hold them accountable, and speak less so they speak more. • You build a learning team — retrospectives that turn data into action, postmortems that find root cause without blame, and deliberate work on growing each engineer and killing the bus-factor-of-one. • "The how" is non-negotiable: tested, reviewed, observable, highly available, staging-first. "Done" means in production, serving customers. • You stay hands-on enough to earn technical trust and make hard calls. Requirements What you bring • A strong record in Platform Engineering / DevOps, with deep hands-on Kubernetes in production. • Proven experience leading engineers: mentoring, hiring, and growing a team • Strong cloud-native and Kubernetes-native mindset: you reach for declarative, GitOps, controllers, and abstraction before bespoke scripts. • Fluency in Python, Go, and Bash sufficient to build tooling and review your team's work. • Hands-on with multi cloud at production scale (GKE, Cloud SQL, BigQuery). • Fluency in Infrastructure as Code (Terraform, KCC), Helm, and GitOps delivery (ArgoCD or similar) and opinions on doing them well at scale. • A product mindset toward platform: you treat internal engineers as customers and self-service as the goal. • A point of view on AI-assisted and spec-driven development, and how to make engineers faster with it while keeping change safe to ship. • A culture of learning from failure: blameless postmortems, real root cause, and fixing the system so the same incident can't recur. Nice to have • Multi-cloud experience (AWS / Azure) — GCP is home, but breadth helps. • Policy-as-code (OPA/Conftest, Kyverno) and supply-chain/CI security. • SLO/error-budget practice and DORA-based delivery measurement. • Big Data or MLOps exposure (Airflow, Dagster, Ray, Kubeflow).

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. While Fetcherr initially focused on the airline industry, the company is now expanding into additional verticals, bringing its dynamic AI-driven optimization capabilities to new industries such as travel, mobility, retail, e-commerce, and beyond. We're seeking a highly motivated and client-focused Account Director to manage strategic relationships with key customers across multiple verticals. This individual will serve as the primary point of contact for assigned accounts, ensuring: • Exceptional client satisfaction. • Commercial performance. • Alignment between Fetcherr's product suite and each client's business objectives. Key Responsibilities: • Serve as the day-to-day contact for strategic clients, managing relationships and ensuring high levels of satisfaction and engagement. • Understand client needs and business goals, and translate them into actionable plans that align with Fetcherr's capabilities. • Own execution of client initiatives and projects, ensuring action items are driven to completion, stakeholders remain aligned, and commitments are delivered on time. • Proactively identify opportunities to drive additional value for the client through product adoption, feature utilization, and cross-sell initiatives. • Support contract renewals and commercial discussions, working closely with internal stakeholders to deliver mutually beneficial outcomes. • Coordinate with internal teams (Product, Program, Tech, Support, and Data Science) to ensure successful solution delivery and issue resolution. • Monitor client performance metrics, analyze trends, and provide insights and recommendations for continuous improvement. • Represent the client's voice internally to influence product development and service enhancements. *Willingness to travel frequently to Genoa, Italy for client meetings, QBRs, and on-site engagements (approximately twice a month)** Requirements • Native Italian speaker with full professional proficiency in English — a must. • 10 years of experience in a client-facing commercial role ideally involving customer success, account management, or strategic partnerships. • Strong execution skills with a demonstrated ability to drive complex initiatives from planning through delivery in a cross-functional environment. • Proven track record of getting things done, managing multiple stakeholders, and ensuring accountability across teams. • Strong interpersonal and relationship management skills with the ability to interact confidently at multiple organizational levels. • Excellent communication skills, both verbal and written, including the ability to present effectively to senior stakeholders. • Analytical thinker with the ability to derive insights from data and drive strategic conversations. • Self-starter with the ability to manage multiple priorities in a fast-paced, dynamic environment. • Bachelor's degree in Business, Economics, Aviation Management, or a related field. A Master's degree is a plus. • Experience in Ferry, Cruises, Container Shipping, or logistics is a strong advantage. • Experience working with enterprise clients – advantage.

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. Fetcherr Labs is our new, founder-mode unit bringing that engine to the mid-market. Our agentic solution will be hosted inside the platforms of the world’s major technology and business software giants, the enterprise clouds, CRMs, and productivity suites our customers already live in, so it has to run natively inside each of these ecosystems and speak their language, not just one. It’s a small, flat, deliberately senior team: no layers, no ceremony, high trust, and real ownership. We move at POC speed, ship, and let the results make the argument. If you want to sit in the room where the architecture is decided and then write the code that proves it, this is that room. The role We’re looking for a System Architect to own the technical foundation of the Labs product end to end, from the whiteboard to production on Azure. Working closely with our Chief AI Officer, you’ll translate complex research assumptions and decisioning methodologies into clean, self-service products. You will port the right pieces of Fetcherr’s engine into a lean new stack, make it integrate cleanly across the business environments our customers already run, and lead the coding yourself. This is a hands-on architect role, not an oversight role: you set the design and you’re in the codebase every day. A core part of the mandate is a fully agentic SDLC, building the product with AI coding agents end to end, not just building an agentic product. We expect a small team to ship like a large one by making agent-driven development the default way we design, write, and review code. You’ll define how we do that. What you’ll do • Translate methodology into product. Partner with the Chief AI Officer to turn complex assumptions, math, and decisioning methodologies into clean, self-service products a customer can run without a data-science team. • Own the architecture. Design a scalable, cloud-native system on Azure, covering services, data flow, model-serving and the end-to-end decision pipeline, and keep it coherent as it grows. • Lead the coding. Set the standards, make the hard build-vs-buy calls, and write the core code yourself. You’re the technical center of gravity for the team. You will guide and work shoulder-to-shoulder with the other engineers through the architecture and the code, without managing them directly. Leadership here is by design and example, not by org chart. • Stand up a fully agentic SDLC. Establish how we design, generate, review, and ship code with AI agents end to end: the tooling, guardrails and CI gates that let a small team punch far above its size. • Stand up the environment. Establish a fresh, greenfield Azure environment for Labs on a Kubernetes-native, Everything-as-Code foundation: IaC (Terraform, Helm), GitOps (ArgoCD or similar) and CI/CD from day one. In the early days that means rolling up your sleeves on the platform groundwork (subscriptions, networking, environments), working hands-on alongside Microsoft’s teams to get us live. • Run natively inside the giants’ ecosystems. Design the integration layer so our agentic solution is hosted within the major enterprise-cloud, CRM and productivity platforms, plugging into each one’s native agent and data surfaces so customers adopt it without leaving the tools they already use. • Ship the POC end to end, then harden it toward a production-grade, self-service GA platform. • Set the engineering culture. Define the bar for quality, observability, and cost-awareness for everyone who joins after you. Requirements Who you are • 10+ years in software engineering with vast, hands-on production experience. You have architected, shipped, and run large-scale cloud-native systems in the real world, and that scar tissue is what lets us move fast in the right direction and avoid expensive wrong turns. • Hands-on and current: you architect and code. Strong in Python (our primary language; Go/Bash a plus) and comfortable owning a service from design to production. • Kubernetes-native by instinct (declarative-first, controllers and operators, Docker) with real Everything-as-Code discipline: IaC (Terraform, Helm), GitOps (ArgoCD or similar), and a defined, CI-gated SDLC. • Production-first: you design for reliability, observability, and recoverability, with clear SLOs, sound alerting and blameless postmortems, and you own what you ship. • Real, hands-on Azure depth at production scale. Labs runs entirely on Azure and we are standing the environment up from zero, so this is a hard requirement, not a nice-to-have. You need to know Azure already rather than learn it here. • Experience designing systems that run ML / data-science workloads in production (model serving, feature/data pipelines, inference at scale). • A data-engineering and data-science foundation is a big plus. You are comfortable with data pipelines, feature engineering, and reasoning about data quality, and you can speak the language of the data scientists you’ll build for. • Fluent with agentic development. You have driven real work through AI coding agents and have a point of view on running a fully agentic SDLC well and safely. • A builder’s temperament: thrives with ambiguity, high ownership, and a flat team; makes decisions and moves. • Fluent English for cross-team collaboration and technical documentation. Nice to have • Depth in Azure AI tooling (AI Foundry, Copilot, Fabric), plus a track record integrating across third-party business platforms (CRM, sales, productivity, data). • Deep understanding of pricing systems or decision-support / decisioning systems is a strong plus (also: forecasting, optimization). • Platform-engineering mindset, building secure, automated, self-service pathways for other engineers as internal customers. • Track record taking a 0→1 product from POC to GA, including the messy middle. • Experience standing up MLOps / LLMOps and pipeline orchestration (Airflow, Dagster, Kedro, Ray, Kubeflow). • Policy-as-code and supply-chain/CI security (OPA/Conftest, Kyverno), plus SLO/error-budget and DORA-based delivery practice. The stack you’ll work in Python · Azure (greenfield, our only cloud) · Kubernetes · Docker · Everything-as-Code: Terraform, Helm, GitOps (ArgoCD) · CI/CD · observability & SLOs · orchestration (Airflow / Dagster / Ray) · a fully agentic SDLC. Greenfield, so you’ll help set the final choices. Why this one is different Most architect roles hand you a mandate and a maze of stakeholders. This one hands you a clean slate, a greenfield Azure foundation you’ll stand up yourself, a proven engine to draw from, and a team small enough that your decisions ship the same week. We’re building toward a system that runs on auto-pilot, and you will design the spine of it. If that’s the problem you want, let’s talk.

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. Fetcherr is scaling rapidly, and we are transforming our internal infrastructure into a high-velocity, self-service product. This is a senior opportunity to architect the future of our platform, setting the technical standard for how we deliver services while ensuring reliability and developer independence across diverse global markets. Responsabilities: • Self-service enablement: Build secure, automated pathways that accelerate development while keeping organizational standards intact. • Architectural modularization: Design Kubernetes-native abstractions — controllers and operators — and decouple infrastructure into independent service lifecycles that support rapid iteration. • Everything as code: Treat infrastructure, policy, and configuration with the same SDLC as application software — versioned, reviewed, tested, and CI-gated. • Proactive reliability: Own production through robust observability, clear SLOs, and high operational hygiene; define alerting that fires correctly and lead blameless postmortems that fix the system. Requirements • Strong GCP experience at production scale (GKE, IAM, networking, Cloud SQL/BigQuery). No compromise here. • Kubernetes-native mindset: declarative-first, comfortable with controllers and operators, and a platform-engineering instinct for self-service and separation of concerns. • Everything-as-code discipline: any code ships through a defined SDLC (versioned, reviewed, tested, CI-gated). Terraform (KCC a plus), Helm, GitOps (ArgoCD or similar) in your toolkit. • Software engineering background, or proven strong development ability in Go and/or Python — you write production code, not just glue scripts. • Security awareness baked into how you build: least-privilege IAM, secret hygiene, policy and supply-chain gates, not bolted on after. • Production-first mindset: you design for reliability, observability, and recoverability, and you own what you ship. Nice to have: • Policy-as-code (OPA/Conftest, Kyverno) and supply-chain/CI security tooling. • SLO/error-budget practice and DORA-based delivery measurement. • Multicloud experience (AWS / Azure) — GCP is home, but breadth helps. • Big Data or MLOps exposure (Airflow, Dagster, Ray, Kubeflow). • A point of view on AI-assisted and spec-driven development.

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. About the Role The Finance team ensures our financial operations and infrastructure scale at the same rapid pace as our global business. We manage complex multi-entity operations, cross-border payroll, and rigorous compliance across diverse international markets. At our core, we build and maintain the engine that keeps our global workforce seamlessly supported and financially compliant. That means executing precise local and international payroll cycles, maintaining spotless general ledger entries, and managing relationships with global payroll partners. As we expand across continents, quality, reliability, and attention to detail aren't just nice to have—they're everything. We are looking for a high-energy, experienced Payroll Manager to own local payroll operations and oversee our global payroll ecosystem. You will be a key player at the intersection of Finance and HR, balancing hands-on Israeli payroll management with international entity controls in a fast-paced, high-growth environment. What You’ll Do • Lead end-to-end monthly Israeli payroll processing, ensuring accurate, compliant, and timely execution using Hashavim / Hilan systems. • Supervise global payroll operations, international pay stations, and global entities using Papaya Global and international PEO/EOR solutions (e.g., ADP, TriNet). • Perform thorough global payroll audits, controls, and reconciliations across all international pay stations to ensure local accuracy and compliance. • Prepare, calculate, and post monthly payroll journal entries, accruals, liabilities, and social benefit allocations into the general ledger. • Manage and update pension and benefit-related payroll data in close collaboration with our pension insurance broker, performing ongoing reconciliations. • Collect, review, validate, and update employee payroll records for new hires, role changes, and terminations, including Form 161 and severance calculations. • Review and process attendance, vacation, sick leave, and absence data, ensuring full alignment between HR systems and payroll engines. • Handle regulatory annual forms and tax filings, including Forms 101 and 106. • Partner closely with HR, Finance, and external global payroll providers to streamline workflows and drive continuous process improvements. • Identify discrepancies or complex payroll issues, investigate root causes, and resolve them efficiently while maintaining exceptional employee service orientation. Requirements What You’ll Bring • 7+ years of hands-on experience in Israeli payroll within a fast-paced tech company or high-growth global startup environment. • Certified Payroll Specialist. • Hands-on expertise in Israeli payroll software (Hashavim and/or Hilan). • Experience working with Papaya Global and international PEO platforms (e.g., ADP, TriNet). • Understanding of payroll accounting with practical experience in preparing payroll journal entries and general ledger reconciliations. • Direct experience performing payroll validation, control checks, and oversight for global payroll stations and foreign entities. • In-depth knowledge of Israeli labor regulations, taxation, social security, pension rules, and compliance requirements. • Good working proficiency in English (written and verbal) – ability to communicate effectively in a global environment. • Exceptional accuracy, high attention to detail, strong sense of ownership, and a proactive, driven mindset to thrive in a dynamic AI company. Nice to Have • Bookkeeping / General Ledger accounting certification or practical experience. • Experience with HR and attendance software such as HiBob. • Background in hyper-growth SaaS or AI technology companies.

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. We are looking for a proactive, experienced, and strong-minded IT Team Lead to build, lead, and elevate our global IT function. In this role, you will lead a team of IT professionals responsible for supporting our workforce worldwide, while designing, maintaining, and scaling our core infrastructure, SaaS ecosystem, and security systems.You will combine hands-on technical expertise with strategic vision and leadership—driving IT operational excellence, scaling internal processes, managing vendor relationships, and ensuring an exceptional user support experience across the organization. Key Responsibilities: Leadership & Strategy • Lead & Mentor: Manage, coach, and develop the IT support and systems team, fostering a high-performance, user-centric culture. • IT Operations & Scaling: Set IT strategy, policies, and operational workflows to support company growth across global office locations and remote environments. • Project Management: Plan, execute, and oversee complex, cross-departmental IT projects, system migrations, and infrastructure upgrades. • Budget & Vendors: Manage IT procurement, vendor relationships, hardware/SaaS licensing, and budget allocation to optimize IT expenditure. Infrastructure, Systems & Security • System Architecture: Oversee the architecture, configuration, and security of company IT infrastructure, SaaS applications (Google Workspace, M365, Atlassian, MDM), and network security systems. • Reliability & Security: Ensure system uptime, data privacy, disaster recovery readiness, and adherence to information security standards. • Asset & Lifecycle Management: Drive global hardware/software asset management, automated deployment workflows, and lifecycle tracking. Service Delivery & Governance • Support Excellence: Define and monitor IT SLAs, support queues, and escalation pathways to resolve complex technical issues swiftly. • Documentation & Compliance: Establish and maintain comprehensive IT documentation, compliance protocols, user guides, and IT onboarding/offboarding processes. Requirements Experience & Leadership • 4–5+ years of hands-on experience in IT systems administration, infrastructure management, and technical support. • 1–2+ years of leadership or team management experience (or proven track record as a Senior / Lead IT Specialist) in a fast-paced, Mid side Global startup environment. • Proven experience supporting a global, remote/hybrid employee base. • experience working with CISO, implementing security policies • KPI driven, project management organization Technical Expertise • Cloud & SaaS Leadership: Advanced expertise in cloud environments (Google Workspace, Microsoft 365, Atlassian tools). • MDM & Identity Management: Strong hands-on experience with MDM systems (e.g., JumpCloud, Okta, Jamf, Intune). • OS & Networking: Expert knowledge of Mac and Windows OS, along with strong networking fundamentals (DNS, DHCP, VPNs, LAN/WAN, Firewalls). • Security Standards: Deep understanding of enterprise security best practices, access control, and endpoint protection. Soft Skills & Mindset • Exceptional leadership, communication, and interpersonal skills with both technical teams and non-technical stakeholders. • exceptional user/customer centric approach • Strong strategic thinking, problem-solving, and decision-making capabilities under pressure. • Scripting & Automation skills (Python, PowerShell, or Bash). • Fluent English (both written and spoken). Advantages • Experience supporting MCP / AI / Compute gateway systems (e.g., TrueFoundry). • Experience implementing IT compliance standards (e.g., SOC2, ISO27001). • Experience in hyper-growth tech startups.

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model, a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data, not personal data, with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. The Large Market Modeling (LMM) team is the engine underneath Fetcherr's pricing intelligence. We're the ones who actually build and train the models — taking a chaotic world of market signals, customer behavior, and competitive dynamics and turning them into reliable, production-ready demand models. Other teams at Fetcherr work with the models; we're the ones who bring them to life. Think of us as the team that teaches Fetcherr's AI how people buy — so it can always recommend the right price at the right moment. We are looking for an Engineering Team Lead to lead the MLOps efforts - drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example. You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform. Responsibilities: • Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality. • Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production. • Stay hands-on: contribute to design and code, review work, and set engineering standards. • Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership. • Partner with R&D and other stakeholders to translate research needs into robust, scalable systems. • Help evolve the platform, including our ongoing migration from Dask to Ray. Requirements • BSc or Master's degree in Computer Science, Mathematics, or Engineering. • At least 5 years of commercial experience in Python. • At least 3 years of hands-on commercial MLOps experience in production (not side projects). • Experience managing or leading a team of engineers, with ownership of both people and delivery. • Hands-on experience owning the ML model lifecycle (training, deployment, monitoring, retraining). • Experience with pipeline orchestrators such as Dagster or Airflow. • Experience with a major cloud provider such as GCP, AWS, or Azure. • Experience with distributed computing systems. • Experience with Docker. • Experience with Kubernetes. • Commercial experience writing and maintaining scalable ML systems. • Fluent in English, both written and spoken. Nice to have: • Experience with Dagster (Advantage). • Experience with Dask or Ray (Advantage). • Experience with Spark, including implementing distributed algorithms in Python (Advantage). • Experience with traditional predictive, forecasting, or pricing-optimization ML systems (Advantage). • Experience in aviation, demand forecasting, or price optimization (Advantage). • Good understanding of data structures and algorithms (Advantage).

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. The Large Market Modeling (LMM) team is the engine underneath Fetcherr's pricing intelligence. We're the ones who actually build and train the models — taking a chaotic world of market signals, customer behavior, and competitive dynamics and turning them into reliable, production-ready demand models. Other teams at Fetcherr work with the models; we're the ones who bring them to life. Think of us as the team that teaches Fetcherr's AI how people buy — so it can always recommend the right price at the right moment. We are seeking a talented and self-driven experienced Data Scientist to help advance our machine learning capabilities.This is a key role for someone passionate about leveraging machine learning to solve complex, real-world problems and deliver measurable business impact. Responsibilities: • Develop and implement state-of-the-art econometric and machine learning models for demand forecasting. • Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability. • Collaborate with cross-functional teams (including product, data engineering, MLOPS and Platform) to deploy ML systems in production. • Clearly communicate complex technical findings to non-technical stakeholders, including product leaders and executives. Requirements • 5+ years of hands-on experience in data science and machine learning with a proven record of leveraging modeling into business outcomes. • Proficiency in Python and its ML/data stack (e.g., PyTorch or TensorFlow, Pandas, NumPy, Scikit-learn). • Expertise in time-series forecasting, ideally Deep Learning based, preferably in demand prediction or related areas. • Feature engineering, feature importance testing, explainability based experience. • Master’s or PhD in Computer Science, Machine Learning, Statistics, Engineering or a relevant field. • Solid understanding of ML production workflows (versioning, testing, reproducibility, and deployment). • Excellent communication and collaboration skills. Nice to have: • Publications in top-tier, peer-reviewed ML/AI venues (e.g. ICLR, ICML, NIPS, etc.) • Experience applying ML in domains like finance, trading, revenue management etc. • Familiarity with cloud based solutions on GCP platform (e.g., Vertex AI, PubSub, Cloud Run Functions). • Strong data visualization and exploratory data analysis skills. • Familiarity with code optimization, containerization (e.g., Docker), CI/CD, or cloud-native architectures. • Participation in competitive programming or data science challenges (e.g., Kaggle). If you're excited about building impactful AI systems in a high-growth startup environment, and want to help redefine how industries price, forecast, and optimize, we’d love to hear from you.

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. We are seeking an experienced Algorithm Team Lead - Optimization to lead our data science and data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products. The Price Optimization (PO) team is where insights become decisions. We work with large-scale customer data and market predictions — like demand forecasts — to drive revenue management decisions that actually move the needle. At our core, we build and maintain the decision-making engine. That means designing the data pipelines that bring customer data in, and running it through an optimization engine that simulates the market — weighing competition, pricing constraints, inventory availability, predictive models, and each client's unique business policies — to generate the best possible price recommendations. As the final step before recommendations reach the client, quality, reliability, and attention to detail aren't just nice to have. They're everything. You will lead the team through architecture decisions, development, and deployment of mission-critical systems—while growing and mentoring a high-performing team. Responsibilities: • Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure. • Design, build, and maintain distributed data processing workflows (batch & streaming). • Drive best practices for data quality, validation, testing, and observability. • Own and evolve Fetcherr’s data architecture in alignment with business and product goals. • Manage sprint planning, task breakdown, code reviews, and performance feedback for your team. • Contribute hands-on to key development tasks and architecture decisions. • Recruit, mentor, and grow the data science engineering team. Requirements • Proven experience as a Data Scientist. • Proven experience designing and maintaining large-scale data platforms (hundreds of TBs) • 3+ years of proven experience leading and managing a team of data engineers (people management is required) • 4+ years of experience in data science, including a strong Python programming background, advanced SQL skills, and data modeling experience • Expertise with data orchestration tools (Airflow, Prefect, or Dagster) • Cloud platform experience — GCP preferred (AWS/Azure acceptable) • Familiarity with Docker • Strong communication, mentorship, and collaboration skills • BSc/MSc in Mathematics/ physics/ statistics/ Computer Science. • Fluent English (spoken and written) Nice to have: • Experience with Google Cloud Platform tools (BigQuery, Dataflow, Pub/Sub) • Background working with ML pipelines or data science teams • Understanding of data contracts, lineage, and versioning tools • Knowledge of data structures and algorithms • Experience optimizing pipelines and databases for performance and cost • CI/CD pipelines (GitHub/GitLab) • Hands-on experience with distributed data frameworks (Apache Beam, Spark, or similar) • Exposure to airline, pricing, or GDS systems

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. We’re looking for a Data Analyst with expertise in Tableau to join our growing data analytics team. This role is perfect for someone who thrives on turning data into actionable insights and enjoys working at the intersection of business and technology. At Fetcherr, the Insights & Decision Science (IDS) team is where data meets storytelling. We take the hard work of our AI pricing engine and translate it into something airlines can actually see, trust, and act on — think rigorous statistical analysis with a human touch. If a number moves, we explain why. If a client has a question, we have the answer (and the chart to back it up). Requirements • You have excellent communication and storytelling skills to transform complex datasets into meaningful insights for non-technical audiences. • You have at least 2 years of experience in Tableau(Must), including building reports, creating dashboards, and working with Tableau Prep and overall at least 4 years of experience in data analytics • You’re a team player, ready to support others and ensure deadlines are met. • You are proficient in SQL (BigQuery and Dataform experience is a plus) and have experience working with ETL processes, integrating data from multiple sources. • You are confident working with large-scale datasets and understand how to optimize query logic, indexes, and joins for performance. • You possess strong analytical skills and can break down ambiguous problems into actionable solutions. • You hold a B.Sc. or Master’s degree in Economy, Statistics, Mathematics, or a related field. • You have experience with Tableau Server administration (e.g., user management, performance monitoring, and troubleshooting). • You are eager to continuously learn and adapt to new challenges. Nice to have: • Experience with Python libraries such as pandas, numpy, matplotlib, or plotly. • Domain knowledge in following industries: airlines, transportation, logistics or vacations

Job Overview Perform monitoring and site management work to ensure that sites are conducting the study(ies) and reporting study data as required by the study protocol, applicable regulations and guidelines, and sponsor requirements. Essential Functions • Perform site monitoring visits (selection, initiation, monitoring and close-out visits) in accordance with contracted scope of work and regulatory requirements, i.e., Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines • Work with sites to adapt, drive, and track subject recruitment plan in line with project needs to enhance predictability. • Administer protocol and related study training to assigned sites and establish regular lines of communication with sites to manage ongoing project expectations and issues. • Evaluate the quality and integrity of study site practices related to the proper conduct of the protocol and adherence to applicable regulations. Escalate quality issues as appropriate. • Manage the progress of assigned studies by tracking regulatory submissions and approvals, recruitment and enrollment, case report form (CRF) completion and submission, and data query generation and resolution. May support start-up phase. • Ensure copies/originals (as required) site documents are available for filing in the Trial Master File (TMF) and verify that the Investigator's Site File (ISF) is maintained in accordance with GCP and local regulatory requirements. • Create and maintain appropriate documentation regarding site management, monitoring visit findings and action plans by submitting regular visit reports, generating follow-up letters and other required study documentation. • Collaborate and liaise with study team members for project execution support as appropriate. • If applicable, may be accountable for supporting development of project subject recruitment plan on a per site basis. • If applicable, may be accountable for site financial management according to executed clinical trial agreement and retrieve invoices according to local requirement. Qualifications • High School Diploma or equivalent Degree in scientific discipline or health care preferred. • Requires at least 2 year of on-site monitoring experience. • Equivalent combination of education, training and experience may be accepted in lieu of degree. • Good knowledge of, and skill in applying, applicable clinical research regulatory requirements (i.e., Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines). • Good therapeutic and protocol knowledge as provided in company training. • Computer skills including proficiency in use of Microsoft Word, Excel and PowerPoint and use of a laptop computer and iPhone and iPad (where applicable). • Written and verbal communication skills including good command of English language. • Organizational and problem-solving skills. • Effective time and financial management skills. • Ability to establish and maintain effective working relationships with coworkers, managers, and clients. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

Sales Representative Role purpose Partners with healthcare customers to understand their needs and help more patients benefit from the right treatment, through insight-led, compliant and well-planned engagement, live or virtual, according to what the customer prefers. Key responsibilities • Develop and strengthen professional relationships with General Practitioners (and pharmacists where applicable), working closely with the Area Manager / Team Lead and the local team to achieve project objectives. • Present the product and provide ongoing scientific information and education, in compliance with applicable regulations and company procedures. • Maintain a high level of scientific and regulatory knowledge. • Monitor market developments and regularly share structured market insights and feedback. Experience and requirements • Proven experience in a similar role and knowledge of the GP target audience in the assigned territory. • University degree in a scientific discipline per local legislation. • Solid scientific background. • Languages: Hebrew and English required; Arabic required depending on the region. • Proficiency with digital tools, CRM systems and the Microsoft Office suite. • Excellent communication and negotiation skills; active listening. • Strong results orientation, good organizational skills, analytical thinking and problem-solving. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.