לוח משרות דרושים, לחיפוש זה נמצאו 34,407 משרות

We're a global company with teams across markets and disciplines, working closely with leading players in the payments ecosystem. Our culture is built on clear thinking, collaboration, and a strong sense of ownership. you'll partner with product, engineering, data, success and go-to-market teams to build technology that sits at the core of modern payments, and has a direct, measurable impact on the bottom line for some of the biggest companies in the world. Role Overview The Payments Analyst plays a critical role in ensuring the accuracy, consistency, and integrity of chargeback-related data across multiple platforms and internal systems. This position combines strong research, analytical and technical skills with cross-functional collaboration to support efficient chargeback management operations and enhance data -driven decision-making. This role also acts as a connective layer between Operations and Engineering - translating operational issues into technical investigations, and technical findings back into clear operational context. What You'll Do
* Research payment service providers (PSPs) and acquire knowledge of their data structures, workflows, and reporting standards
* Map, normalize, and validate data from external systems to align with internal data
* Monitor key operational systems, dashboards, and application logs to identify data anomalies, errors, or breakdowns in the chargeback lifecycle
* Serve as a bridge between Operations and Engineering - triage incoming issues, investigate them technically, and escalate with clear, reproducible context when Developer involvement is needed
* Conduct root-cause analysis to resolve data discrepancies and ensure accurate case handling and reporting outcomes
* Query internal databases using SQL to analyze trends and troubleshoot issues
* Collaborate with multiple teams - including product, operations, and engineering - to resolve edge cases, maintain data integrity, and support system enhancement
* Communicate with PSP representatives as needed to clarify data formats, investigate issues, and ensure proper integration
* Leverage AI tools to enhance data processing, research, and workflow efficiency (or demonstrate willingness to adopt new technologies)
* Contribute to internal process documentation and best practices

We're seeking a full-time talented Bookkeeper to join our Finance department.
In this role you will manage the company's bookkeeping activities, including recording financial transactions, maintaining general ledgers, and preparing financial statements.
This is a full-time on-site position, Sunday through Thursday, in Herzliya.

Responsibilities

Bookkeeping until balance sheet
Record daily financial transactions including period close journal entries
Track credit card and bank accounts balances and prepare bank reconciliations
Working with banks on a daily basis
Company travel reports management
Monthly financial reports
Collaboration with the external accounting firm of the company

Were looking for a Technical Integration Manager to join our team and help connect the dots between our business goals and R&D efforts. This hybrid role is ideal for someone who enjoys working between business and technology, combining project coordination with technical understanding.
Youll be the main connection between our business units and R&D - understanding business needs, translating them into clear requirements, aligning priorities, and helping teams deliver successfully. Youll also support product and project activities to move initiatives forward.

Responsibilities

Serve as the main point of contact between business stakeholders and R&D
Translate business needs into clear requirements and technical briefs
Work closely with R&D to ensure alignment on scope, timelines, and delivery expectations
Own development initiatives end-to-end spec, tasks, QA, rollout, and monitoring whether you build them yourself using AI tools, automation and no-code, or hand them to R&D developers.
Write technical specs and acceptance criteria, and manage the work in task management tools.
Guide and train the business departments on new features documentation, walkthroughs, and ongoing support
Coordinate cross-functional meetings, updates, and ongoing communication
Assist in planning and prioritizing roadmaps and project timelines
Track and report on progress, risks, and blockers across multiple initiatives
Solve complex tech problems and support the business departments
Build new dashboards for internal and external users using tools like Google Data Studio, Redash, Tableau and others.

Were looking for a Controller, reporting directly to the VP Finance, to oversee the companys financial operations, ensuring accuracy, compliance, and scalability in a fast-paced AdTech environment.
This role offers hands-on exposure to complex revenue models, high-volume financial operations, and close collaboration with cross-functional teams including BI, Product, and Commercial. As a key member of the Finance team, the Controller will support the VP Finance in driving financial excellence and enabling the companys continued growth.
Great opportunity to join a stable and growing technology company!

Responsibilities

In this role, you will report to the VP finance and will be incharge of FP&A and accounting issue including :
Lead the monthly, quarterly, and annual closing processes, ensuring accurate and timely financial reporting for a number of legal entities and P&Ls
Own revenue recognition processes ensuring compliance with accounting standards in a consolidated view
Manage day-to-day accounting operations, including general ledger, reconciliations, and financial controls.
Manage tax compliance including complex tax structuring and reports.
Group transfer pricing.
Build and monitor budgets and forecasts
Perform financial performance analysis vs. plan
Conduct variance analysis and present insights
Develop end-to-end product costing models
Analyze cost structures across the value chain
Identify cost drivers and variances
Perform profitability analysis by product and activities
Define and track KPIs
Monitor performance vs. targets
Analyze trends and deviations

Were looking for an energetic RTB CSM, a highly motivated, self-starter who is passionate about the AdTech ecosystem and is eager to grow and shape our strategy and future. Come and join our leading, technological Programmatic team!
Great opportunity to join one of our most technological and dynamic departments!
Responsibilities

Serve as the primary point of contact for Supply and Demand partners.
Ensure Mars exceeds partner expectations through regular check-ins and relationship management.
Conduct performance analyses, providing insights to optimize campaigns.
Manage cross-functional projects with internal teams to ensure smooth execution.
Act as a programmatic specialist, advising partners on industry trends and best practices.
Attend industry events to stay updated and strengthen relationships.
Monitor and report on key performance indicators (KPIs) to meet or exceed targets.
Proactively identify opportunities to grow partnerships and drive revenue.

Were looking for an experienced media buyer to lead campaign strategy across various media channels, owning performance, scale, and profitability.
This role requires a data-driven professional who can identify new opportunities, adapt quickly, and turn insights into effective media buying decisions.
Great opportunity to join one of our most technological and dynamic departments!

Responsibilities

Identify, evaluate, and onboard new traffic sources and partners, leading structured testing to validate scale and performance potential.
Own campaign strategy from setup to scale, continuously optimising buying decisions to meet performance and profitability targets.
Analyse performance data to identify trends, opportunities, and risks, turning insights into clear, actionable media buying strategies.

We are a fast-growing start-up company, located in Tel Aviv, with a very strong founding team (Ex-8200, Google, etc.). We are looking for candidates who are passionate about bringing a new feature from ideation to the customers hands, while solving complex challenges and building scalable infrastructure.

What Youll Do
End-to-end development of backend software components (research, design, development, testing, rollout, monitoring).
Contributing to technological and architectural decisions, as part of the core engineering team.
Analyzing and improving efficiency, scalability, and stability of various backend system components.
Working on hard problems like static code analysis with low latency, graph algorithms, complex infrastructure, among others.

We are looking for an experienced and hands-on QA Lead to establish and lead the Quality Assurance function for an advanced Industrial AI platform that combines Industrial Connectivity, Edge Computing, Cloud Technologies, and AI-driven solutions.

This is a unique opportunity to build the QA function from the ground up while taking ownership of quality across a complex and evolving software platform.

The role combines hands-on testing, test automation, quality strategy, process definition, and close collaboration with Software Engineering, AI, and DevOps teams.

Initially, you will be the primary QA professional within the organization, responsible for defining methodologies, building testing capabilities, and ensuring high product quality. As the organization grows, you will have the opportunity to expand and lead a small QA team.

Job Responsibilities
Establish and lead the QA function across the organization's software products.
Define and implement QA methodologies, standards, processes, and best practices.
Create and maintain test strategies, test plans, test cases, and quality metrics.
Design, develop, and maintain automated test frameworks and automated test suites.
Perform hands-on manual and automated testing across software releases.
Validate functionality across Cloud, Edge, and AI-enabled system components.
Test web-based user interfaces, backend services, APIs, and system integrations.
Collaborate closely with Software Engineers, AI and Data Science teams, and DevOps engineers to ensure product quality throughout the development lifecycle.
Define and implement quality gates for software releases.
Identify, document, track, and help resolve software defects.
Drive continuous improvements in software quality, testing coverage, and release confidence.
Contribute to performance and scalability testing initiatives as the platform evolves.
Help build and grow the QA organization over time.

We are looking for an experienced and highly capable Lead Software Engineer to help drive the next generation of an advanced Industrial AI platform that combines Industrial Connectivity, Edge Computing, Cloud Technologies, and AI-driven solutions.

This is a highly technical, hands-on role for an engineer who enjoys solving complex software challenges while also influencing architecture, technology decisions, and engineering best practices.

This role is intended for a highly technical engineer who enjoys remaining deeply involved in software development while helping shape architecture and technical direction.

You will play a key role in shaping the evolution of a platform that collects and processes industrial data, integrates with manufacturing systems, leverages AI technologies, and delivers actionable insights and optimization capabilities in near real-time.

This is not a people-management role. The position combines significant hands-on software development with technical leadership, architectural ownership, and close collaboration with engineering, DevOps, and AI teams.

Job Responsibilities
Design, develop, and maintain core components of a modern Industrial AI platform.
Write production-quality code and take an active hands-on role in the implementation of critical software components.
Lead the development of complex features and technical solutions from design through delivery.
Contribute to the architecture and technical direction of software products across the organization.
Drive architecture discussions, design reviews, and technology evaluations.
Design scalable, reliable, and maintainable software solutions.
Collaborate closely with AI and Data Science teams to enable seamless integration of AI capabilities into software products.
Work with Edge and Cloud technologies to support distributed industrial systems.
Provide technical leadership, mentorship, and guidance to development teams through active involvement in design and implementation.
Partner with DevOps teams to ensure smooth deployment processes, operational excellence, and platform scalability.
Help evolve multiple products toward a unified and scalable platform architecture.
Contribute to software engineering standards, best practices, code quality, and technical excellence across the organization.

We are looking for a Senior Data Scientist to lead the development of machine learning solutions powering real-time decision-making and recommendation systems in industrial production environments.

This is a hands-on role with end-to-end ownership. You will be responsible for the full modeling lifecycle, from problem framing and data exploration to modeling, evaluation, deployment, and production impact. You will work with complex, noisy sensor and control data, building models that must be robust, interpretable, and reliable in real-world conditions.

You will collaborate closely with deep learning researchers, research engineers, and domain experts, and play a key role in shaping how data science is applied across the system.
Key Responsibilities


Design, develop, and evaluate machine learning models for real-time industrial applications
Own the end-to-end modeling pipeline, including problem formulation, data preparation, feature engineering, model development, evaluation, deployment, and post-production monitoring
Translate ambiguous production challenges into well-defined data science problems
Lead feature engineering and data exploration on complex sensor and control datasets
Define KPIs, evaluation frameworks, and experimentation strategies
Ensure model robustness over time, including monitoring, drift detection, and continuous improvement
Work closely with data and research engineers to bring models into production
Drive best practices in modeling, validation, and reproducibility
Communicate insights, trade-offs, and recommendations clearly to stakeholders