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Required Senior Devops Engineer
About the Role:
As a Devops engineer you will be a part of a team that serves one of our products and play a critical role in designing, building and maintaining our whole devops stack - from code to production and ensuring that we will have a state of the art system.
What youll do:
Be a part of a team of 3 devops engineers
Work closely with our R&D groups and teams including developers, data teams and architects
Work both on infrastructure and on CI/CD areas
Work on our devops stack such as Grafana, ArgoCD , P8s , Git, etc.

We are looking for an experienced Senior Software Engineer to drive the development of our high-performance client applications and the FlexID product ecosystem. This role is unique: while you will maintain and evolve our deep Windows C++ integrations, you will also take ownership of the broader FlexID server and web components that power our product across diverse environments.
Our solution is deployed both On-Premises and as a Cloud-Hosted managed service. This requires an engineer who can solve complex problems at the OS level while ensuring the entire product suite remains robust and scalable within virtualized and hosted infrastructures.
What Youll Do:
Develop and optimize Windows-based client applications using modern C++.
Work closely with Windows OS components, including Windows Registry, COM API, Windows Events, and system services.
Design and implement security-related features, integrating cryptographic protocols and authentication mechanisms.
Debug, profile, and optimize performance to ensure reliability and efficiency.
Collaborate with backend teams, security experts, and product managers to deliver secure, scalable solutions.
Stay ahead of industry trends in security, Windows development, and authentication technologies.
Cross-Stack Development: Maintain and optimize high-performance Windows client applications in modern C++ while contributing to the broader FlexID web and server ecosystem.
System-to-Cloud Integration: Build and support features that bridge legacy Windows components (Registry, COM API, Services) with modern, platform-agnostic cloud services.
Hybrid Deployment: Architect solutions that satisfy the unique constraints of both on-premises enterprise installs and scalable Cloud environments.
Security & Identity: Design and implement cryptographic protocols and authentication mechanisms (e.g., RSA, SHA, Certificates, OIDC) across the entire product suite.
Full-Lifecycle Ownership: Collaborate with backend and security teams to deliver end-to-end features, from low-level system hooks to high-level user interfaces.

We're seeking a talented, versatile, and highly independent senior mobile engineer with experience in web development to join our engineering team. You will be in charge of end-to-end development and significantly impact both the product and technical decisions.
Responsibilities:
Lead development processes from ideation to production
Develop and maintain high-quality React Native applications for iOS and Android
Collaborate with product, medical, and software teams across the organization
Build a customer-centric product with a deep understanding of the complex healthcare

Were seeking a passionate, experienced Senior Data Analyst to join our team.
Our offices are located in Poleg, Netanya, and we work in a hybrid model.
Responsibilities:
Drive strategic insights by working hands-on with complex data sets, seamlessly blending structured quantitative metrics with unstructured qualitative data (e.g., text, consumer feedback).
Build agile analytical solutions, developing and maintaining advanced visual reports and interactive dashboards in Power BI to allow stakeholders to consume complex data easily.
Deliver high-impact presentations (in English) to cross-functional teams and senior leadership, transforming raw data into clear, coherent, and compelling narratives that drive action.
Optimize and automate: Proactively identify bottlenecks in current research processes and reduce turnaround times by building automated pipelines, templates, and dynamic models using SQL and Advanced Excel.
Act as a strategic partner: Work highly autonomously to map business needs, master new domains on the fly, and provide data-driven guidance. This is an individual contributor role.

We are seeking a highly skilled Senior Android Developer with strong experience in building native Android applications (Java/Kotlin). This role involves leading the end-to-end development of our Android products, working closely with cross-functional teams, and driving architectural and technological decisions. The ideal candidate is hands-on, proactive, and passionate about delivering high-quality mobile experiences in the medical tech field.
Responsibilities
Lead the design, development, and delivery of native Android applications from design to production.
Develop new features and enhance existing functionality while ensuring performance, security, reliability, and user experience.
Ensure scalable architecture and maintainable code using design patterns such as MVC/MVVM.
Manage application lifecycle components including background tasks, offline sync, and resource optimization.
Collaborate closely with Product, Backend, and QA teams to build end-to-end solutions.
Integrate and develop third-party libraries, SDKs, push notifications, and RESTful APIs.
Troubleshoot, diagnose, and resolve issues across the Android ecosystem.
Stay updated with modern Android development trends and proactively suggest improvements.

Required Engineering Team Lead
The company delivers the industrys only platform that seamlessly unifies customer identity and fraud prevention, covering identity management, verification, and fraud protection. We serve leading consumer-facing industries, from banking and fintech to e-commerce and gaming.
Our R&D teams design and build advanced, cross-platform SaaS solutions that power our identity platform, developing large-scale, distributed systems that process hundreds of millions of daily interactions with cutting-edge data and AI technologies.
About the Role :
Youll lead a talented team of engineers working across multiple technology stacks, driving innovative solutions that shape the future of digital identity and customer trust.
What Youll Do :
Lead a talented team of engineers, mentor and grow them.
Drive the design, architecture, and delivery of complex SaaS features - across backend, web, and mobile.
Collaborate with Product, UX, and Data Science to deliver impact.
Oversee production systems in high-scale, mission-critical environments.
Champion best practices and foster a can-do engineering culture.

Required AI Engineering Team Lead
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
As the AI Team Lead, you will guide a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll combine technical depth with leadership skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Leadership & Team Management:
Lead, mentor, and grow a team of machine learning engineers and data scientists.
Foster a culture of technical excellence, collaboration, and continuous learning.
Define team goals, measure progress, and ensure high-quality deliverables.
Strategy & Roadmap:
Own the data science strategy and align it with company objectives.
Identify opportunities for applying machine learning and generative AI across products and internal systems.
Evaluate emerging technologies, tools, and methodologies to keep the team ahead of the curve.
Hands-On Technical Work;
Design, prototype, and implement ML models, including LLM-powered copilots, retrieval systems, and fraud detection pipelines.
Guide the deployment of models into production environments with scalability and reliability in mind.
Ensure best practices for experimentation, evaluation, and monitoring.
Cross-Functional Collaboration:
Work closely with engineering to integrate ML components into production systems.
Partner with product managers to align solutions with customer needs and business priorities.
Collaborate with security and compliance teams to ensure ethical and secure use of data.

We are looking for a visionary and technically versatile Data Science Manager to join the Data Science & MLE group within our DS & Analytics organization.
In this pivotal role, you will lead a hybrid team of Data Scientists and Machine Learning Engineers, acting as the bridge between cutting-edge technical innovation and high-level business strategy. You won't just be managing a team; you will be the Technical Lead defining how we solve complex problems-from predicting player behavior to optimizing marketing budgets using the latest in Generative AI.
You will partner closely with Game Directors, Product Managers, and our central analytics teams to drive value across Zynga's diverse portfolio. If you are a leader who is "bilingual" in data-possessing deep Data Science expertise to guide methodology while bringing high MLE and Engineering skills to build scalable, production-ready systems-we want to hear from you.
Key Responsibilities:
Team Leadership & Mentorship: Recruit, retain, and develop top-tier talent within the Data Science & MLE team. Foster an inclusive culture of innovation where technical rigor meets creative problem-solving.

Technical Direction & Engineering Standards: Act as the hands-on Technical Lead for the domain. You will supervise the end-to-end development lifecycle-from research to production-enforcing high standards and MLOps to ensure our models are scalable and maintainable.
Strategic DS & Analytics Support: Drive the development of advanced analytical frameworks to solve core business challenges. You will guide the team in applying rigorous statistical and machine learning methods to areas such as Time Series Forecasting, Causal Inference, Marketing Optimization, Root Cause Analysis, and more.
Strategy & Collaboration: Partner with Game Directors, BI Platform PMs, and embedded analytics teams to define the data strategy and roadmap. You will ensure that our technical initiatives are directly aligned with company-wide goals and solving the right problems.
Global Alignment: Maintain a tight collaborative network with Data Science & Analytics managers in North America, ensuring global consistency in methodologies, knowledge sharing, and joint development.

We are seeking a skilled and experienced Senior Frontend Infrastructure Engineer to join our Core Team. As a member of this team, your main responsibility will be crafting and evolving the frontend infrastructure of our product. You will focus on building resilient, scalable frontend frameworks, tools, and libraries that empower and support our React-based application and the teams building on top of it.
Responsibilities:
Design, develop, and maintain frontend infrastructure, including frameworks, tools, and libraries, to ensure high performance, scalability, and long-term maintainability.
Work closely with product and R&D teams to understand requirements, influence technical decisions, and ensure infrastructure solutions align with real product needs.
Serve as a senior technical authority in the frontend domain, leading by example through high-quality architecture, code, and best practices.
Identify and implement improvements to the frontend development experience, including automation, developer tooling, code reuse, and performance optimizations.
Take part in architectural discussions and help shape frontend standards and conventions across the organization.
Stay up-to-date with modern frontend technologies, trends, and best practices, and apply them pragmatically to improve development efficiency and product quality.
Conduct code reviews with a strong focus on maintainability, performance, and scalability.
Troubleshoot and resolve complex frontend infrastructure issues in collaboration with other engineers and infrastructure teams.

We are looking for an experienced Data Product Manager with a strong Data Science and Analytics background to own and lead data driven solutions.
In this role, you will define and drive the vision, strategy, and execution of data and analytics products that support our Marketing, Growth, and Acquisition teams. You will operate at the intersection of business, analytics, data science, and AI, translating marketing challenges and business questions into scalable data products, clear KPIs, and measurement frameworks that improve acquisition efficiency, ROI, and long-term revenue growth.
You will lead cross-departmental initiatives, partner closely with Marketing leaders, Data Scientists, Data Engineers, Analytics teams, and Product Managers, and ensure that advanced modeling, analytics, and AI capabilities are deeply embedded into day-to-day marketing decision-making.
Key Responsibilities
Marketing Data Product Ownership
Own the vision, roadmap, and delivery of Marketing Data Science and Analytics products
Align initiatives with business goals such as acquisition efficiency, ROI optimization, revenue growth, and funnel performance.
Act as the single point of ownership for marketing-related data, analytics, and data science products across teams.
Define data requirements, metrics, and success criteria for new initiatives, including identifying gaps in existing data.
Collaborate with Data Engineers and Analytics Engineers to design scalable data pipelines, data models, and semantic layers that support analytics, experimentation, and advanced modeling.
Prioritize initiatives based on business impact, scalability, data maturity, and clarity of success metrics.
Business Analytics, Data Science & AI-Driven Marketing Optimization
Define and own the business logic behind marketing KPIs, ensuring clear, consistent, and trusted metrics across teams.
Work closely with stakeholders to understand what needs to be measured, why and how.
Lead data science, analytics, and AI initiatives that optimize marketing performance
Own and evolve core marketing models including attribution, MMM, LTV prediction.
Define success metrics and measurement frameworks for models, experiments, and AI-driven decisions.
Drive experimentation frameworks (A/B tests, geo-experiments, uplift modeling) to continuously improve performance and decision quality.
Design and deploy AI-powered and agentic solutions to automate and scale marketing workflows such as budget allocation, campaign optimization, and creative testing.
Ensure solutions are production-ready, measurable, explainable, and actionable for business stakeholders.
Translate complex model outputs into clear, trusted insights for business users.

We are looking for a Senior Analytics Engineer to help design and build the engineering foundation that powers analytics across the organization.
Our goal is to create a modern data environment where analytics development is fast, reliable, scalable, and increasingly automated. This includes building strong data warehouse foundations, scalable modeling layers, and introducing AI-powered tools and automation that accelerate how data products are built and used.
In this role, you will be part of an analytics squad, working closely with analysts and business stakeholders while building the infrastructure, automation frameworks, and intelligent tooling that enable analytics to scale across the organization.
This is a unique opportunity to help build the next generation of the data organization.
Key Responsibilities
Lead AI adoption in the analytics platform, building tools and workflows that automate analytics development, dashboards, and data exploration
Design and build scalable data warehouse models and transformation layers
Build and optimize ETL pipelines and core analytics infrastructure (Bronze / Silver)
Improve performance, reliability, and scalability of the analytics platform
Develop automation and internal tools that accelerate analytics workflows
Enable self-serve data access across the company through semantic layers and reusable datasets
Collaborate with analysts and business teams within an analytics squad.

This role sits at the technical and commercial center of that motion: delivering partner integration experiences that both delight customers and create measurable revenue impact.

Top priorities:
Working closely with customers and partners to understand how Cloudinary is used when integrated in customer technology stacks.
Executing on Cloudinarys strategic vision - to become ubiquitous as a media platform, for multiple personas in any technology stack that touches media.
Act as the technical PM for ISV activity - lead integrations for selected CMS, PIM and MarTech vendors.
Work closely with partners and customers to define integration scope, success criteria and adoption plans.
Partner tightly with Product Management platform teams, to represent integrability requirements - act as an internal customer for platform enhancements that serve the integrability needs, and bring PM ownership into Product where needed.
Define and oversee successful development of integrations - choose and run the delivery model (internal, outsourced vendors, or agentic/automated approaches), and be accountable for delivery, reliability and time-to-value - teaming up with Program management, and ecosystem Architecture, for technical oversight.

Were looking for a Lead Product Manager (DAM) with a strong SaaS background and a practical passion for AI. Youll own major parts of our DAM experience and platform, helping customers move faster from content creation to activation, with higher adoption and measurable business impact.

In this role, youll lead end-to-end initiatives across the DAM lifecycle: ingestion, collaboration and approvals, content lifecycle workflow, secure sharing, and external content activation. Youll also collaborate with adjacent teams on metadata/search and integrations where needed.
Responsibilities
Own a significant product area within DAM: define the strategy, roadmap, success metrics, and execution plan - from discovery to GA and adoption.
Translate customer problems and business goals into crisp product bets: PRDs, user journeys, edge cases, phased delivery plans, and clear what good looks like.
Drive customer obsession at scale: lead discovery with design partners, validate problems, run pilots, and turn learnings into roadmap decisions and shipped outcomes.
Partner tightly with Engineering, Design, Data/Analytics, and Technical Writing to deliver high-quality experiences with strong UX, reliability, and performance.
Work cross-functionally with Sales, Solutions, Support, Customer Success, and Marketing to support launches, competitive differentiation, expansion, and adoption - and actively participate in strategic sales cycles (discovery, solution shaping, exec alignment) to help close key deals.
Evaluate and manage third-party/partner capabilities where needed (including white-label components), balancing build vs. buy, cost, time-to-value, and long-term maintainability.
Develop a deep understanding of DAM personas and workflows (creatives, marketers, brand teams, operations, agencies, IT/security), and design for real day-to-day constraints.
Build industry-leading AI agents and agentic experiences that measurably improve customer ROI and reduce content time-to-market (TTM).
Use AI thoughtfully to improve outcomes (e.g., approvals, workflow, activation), with a strong bar for trust, quality, and safety.
Work closely with adjacent product teams to align on shared workflows and platform dependencies - without owning their roadmaps.

Were hiring a customer and partner-facing technical leader to own the tech side of Shopify ecosystem team. The Lead Solutions Architect, Shopify Ecosystem is the technical authority that sits at the intersection of Shopify merchants, agencies, strategic tech partners, and platform. In this role you will be responsible for building and evolving AssetLink Shopify app, representing ecosystem needs internally, and translating product-market fit into repeatable Shopify adoption.

This role is a highly hands-on IC with outsized influence (reporting to the GM, Shopify). As the motion proves out, youll help define what will become a small ecosystem engineering / architecture function, hiring and leading a team over time, or via managing outsourced development resources.

Why this role matters:
Shopify is one of the most important ecosystems for commerce growth. AssetLink, our Shopify app, is the product surface area that makes real to Shopify customers: an embedded, Shopify-native way to connect a media library to Shopify workflows (Admin, themes, and automation) and scale consistent, high-performing visual experiences across stores and channels.
Responsibilities:
Ship meaningful improvements to the AssetLink app, personally. Youll write production code, make architectural calls, and own end-to-end delivery for the highest-impact adoption blockers.
Make AssetLink feel Shopify-native: embedded Admin UX expectations, app architecture patterns, APIs/webhooks, permissions, and operational readiness that meet Plus / enterprise standards.
Work closely with our partners at Shopify and key ecosystem technology and service partners to align on roadmaps, integration patterns, and joint customer needs with a bias toward what can be shipped.
Run tight feedback loops with Plus merchants, enterprise brands, and agencies to turn real implementation pain into scoped work, shipped improvements, and repeatable enablement.
Own reliability and KTLO: observability, runbooks, safe rollout strategies, and supportability so the app scales without becoming an escalation magnet.

We create solutions used by both technical and non-technical users to manage, deliver, transform, and collaborate on media assets throughout their lifecycle, through both API and UI.
We take full ownership of what we build, from shaping solutions and making technical decisions to delivering production-ready capabilities with real customer impact.
We are a collaborative, proactive, and product-minded team, with members based in Israel and Poland, working primarily in English.
What Youll Do
Build impactful backend solutions - Design and develop scalable services and infrastructure that support core product capabilities, with a strong focus on reliability, simplicity, and business impact.

Own features end to end - Work closely with product managers and engineers to take ideas from design through implementation, deployment, and ongoing improvement.

Work across a modern backend stack - Develop and operate services using technologies such as AWS, Terraform, Go, and Ruby-based backend systems in a cloud-native environment.
Leverage AI-assisted development tools - Use AI coding tools to their full potential in day-to-day development, and help drive best practices around how the team adopts and works with these tools effectively.
Maintain high engineering standards - Write clean, scalable, maintainable code and contribute to thoughtful architectural decisions that align with broader platform goals.
Improve and evolve the system - Identify opportunities to enhance performance, developer experience, and product capabilities, including the adoption of new tools and approaches where they create value.