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Were looking for a Senior Data & Analytics Architect to join our team and work directly with startup CTOs, engineering teams, and account teams. This is a hands-on, customer-facing architecture role where you will design and deliver production-grade data platforms on AWS.
The role is focused on turning real business problems into working systems, from early discovery and architecture design to supporting implementation. This is not a pure strategy or management role, its about making clear technical decisions and ensuring they hold up in production.
Work location: hybrid from Tel Aviv
Curious about what it's really like to work?
Explore our benefits, culture, and what success in your first year could look like here.
If you are interested in this opportunity, please submit your CV in English.
Key Responsibilities
Design and deliver end-to-end data platforms on AWS, covering ingestion, storage, processing, and serving layers, including Well-Architected reviews and contribution to SOWs and HLDs
Work directly with startup customers to understand requirements, challenge assumptions, and shape practical solutions
Lead technical discussions, workshops, architecture reviews, and POCs
Translate ideas and early concepts into clear architectures, including HLDs, SOWs, and implementation direction
Make and explain trade-offs across cost, performance, scalability, and complexity
Stay close to delivery, supporting teams to ensure solutions are implemented correctly
Collaborate with Data Engineers, DevOps, Solution Architects and Account Managers to move projects from concept to production
Contribute to internal standards, reusable patterns, and reference architectures
Operate in a fast-paced, project-based environment with multiple customer engagements
Stay up to date with modern Data Engineering and Analytics practices, and contribute to internal enablement, patterns, and knowledge sharing
Work in a customer-facing environment that includes occasional travel, both locally for meetings and events, and internationally around once per quarter

As a Staff Software Engineer, you will serve as a technical authority and play a pivotal role in scaling our core platform. Your focus will span architecture, security research, and engineering excellence:

Lead & Architect: Design, build, and scale high-performance software while driving architectural best practices across the R&D organization.
Security & AI Innovation: Drive deep-dive research into cloud, SaaS ecosystems, and AI agents to build proactive detection models, mitigation strategies, and threat intelligence.
Engineering Excellence: Elevate code quality, testing standards, system monitoring, and documentation across teams.
Cross-Functional Ownership: Partner closely with Product and R&D to translate complex security requirements into scalable technical solutions.
Scale & Optimize: Identify and resolve systemic performance bottlenecks and architectural challenges.
Mentorship & Leadership: Act as a technical mentor, driving engineering standards and fostering a strong knowledge-sharing culture.

Required Customer-Facing Data Scientist - Demand Forecasting
Demand Forecasting Team:
The Demand Forecasting team is at a pivotal, high-growth stage. We have successfully built our core pipeline and are now aggressively onboarding new, diverse customers. This role is highly dynamic, requiring a blend of technical depth, proactive research, and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.
Responsibilities:
As a key Customer-Facing Data Scientist on the Demand Forecasting team, you will:
Work at the forefront of the data world, focusing on the optimization and deployment of Demand Forecasting models.
Handle complex data science challenges using state-of-the-art techniques relevant to demand forecasting and time series, such as forecasting model ensembling, anomaly detection, feature engineering for trend/seasonality, and causal inference modeling.
Act as a highly communicative partner to our clients, diving deep into their unique datasets to understand the nuances and challenges of their business.
Lead the rigorous testing and application of our core ML pipeline on new customer data, identifying areas where it performs exceptionally well and researching/developing solutions for complex cases where it does not.
Be instrumental in helping our clients achieve their business goals and realize the measurable value of our Demand Forecasting module.
Work within a production and product-oriented environment, ensuring models are robust, scalable, and directly integrated into the clients operational workflow.

Required Senior ML Engineer
Responsibilities:
Work on our core data and machine learning infrastructure, which is at the heart of our offering. You will create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation. All in large scale and completely automated.
Who You Are:
A problem solver at heart, you have a passion for excellence, you love to learn but know when its time to deliver and make ends meet. You arent threatened by a complex, dynamic and demanding environment. There is no I in team, is a motto you believe in deeply and you are always looking out for your peers. You know how to take ownership and drive projects to completion.

Required Solution Engineer
The Demand Forecasting team is at a pivotal, high-growth stage. This role is highly dynamic, requiring a blend of technical depth and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.
Responsibilities:
Lead and support customer-facing Demand Forecasting use cases from discovery through deployment
Work hands-on with customer data to design, test, and validate forecasting solutions
Act as a trusted analytical and technical advisor to customers, deeply understanding their business context and datasets
Analyze and explain model outputs and complex analytical concepts in a clear, business-oriented way
Troubleshoot technical and data-related challenges and drive them to resolution
Collaborate closely with Data Science and Customer Success teams, providing structured feedback from customer use cases
Help customers achieve measurable business impact and adoption of our Demand Forecasting module.

Required Predictive Analytics Solution Engineer
Typical Tasks:
Guide and assist customers in utilizing the platform and implementing AI models.
-Help customers understand complex AI concepts, identify relevant use cases, and implement solutions to drive business value.
Address and resolve technical and data-related issues.
Provide valuable feedback to the product team and collaborate to enhance the product.
Analyze model outputs and explain complex ideas in a clear, understandable manner.
Serve as the primary data and technical contact for clients, understanding and addressing their needs.

Our Customer Experience team is looking for an experienced & driven CX Technical Project Manager. This position will report to the VP of Customer Experience.
What Youll Do:
Own, manage, and optimize the CX tech stack, tools, and platforms.
Build, improve, and maintain CX workflows, processes, and SOPs.
Monitor operational backlogs, bugs, and ongoing technical tasks.
Design and implement tools to improve CX speed, quality, and efficiency.
Maintain dashboards, reports, and performance analytics to support business decisions.
Lead A/B testing initiatives across all support channels and deliver insights to leadership.
Manage onboarding/offboarding of CX systems and ensure smooth platform operations.
Handle DSR processes, vendor invoices, and operational tracking.
Analyze CX performance, forecasting, and interaction volumes across channels.
Maintain IVR systems and support global support-site operations.
Collaborate with Product and leadership teams on CX roadmap initiatives.
Continuously identify and remove operational bottlenecks to improve customer experience.
Role located in Ramat HaChayal, Tel Aviv.

Tech is at the center of everything we do at Fiverr and we're looking for people who are builders at their core. From developers to visionaries and everything in between, we want minds who aren't just interested in putting the pieces together but who can find new ways to innovate. Solid communication, creative problem solving and business understanding are all prerequisites. So, if you're tech savvy, inquisitive, and ready to take the road less traveled, the Fiverr Technology team might be right for you. We're looking for a brilliant Development Team Leader to step in and lead a critical backend engineering team, ensuring our product roadmap stays on track and our systems remain stable. This is a high-impact opportunity to provide leadership, drive successful project delivery, and foster the growth of talent within our dynamic environment.

What am I going to do?:

* Drive the team's project roadmap, owning the schedule and ensuring on-time delivery while proactively managing dependencies.
* Act as the primary point person for production health, overseeing reliable deployments and leading swift incident response.
* Provide hands-on technical mentorship and guidance to engineers, championing best practices in security and architectural design.
* Cultivate strong partnerships with team leaders from the group to facilitate seamless cross-functional integration and align on shared objectives.
* Optimize day-to-day operational rituals, including stand-ups, sprint planning, and task allocation, to maintain team velocity and efficiency.

Equal opportunities:
At Fiverr, we're not about checklists. If you don't meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you. At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

we are leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io At Artlist, we are pioneering a modern, AI-native approach to product analytics. We are looking for an ambitious Product Analyst to join us as a strategic partner and builder. In this role, you will leverage cutting-edge AI tools to amplify your impact, blending sharp product intuition with modern workflows to help shape our Product Strategy. You will spend your time tackling high-level business questions, establishing reliable metric frameworks, and building the systems that enable our product teams to move at lightning speed. Wake Up For This
* Leverage AI Tools such as Claude and Cursor: Use AI tools like Claude and Cursor as your daily co-pilots to write logic, process data rapidly, and prototype lightweight internal analytical tools.
* Act as a Strategic Advisor & Builder: Partner closely with product leaders to frame critical business questions, design evaluation frameworks, and guide high-level Product Strategy.
* Drive High-Level Product Analytics: Uncover overarching user behavior patterns, evaluate core conversion performance, and turn big-picture insights into actionable product opportunities.
* Establish Metric Definitions & Context: Define clear business logic, data dictionaries, and context files so that both human teams and AI assistants rely on a trusted single source of truth.
* Enable Speed & Self-Service: Design smart analytical frameworks that empower product teams to answer routine questions effortlessly, freeing you to focus on high-impact, strategic initiatives.

Appdome's mission is to protect every mobile app in the world and the people who use them. We are the leader in AI-native mobile business protection, providing cyber and fraud teams with an agentic platform that builds, monitors, and maintains security defenses in Android and iOS apps — with no SDKs, no coding, and no disruption to engineering cycles.
Our platform delivers over 400 security, anti-fraud, anti-bot, and API protection capabilities, powered by deep learning models trained on a decade of mobile defense data and trillions of live threat events. From build time to runtime, Appdome's AI Agents help mobile brands detect, investigate, and respond to threats faster than ever — recognized as the best AI Platform for Cyber Resilience at RSA Conference 2026 for the second consecutive year. Leading financial, healthcare, m-commerce, and B2B brands rely on Appdome to secure over 50,000 mobile apps and protect more than 1 billion end users globally.
Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.
About the Role We are looking for a talented Software Engineer to join Appdome's Identity Group. You will take part in building advanced fraud detection capabilities, working closely with security researchers and data teams to develop cutting-edge solutions that protect hundreds of millions of mobile devices.
Responsibilities Design and develop core components of fraud detection systems from early prototyping through production-ready releases. Build scalable backend services and distributed systems that process data at scale. Work with large-scale datasets and collaborate with data teams to create actionable signals and features. Write high-performance, production-quality code in C and C++ optimized for reliability and performance. Take ideas from rapid proof-of-concept through to production, tackling complex engineering challenges across the full development lifecycle.