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We are looking for a Product Analyst.
As a Product Analyst, you will lead data-driven decisions in the product team and company wide. Among your responsibilities, you will define and track product KPIs as well as initiate ad hoc research projects to drive platform adoption among our 300 customers. Youll work closely with the entire product team on every new feature, throughout the product life cycle, from planning to post launch usage tracking and improvements cycle. You will play a key role in the roadmap-building process, and will lead initiatives that will optimize the value that users are getting from platform and services.
Responsibilities:
The product analyst is the data-driven ambassador for the product team and the entire organization. As a product analyst, your core responsibilities will be:
Establishing product KPIs and company-wide KPIs to ensure the expected impact and targets are met
Exploring and analyzing large data sets and extract valuable insights to support growth and product improvements
Providing supporting data for prioritizing new features and initiatives
Creating dashboards and alerts for internal teams to enable easy analysis for the entire company

We are looking for a Applied AI Team Lead.
As the Team Lead for our Applied AI team, you will join our Tel Aviv office. You will guide the day‑to‑day execution of innovative projects to help mayors and other city leaders understand their communities and improve the lives of millions worldwide. Reporting to the VP of Data Science, you will combine hands‑on technical leadership with people management skills, overseeing a team with rapidly-growing portfolio of mission-critical projects and collaborating with product, engineering, and other internal partners. Youll be responsible for leading every aspect of the development process, so that our cutting‑edge AI and data science capabilities get to production quickly, reliably, and with maximum impact.
Day to Day:
Lead a 5‑person team of data scientists and engineers, coordinating stand‑ups, code reviews, and 1‑on‑1s while also contributing hands-on to high-priority projects.
Oversee the development and implementation of a diverse project portfolio, focused on both customer-facing product features and internal business use cases.
Scope, execute, and deliver end‑to‑end AI and data science capabilities to meet the requirements of product owners and internal stakeholders.
Play a leading role in the development of AI-focused infrastructure and the implementation of best practices for engineering and data science.
Track project risks, dependencies, and costs, and make proactive adjustments to keep initiatives on time and aligned with requirements.
Stay current with the latest developments in AI technologies and tools, and identify opportunities to integrate the latest innovations into our products and workflows.
Recruit, onboard, and develop team members to help scale our Applied AI program and promote a culture of technical excellence.
Work an in‑person or hybrid schedule, with at least three days per week in our Tel Aviv office.

We are looking for a Senior Data Scientist (Applied AI).
As a Senior Data Scientist on our Applied AI team, you will join our Tel Aviv office and play a hands-on, end-to-end role in delivering innovative capabilities that help mayors and other city leaders understand their communities and improve the lives of millions worldwide. Reporting to the Applied AI Team Lead, you will collaborate with product, engineering, and fellow data-science teammates to turn cutting-edge research into production-ready solutionsquickly, reliably, and with maximum real-world impact. Youll work with a rich mix of data sources (including social media, news stories, survey results, resident feedback, and more) to create models and AI-powered features that scale.
Day to Day:
Design, build, and deploy AI and machine-learning solutions, from data exploration through modeling, evaluation, and integration into customer-facing products and internal tools.
Optimize models for quality and scalability through feature engineering, hyper-parameter tuning, runtime profiling, and thoughtful architectural choices.
Build and maintain data pipelines using tools such as Airflow, Spark, and Databricks to ensure clean, reliable inputs for downstream models.
Collaborate closely with product managers, engineers, and designers to refine problem statements, iterate rapidly, and ship impactful features on schedule.
Champion technical excellence by conducting code reviews, sharing best practices, and mentoring teammates across data science and engineering.
Stay current with the latest developments in AI-including LLMs, RAG systems, and AI agents-and proactively propose ways to incorporate new techniques into our workflows.
Work an in-person or hybrid schedule, spending at least three days per week in our Tel Aviv office.

We are looking for a talented Technical Support Specialist. The Technical Support specialist is expected to be an expert of all our supported products, understand them in-depth and take ownership of issues raised by customers, as well as by internal teams. You will need to understand our integration and detect customer issues. You will research, resolve and provide technical solutions, and work closely with the R&D. You will solve product gaps through new integrations to increase usage and satisfaction, while improving products through integrated solutions and ease of onboarding. You must be a curious, diligent, innovative, problem solver. A team player with a strong motivation to succeed.
What youll be doing:
Act as the technical expert to help our clients achieve their goals and leverage their existing partnerships collaborating with us.
Collaborate with product managers on building the business case and impact product roadmap for new integrations.
Work in conjunction with Customer Success and Partner Marketing to ensure client facing teams are best equipped to leverage new integrations.
Analyze clients requirements from technical and functional perspectives and fit solutions by having a deep understanding of our system and products capabilities.
Build, monitor, and execute joint integration project plans with clients.
Work closely with enterprise clients and provide end-to-end support during their onboarding process.
Support Sales and Account Management efforts (presales and post-sales) for our highly strategic merchants as a technical subject matter expert.
Own public-facing SDKs, APIs, integration guides, and support documents.
Initiate and take part in designing and improving processes, tools, features, and products.

We are seeking a highly motivated and results-driven Senior Data Scientist to join our expanding data group. You will work directly with our team of data scientists and analysts, leading the research and development of innovative analytics products. Were seeking someone who is not afraid to roll up their sleeves, dive into the data, and deliver impactful solutions.
What youll do:
Design & Develop cutting edge, scalable and robust big data pipelines, integrated with operational applications, deployed at hundreds of ships around the world.
Design & Develop best practice big lakehouse semantic data.
Serve as internal and external users, semantic data focal point.
Be a pivotal part in a highly professional data team.

Were hiring an AI System Engineer to lead AI-driven innovation across the entire organization. This is a hands-on, builder-focused role where youll identify automation opportunities, develop fast prototypes, and scale impactful systems that remove friction, reduce manual work, and accelerate execution across departments.
Youll work directly with internal teams to co-design solutions that blend business logic with AI capabilitiesunlocking measurable productivity gains.
What You Will Do:
Workflow Analysis: Collaborate with teams to understand their day-to-day processes, identify bottlenecks, and propose AI/automation-based solutions.
Prototype & Deliver MVPs: Rapidly build and iterate on tools using platforms like Zapier, Make, LangChain, OpenAI Assistants, and custom Python scripts.
Partner Across Functions: Support use cases across Marketing, Sales, Support, HR, Finance, Engineering, and Producttailoring solutions to each teams workflows.
Operationalize Solutions: Turn MVPs into stable, monitored systems with observability, fallback handling, and documentation.
System Integration: Seamlessly connect AI workflows to tools such as HubSpot, Salesforce, Notion, GitHub, Jira, Slack, internal APIs, and more.
Troubleshooting & Optimization: Continuously improve solution qualitydebug failures, refine prompts and logic, and ensure high reliability.
Enablement & Documentation: Deliver internal documentation, reusable templates, and hands-on support to drive team adoption and responsible usage.
Quantify Impact: Track business value metrics such as time saved, error reduction, and improved cycle times.

We are in search of a detail-oriented and analytical Senior Business Analyst to join our growth team. The successful candidate will have a minimum of 5 years of dedicated experience in data analysis, a self-learner with a strong drive to excel, and a proven track record of turning data into actionable insights.
What You'll Do:
Work closely with the various teams to provide insights and analytics to support business decision making
Design, build and monitor funnels and AB tests at scale to optimize performance
Analyze data to identify trends/insights that may influence the product decisions
Support and advise the business with ad-hoc analytics, as well as apply statistical techniques to create insights and discover new business opportunities
Enable and support the business regarding the development and use of data analysis and reporting by building reporting-grade data sources in our BI environment and translating those data sources into meaningful dashboards and reports for easy business use
Provide business expertise and guidance (consultative partnership) on how to apply leverage data analytics and reporting within the organizations
Conduct research on the data to address some of the business questions
Create and deliver documentation and training on reporting and BI tools for business users to enable self-service on company data