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Manage all bookkeeping operations: AP, AR, general ledger.
Reconcile bank statements and credit card transactions.
Perform monthly and quarterly financial reports.
Utilize Hashavshevet software to accurately record financial transactions and generate reports.
Monthly and annual reporting to authorities (VAT, Income Tax, National Insurance)
Ensure accuracy and compliance with accounting standards and company policies.
Managing the collection process with customers, including tracking payments, handling overdue debts, and maintaining ongoing communication with customers regarding payment issues.
Assist with audits and other financial reviews as needed.
Manage multiple tasks and deadlines effectively in a fast-paced environment.

We are on a mission to make better health easy. Every day our employees contribute to this mission and help hundreds of thousands of people around the globe improve their health. How cool is that? We are looking for passionate, smart, and collaborative people who have a desire to do something meaningful and impactful in their careers.

As the Financial Controller, you will have the opportunity to lead the way in financial reporting, billing, revenue recognition, and much more.

The primary responsibilities of this job include:

Control on accounting areas such as B2C/B2B revenues and inventory
Assisting with the preparation of consolidated financial reports.
Ensure quality control over P&L transactions and assist in supervision of the bookkeeping department.
Identifying and establishing the SOX matrix for the Companys workflows.
Review the billing process and ensure billing accuracy by monitoring the overall integrity of revenue generation.
Prepare budget control and analysis.
Prepare local financial and tax filings.
Handle the audit cycle, as required by and in accordance with SEC regulations.
Assisting in the development and implementation of new processes and Ad-Hoc projects.
Ad-Hoc reporting and analysis.

Required Team Lead
What Youll Do:
The Merchant-Ops squad is responsible for various domains and products that manage and support our merchants and their ongoing relationship with us. The team develops mobile applications, web platforms, and backend services, and is comprised of skilled backend, frontend, and data engineers.
As the Merchant-Ops Squad Lead, you will be responsible for the team's technical leadership, domain design, and day-to-day execution. You will collaborate closely with product managers and business stakeholders to define priorities and deliver impactful solutions that align with key business goals. We are looking for someone who can drive end-to-end ownership, balance business needs with strong engineering practices, and help shape the direction of our products.
Responsibilities:
Among your key responsibilities, you will lead a highly skilled team that architects and builds scalable systems that serve our customers and partners.
Lead the technical architecture and system design for merchant-facing products
Guide a multidisciplinary squad of frontend, backend and data engineers through implementation, delivery, and iteration
Work closely with product managers and business stakeholders to translate requirements into scalable technical solutions
Ensure development aligns with business objectives, long-term system health, and our engineering standards
Conduct and lead design reviews, code reviews, and performance optimization efforts
Drive a culture of technical excellence, ownership, and continuous improvement
Oversee system reliability, monitoring, and incident response within your domain.

Required Squad Lead
What Youll Do:
As the Card Risk Lead, you will manage a mission-critical team central to the Credit Card, our flagship product, that is responsible for developing and implementing our core risk management strategies. Leading a dynamic team of backend engineers and AI/ML specialists, your contributions will directly impact our key performance indicators and overall success.
This position is both strategic and hands-on, involving the architecture and implementation of scalable systems that power the core financial risk of the Card product.
This is a unique opportunity to join a fast-growing fintech company, influence the product at its core, and shape the way credit and risk are managed across our platform.
Among your key responsibilities, you will lead a highly skilled team that architects and builds scalable systems that detect and mitigate financial risks in real time.
Work closely with the business and senior leadership.
Collaborate with cross-functional teams, including AI/ML engineers, product managers, analysts, and other engineering squads, to align risk management strategies with business goals.
Proactively maintain the stability, security, and adaptability of the financial risk management systems.
Leverage data analysis and insights to ensure alignment with the companys growth and evolving business needs.
Respond quickly and proactively to emerging trends, delivering fast, impactful solutions that protect the product's financial success.

Senior Product Manager
What Youll Do:
Take part in defining the product vision, strategy, and supporting business metrics.
Research and identify new opportunities to continuously add, enhance and improve our products.
Define product timeline and resource allocation.
Create business requirements and functional specification documents based on an intimate knowledge of customers, the product, the market, competitive landscape, and internal dependencies within the company.
Conduct business and financial analysis to evaluate and determine the performance, gaps, and future enhancements.
Work cross-functionally with designers, software development engineers, and US based stakeholders to guarantee smooth and efficient product delivery.
Execute end-to-end management of product lifecycle - collecting and analyzing business requirements, prioritizing features based on business value, writing clear detailed tasks for development, and analyzing the results of features after deployment.

Were looking for a Senior Software Engineer to join a dynamic and high-impact team that owns the entire risk infrastructure behind our credit card. This includes real-time decisioning systems, integration with advanced ML models, risk engines, and credit strategies that directly impact our financial health and customer experience.
You'll collaborate closely with data scientists, backend developers, and product stakeholders to build systems from scratch, design complex architectures, and ensure scalable, high-performance infrastructure capable of making split-second decisions.
This is a unique opportunity to join a fast-growing fintech company, influence the product at its core, and shape the way credit and risk are managed across our platform.
Key Responsibilities:
Design, implement, and maintain large-scale backend systems for real-time risk and credit decisioning.
Build and optimize data pipelines and streaming systems that support our risk and ML models.
Work closely with data scientists to integrate predictive models into production.
Build microservices and internal tools that serve thousands of users and scale with company growth.
Own projects end-to-end from requirements and architecture to testing, deployment, and monitoring.
Collaborate with engineering and cross-functional stakeholders to ensure business alignment and smooth delivery.
Drive best practices in software engineering from code quality and security to performance and maintainability.

Required MLOps Engineer (Infra)
What Youll Do:
Design, implement, and enhance robust and scalable infrastructure that enables efficient deployment, monitoring, and management of machine learning models in production. In this role, you will bridge the gap between research and production environments, streamline data and feature pipelines, optimize model serving, and ensure governance and reproducibility across our ML lifecycle.
Responsibilities:
Decouple data prep from model training to accelerate experimentation and deployment
Build efficient data workflows with versioning, lineage, and optimized resource use (e.g., Snowflake, Dask, Airflow)
Develop reproducible training pipelines with MLflow, supporting GPU and distributed training
Automate and standardize model deployment with pre-deployment testing (E2E, dark mode)
Maintain a model repository with traceability, governance, and consistent metadata
Monitor model performance, detect drift, and trigger alerts across the ML lifecycle
Enable model comparison with A/B testing and continuous validation
Support infrastructure for deploying LLMs, embeddings, and advanced ML use cases
Manage a unified feature store with history, drift detection, and centralized feature/label tracking
Establish a single source of truth for features across research and production across research and production.