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Required Front End Engineer
About the Card Team:
The Card Team is at the heart of our credit card product. We manage the entire customer lifecycle, from the initial application and card ordering process to automated account management, including collections, credit limit adjustments, and monthly statements. Our team develops and maintains the platforms that allow over 200,000 customers (a number that has nearly doubled in the last year) to manage their accounts, update personal details, make payments, and view their transaction history. We support both direct-to-consumer cards and co-branded cards for our strategic partners, making a direct impact on the company's growth and our customers' financial lives.
What Youll Do:
As a Frontend Engineer on the Card Team, you will take ownership of the primary platforms our customers interact with daily: our web portal and native mobile app. You will be responsible for developing new features and enhancing the functionality related to our credit card services. This is a key role where you will directly shape the user experience for hundreds of thousands of cardholders, building the next generation of features for our rapidly growing product.
Key Responsibilities:
Develop, and maintain the customer-facing web and native applications for our credit card product.
Take ownership of the end-to-end development of new credit card-related features, from concept to deployment.
Implement new functionalities, such as customer benefits, rewards programs, and innovative payment solutions.
Collaborate closely with backend engineers to integrate APIs and deliver a seamless, high-performance user experience.
Write clean, efficient, and maintainable code, adhering to best practices and team standards.
Contribute to a collaborative environment, sharing your expertise and mentoring other team members.

Required Data Infrastructure Engineer
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.

We are seeking an AI/ML Lead Engineer to join our R&D division and drive the adoption of advanced machine learning and AI solutions across our financial and operational domains. In this role, you will design and implement intelligent models that increase efficiency in collections and payments processing and build AI-driven tools that enhance call center performance and agent productivity.
We are looking for a hands-on, independent team player with strong foundations in data science, computer science, and backend engineering, combined with excellent analytical and algorithmic skills. This role is diverse and impactful, spanning machine learning development, data analysis, and backend engineering, with the opportunity to shape our AI/ML strategy for servicing and operations.
As part of the R&D group, you will work closely with engineers and product managers, leading and implementing AI/ML initiatives that directly align with our business goals and innovation vision.
Key Responsibilities
Lead the design, development, and deployment of ML models to optimize collections and payments processing.
Develop and integrate AI-driven tools to improve call center efficiency and agent productivity.
Collaborate cross-functionally with engineers, product managers, and stakeholders to translate business needs into technical solutions.
Drive data analysis and modeling efforts, leveraging advanced algorithms to uncover insights and improve decision-making.
Ensure scalability, quality, and compliance of all AI/ML solutions within the financial and servicing domains.
Stay up to date with emerging AI/ML technologies and assess their potential impact on the companys strategy.
Mentor and guide team members, fostering knowledge-sharing and technical excellence.

We are looking for an experienced, independent team player who has great data & computer science skills, a passion for data, and excellent analytical and algorithmic skills.
This role is diverse, encompassing AI/ML, data analysis, and backend engineering.
You will play a crucial role within a mission-critical team responsible for managing the heart and brain of our primary product. This involves working on core systems, such as POS underwriting models, models for merchant operations, and more.
You will participate in cutting-edge risk management systems that safeguard the loan product's financial operation, as well as operational systems, with a direct impact on its financial success.
Our AI/ML team is part of the R&D group, so you will work closely with engineers and product managers as well.
Key Responsibilities:
Research and develop statistical behaviors, study domain-specific data.
Develop state-of-the-art machine learning models end to end, including development, deployment, and continuous improvement. Both in-weight learning and in-context learning, for risk / operations related projects. This includes integrating models into production services and ensuring compliance with regulatory processes (e.g., using SHAP values for model explainability and providing evidence for production model audits).
Operate backend infrastructure for training and deploying ML models, ensuring optimal performance and reliability.
Develop and maintain Python code for translating ML model outputs into financial decisions.
Conduct analytical research on our models impact on the portfolio.
Strategize and implement changes to enhance portfolio performance.

As an Account Executive your role includes managing your own account pipeline, contributing to the teams pipeline and becoming a valuable part of the product team.

No outbound required! Only reach out and consult businesses who have signed up to the platform in order to make them paying customers, provide top notch customer service and help improve the product based on knowledge and feedback that youll gather!

What you'll be doing:

Working Model: Europe time (Mon-Fri) & US hours (Temporary - Onboarding Period)

You will become a product expert!

The Account Executive position is a quota-carrying position; you will own the full sales cycle
Be the companys eyes No one in the company knows our clients better than the Sales team
Influence the product in the light of client demands and needs
Cross department involvement and information sharing
Initiative independence and ownership

We are looking for an experienced and hands-on Backend Engineer to be a key player in building high-scale Data Platforms and Products for our business teams.

This role involves working with large datasets and scalable systems, and developing internal tools to enable data-driven decision-making across the company.

Key Responsibilities:

Develop internal tools for various teams.
Build and maintain microservices and APIs to support diverse workflows.
Operate in a real-time, event-driven environment.
Create and manage data pipelines.
Take ownership of multiple systems and products.
Develop and deploy machine learning pipelines to production in an event-driven architecture.
Work in a multi-cloud environment (Azure/GCP/AWS).
Integrate third-party tools with our platform.
Translate business requirements into technical specifications.

Were looking for a highly motivated AI Developer to help design, build, and deploy intelligent agentic systems across our product ecosystem. In this role, you'll work at the intersection of machine learning, backend systems, and modern frontend technologies to deliver AI-first features that feel magical to users.

This is a hands-on, cross-functional role ideal for engineers who love building full-fledged featuresfrom data pipelines and LLM orchestration to intuitive UI experienceswith a strong product mindset.

Responsibilities:
AI Agent Design & Integration
Design and implement autonomous or semi-autonomous agents using LLMs (e.g., OpenAI, Anthropic, open-source models).
Work with prompt engineering, RAG pipelines, and tool/plugin integrations to enable agents to interact with internal and external systems.
Build scalable agent runtimes and orchestration layers (e.g., LangChain, Semantic Kernel, ReAct-based agents).
Fullstack Product Development
Own full-stack features end-to-end: from backend APIs and data models to React-based frontend interfaces.
Integrate AI/agent capabilities into customer-facing products with clean UX and measurable performance.
Collaborate closely with design, product, and data teams to bring ideas from concept to production.
Systems & Infrastructure
Build and maintain backend services and pipelines that support AI agents, including vector search, embeddings, function calling, and observability.
Optimize inference flows for performance and cost, potentially using streaming, caching, or local model inference.
Ensure systems are secure, reliable, and compliant with InfoSec standards.
Experimentation & Continuous Improvement
Rapidly prototype and iterate on new AI capabilities and user experiences.
Analyze performance and usage metrics to drive product and model improvements.
Stay up to date with the evolving AI toolchain and emerging agent architectures.

We are rapidly growing into various verticals as stated above and looking to grow our team with a developer relations leader. This role is a key member of the team that would manage our technical engagements in leading industries such as general AI/ML applications development, consumer internet, AI on embedded systems and others; and to evangelize our portfolio of technologies and accelerate its adoption among developers. Have strong technical competence and the ability to be a leader who can function effectively and independently in a matrixed environment to groom and guide developers. This is a regional role covering Israel's AI ecosystem.

What you will be doing:

Develop a technical strategy to ensure our platforms adoption for selected industries, focusing on your priority industries and use cases

Establish relationships with technical leaders in organizations and communities, specifically developers, startups and ISVs within the industries.

Evangelize and develop our leadership position by accelerating the availability of GPU-accelerated AI and data Science applications in the specified market by helping developers understand the value of our hardware products and SDKs in addressing critical development opportunities

Lead participation in targeted customer and industry developer events and activities. Chair technical activities spanning product divisions and sales geographies, particularly with solution architects, software developers and engineering resources, developer marketing contribute towards our local ecosystem strategy and development of our value messaging for your customers.

Be the key advisor to how we are differentiated. You will become a technology mentor and focal point for the software developer community.

We are looking for an experienced and hands-on Backend Engineer to be a key player in building high-scale Data Platforms and Products for our business teams.

This role involves working with large datasets and scalable systems, and developing internal tools to enable data-driven decision-making across the company.

Key Responsibilities:

Develop internal tools for various teams .
Build and maintain microservices and APIs to support diverse workflows.
Operate in a real-time, event-driven environment.
Create and manage data pipelines.
Take ownership of multiple systems and products.
Develop and deploy machine learning pipelines to production in an event-driven architecture.
Work in a multi-cloud environment (Azure/GCP/AWS).
Integrate third-party tools with our platform.
Translate business requirements into technical specifications.

seeking a skilled and experienced DevOps Engineer to design, plan and implement scalable, reliable and robust system infrastructure to support the companys rapid business and traffic growth.

You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic and agile environment.

What you'll be doing:

You will take an active part in the challenge of managing a highly available and fault tolerant production environment.
You will assist in identifying and resolving performance concerns and operational bottlenecks, debug complex pitfalls and advise on system architecture solutions.
You will build, design and maintain self-serve devex tools to increase development velocity and satisfaction.
You will push and impact our systems to be more cost effective, performant and simple to use and extend.

We are looking for a highly motivated and experienced Software QA Engineer to join our Firmware QA Team. Quality is an integral aspect of our products, and as a Firmware QA Engineer you will have a significant impact in helping us to deliver our products to customers in a fast paced and constantly evolving environment. You will bring your upbeat personality with excellent communication skills, attention to detail, and real passion for a positive user experience.

What Youll Be Doing:

In the position of Senior QA Software Engineer, you will have a key role in assuring our products meet high-quality standards! Your tasks will consist of:

Collaborating on projects involving ITU-T standards like G.8273.2 Class-C/D Boundary Clocks.

Applying your deep knowledge of communication network standards to validate and improve product quality.

Testing and verifying clock synchronization protocols, including Synchronous Ethernet (SyncE) and Precision Time Protocol (PTP).

Defining and implementing test topologies and setups to ensure comprehensive product coverage.

Participating in requirements, build, and feature reviews, providing QA insights and feedback.

Engaging with customers, presenting solutions, assisting in debugging on customer environments, and supporting integration efforts.

Staying up-to-date with emerging networking standards, features, and technologies to continually expand QA coverage.

Implementing and composing manual and automated firmware and system-level tests in a Linux environment.

We are looking for an experienced Senior Product Fullstack Developer, to further develop the platform. You will build a product that customers love and use on a daily basis, a product that is fun to use, fast, reliable and scalable. You will tackle a wide array of problems from developing a UI that is responsive to the user and fun to choosing the right backend technologies to solve specific product use cases at scale.

Ownership & Responsibilities:
As Product Fullstack developer you will be assigned to one of our product groups consisting of a representative from sales, customer success, support, data, marketing and R&D. Each group member is in charge of giving inputs from their respective team. The idea is to have a holistic view of your part of the product in order to be able to make the right decisions about the product. Together with your product group you will understand your customers use cases and needs, define the roadmap, and build your weekly sprints. Additionally as the developer in the group you will be in charge of pushing your product forward from the technical perspective, everything from solving bugs, planning the right architecture, coding features, and pushing it all to production.

We have improved AI infrastructure by merging GPU virtualization with Kubernetes-native tech to power innovative AI factories. We aim to speed up enterprise AI projects with smart orchestration, and scalability for AI workloads. Seeking a skilled Senior Software Engineer for our Infrastructure Group to innovate AI technology. The Infrastructure Group is tasked with composing and evolving the core systems responsible for thousands of GPUs and nodes driving enterprise AI. We invent the foundation that facilitates elastic, secure, and observable AI operations at extensive scale. We are seeking engineers who are passionate about distributed systems, modern cloud-native infrastructure, and AI performance optimization.

What youll be doing:

Crafting and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.

Building and optimizing microservices-based architectures using Kubernetes and cloud-native technologies.

Collaborating closely with backend engineers, product managers, and other partners to deliver impactful solutions.

Writing clean, maintainable, and testable code in Go, contributing to our CI/CD pipelines.

Conducting code and build reviews to uphold high-quality standards and mentor team members.

Leading the development and implementation of advanced identity management systems that secure our innovative AI and GPU cloud.

Developing scalable multi-tenant solutions that allow our diverse clientele to harness the power of our platforms securely and efficiently.

Collaborating with multi-functional teams to integrate identity and access management features seamlessly into our products, from cloud services to edge computing devices.

As a Fullstack Team leader, youll be in charge of the following:

Maximizing your teams impact and personal growth by leveraging management skills and creative engineering methods.
Providing mentorship and guidance for your team.
Overseeing the execution from the scoping stage to production.
Contribute to the engineering culture and methodologies.
Being a go-to person creates a comfortable environment for the employee to discuss personal challenges and work-related struggles.
Contribute to our codebase to push the development forward and stay up to date with our coding standards.

We are now looking for a Chip Design Verification Engineer. We are seeking a verification engineer to join the chip design methodologies team. The team is in charge of the verification methodologies, shared code, training, and embracing new technologies. One of our main goals is to make sure that the team works in an efficient manner, and provides high-quality deliveries. This position offers the opportunity to have real impact in a dynamic, technology-focused company.

What you'll be doing:

Develop shared verification code and solutions to be widely used by the chip design team.

Develop groundbreaking methodologies to create a flawless experience for verification engineers to keep the focus on new problems.

Collaborate with the design automation team to provide end-to-end solutions that combine verification, simulation, and automation.

Get in touch with EDA vendors to learn about cutting-edge tools/technology and apply them into our verification process.

Understand the design, define the verification scope, develop the verification infrastructure and verify the correctness of the design.

Collaborate with designers, verification specialists to accomplish your tasks.

Develop training sessions.