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We are
We're building the financial infrastructure that powers global innovation. With our cutting-edge suite of Embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - were reshaping how financial technology is developed and delivered..
The Role:
We are seeking a skilled and proactive ServiceNow Administrator to manage and maintain our ServiceNow platform. In this role, you will be responsible for the day-to-day administration, configuration, and support of ServiceNow to ensure the platform runs smoothly, securely, and effectively supports ITSM and other business workflows.
Who You Are:
We're looking for a Problem-Solving Enthusiast who thrives on finding solutions to complex technical challenges and approaches each issue with curiosity and determination. As a Process-Driven Organizer, you naturally create structure, documentation, and best practices that help maintain system integrity. Your identity as a Customer-Focused Team Player means you understand that behind every ticket is a person needing assistance, and you're committed to delivering exceptional service while supporting broader team goals. These qualities make you an ideal candidate who can both manage the technical aspects of ServiceNow administration while maintaining the human connection that drives successful IT service management.
What Youll Actually Be Doing:

* Administer and support core ServiceNow modules: Incident, Problem, Change, Request, CMDB, Knowledge, and others as implemented.
* Configure and maintain forms, fields, views, workflows, UI policies, business rules, client scripts, catalog items, and reports.
* Manage user access, roles, and group assignments across the platform.
* Monitor platform health and performance; troubleshoot issues and ensure timely resolution.
* Perform regular platform upgrades and patching activities, ensuring minimal disruption.
* Assist with data imports, including Transform Maps, data Sources, and Load scripts.
* Collaborate with developers, stakeholders, and process owners to translate business requirements into effective ServiceNow solutions.
* Maintain platform security and compliance in alignment with company policies.
* Support integrations with other enterprise tools (e.g., Active Directory, SCCM, Jira, Azure).
* Document changes, configurations, procedures, and best practices.
* Participate in incident response and change management processes related to ServiceNow updates.
Why Youll Love Working Here:
Youll help secure some of the most innovative products in fintech and crypto - while collaborating with brilliant, supportive teammates who care deeply about doing things the right way. Our security culture is proactive, collaborative, and continuously improving. Youll have the autonomy to lead impactful initiatives, influence design from day one, and grow alongside a team thats invested in modern tooling and professional development.
Next Step:
Hit Apply. Bring your ServiceNow abilities. Well bring the challenge - and the snacks.

Who We Are At Cross River, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely.?With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - we’re reshaping how financial technology is developed and delivered. segmentation and optimization tools.

The Role:
As a Data Scientist you’ll play an essential role in driving data-informed decisions that strengthen our AML/CFT compliance and empower business leaders with actionable insights. By transforming complex data into clear, compelling analysis, this role enables quick understanding of results and supports strategic recommendations that directly influence compliance outcomes and operational success. You’ll collaborate with cross-functional partners to deliver a comprehensive view of risk, monitor the impact of implemented strategies, and make critical adjustments as needed. From designing and refining transaction monitoring scenarios to producing high-quality dashboards and reports, your work will guide ongoing optimization efforts.

Who You Are:

* Curious and analytical – You love digging into data, asking the right questions, and uncovering insights that others might miss.
* Clear communicator – You can explain complex findings in a way that’s easy to understand, whether it’s to compliance officers or business partners.
* Collaborative mindset – You enjoy working across teams and believe that the best solutions come from bringing different perspectives together.
* Mission-driven and detail-oriented – You care deeply about making a real-world impact and bringing focus and precision to everything you do.

What You’ll Actually Be Doing:

* Present data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they can make informed data-driven decisions.
* Collaborate with various partners to provide a holistic view of the analysis. Measure and monitor results of applied recommendations and present adjustments.
* Develop scenarios involving tuning, calibration, segmentation, and optimization.
* Provide routine and ad hoc reporting tied to AML/CFT compliance.
* Develop insightful and compelling summary reporting and dashboards for management and business line partners.
* Support the development of policies and procedures for AML transaction monitoring life cycle, including reviews of scenario validation, segmentation and optimization tools.

Why You’ll Love Working Here:

* Flexible hybrid work model: three days a week at our Jerusalem office
* Monthly wellness reimbursement – from therapy to gel manicure, it's up to you
* Full Keren Hishtalmut, private health and dental insurance
* Volunteer days, donation matching, Yoga and Pilates
* A supportive, collaborative culture that puts our people first

Next Step:
Hit apply. You bring the talent; we’ll bring the challenge (and the snacks!)

our company, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, we are dedicated to bringing cutting-edge technology to the creative and business spaces.
Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetize their work and offers brands opportunities to scale their content through tailored creator partnerships.
The Data Platform team powers our company's data-driven innovation by building cutting-edge systems that transform raw information into actionable insights. We create sophisticated solutions across the entire data stack, from intuitive self-service analytics and seamless media ingestion to lightning-fast event processing and sophisticated A/B testing frameworks. Our team operates at the intersection of big data and user experience, designing robust platforms that balance privacy protection with cost efficiency. Join us and help architect the infrastructure that fuels data-informed decisions and directly impacts product success.
What you will be doing
Build, lead, and mentor a team of backend engineers, fostering professional growth and collaboration while putting a strong emphasis on engineering excellence.
Evolve our architecture and infrastructure to support the growing scale of users, features, and data.
Build strategic relationships with key stakeholders across the company, and develop a deep understanding of the business vision to ensure the data platform continues to meet evolving needs while maintaining technical excellence.
Define and monitor metrics and KPIs to measure the health, performance, and impact of our data systems, continuously optimizing for scalability, reliability, and efficiency.
Have full responsibility for data compliance in the organization and lead the design and implementation of data compliance and privacy processes.

Our ideal candidate is someone with a systematic problem-solving approach, coupled with strong communication skills, a sense of ownership and drive. Someone who is as passionate as we are about the craft of software engineering and system architecture, and understands the challenges of building complex backend systems. Someone who believes in writing resilient code and reliable infrastructure, but can still appreciate the realities of business and can deliver on a tight schedule in a fast-paced environment. An individual who loves learning, understands the value of teamwork and cherishes the feedback of other talented engineers.
What you will be doing
Lead a team of 68 engineers, providing mentorship, guidance, and support in their professional development and daily work.
Take ownership of the teams delivery and execution, from planning and prioritization to quality and production stability.
Remain hands-on and contribute to the codebase when needed, especially in complex or high-impact areas.
Design highly available, mission-critical microservices and APIs.
Architect and implement scalable data pipelines that integrate with multiple internal and external data sources.
Drive the development of internal tools, campaign automation systems, dashboards, and reports to empower end users.
Promote and implement engineering best practices for code quality, testing, observability, and deployment.
Collaborate closely with relevant stakeholders to shape solutions from idea to delivery.

Following the success of LTX-Video, our widely adopted open-source text-to-video model, we are expanding our efforts to develop cutting-edge video generation models and are hiring Research Scientists to join our LTX-Video Core team.
At our company, weve been at the forefront of innovation in text-to-image and text-to-video generation, with LTX-Video driving our flagship product, LTX Studio, and gaining significant traction in the research and open-source communities, including integrations with platforms like ComfyUI and Diffusers.
This role focuses on pioneering model architecture and pre-training algorithms, shaping the next generation of our foundational generative AI models.
What you will be doing
Pre-train and fine-tune video and image generative models to pursue state of the art results.
Publish papers and open-source models to benefit the research community and advance the field.
Design and implement machine learning models for text-to-video generation.
Collaborate with data engineers to curate and preprocess text and video data.
Optimize models for high performance, ensuring efficiency in training and inference phases.
Build new controls and capabilities into generative text-to-video models.
Stay updated with the latest developments in Generative AI, particularly in the field of image, video, and audio.
Work closely with product teams to integrate AI models into applications and services.
Conduct experiments and prototype new concepts to advance the capabilities of our AI tools.

our company, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, we are dedicated to bringing cutting-edge technology to the creative and business spaces.
Our AI photo and video generation models, which power our apps and platforms including Facetune, Photoleap, Videoleap, and LTX Studio, allow creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetize their work and offers brands opportunities to scale their content through tailored creator partnerships.
What you will be doing
Conducting applied research, keeping in mind the constraints and requirements of real world solutions
Mentoring other researchers in your team and leading projects with multiple participants.
Working with engineers, designers and product managers to aim your research to the right place.
Keeping up with new research developments in academia and exposing them to all team members.
Writing high-quality code (aiming at production-grade) and maintaining efficient workflows in your research process, using best practices and tools.

our company, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, we are dedicated to bringing cutting-edge technology to the creative and business spaces.
Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms, including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetize their work and offers brands opportunities to scale their content through tailored creator partnerships.
What you will be doing
As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of our companys machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering our company's next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.
Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stackfrom Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads.

our company, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, we are dedicated to bringing cutting-edge technology to the creative and business spaces.
Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetize their work and offers brands opportunities to scale their content through tailored creator partnerships.
The Data Platform team powers our company's data-driven innovation by building cutting-edge systems that transform raw information into actionable insights. We create sophisticated solutions across the entire data stack, from intuitive self-service analytics and seamless media ingestion to lightning-fast event processing and sophisticated A/B testing frameworks. Our team operates at the intersection of big data and user experience, designing robust platforms that balance privacy protection with cost efficiency. Join us and help architect the infrastructure that fuels data-informed decisions and directly impacts product success.
What you will be doing
Build and own the infrastructure and services required for processing and storing data from a wide variety of sources, including mobile apps and internal/external data producers.
Design and build processes to integrate a wide range of edge systems across multiple cloud providers and handheld platforms reliably.
Assist data consumers across our company in defining requirements and refining existing processes using a wide variety of tools.
Define and own the systems and processes that deliver data to the data warehouse, while maintaining these systems and the warehouse itself.
Identify bottlenecks in internal data processes and resolve them by automating workflows, optimizing data delivery and storage, and redesigning infrastructure for greater scalability.
Integrate new tools and solutions to empower the companys data consumers and help assimilate them effectively.

our company, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, we are dedicated to bringing cutting-edge technology to the creative and business spaces.
Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platforms, Popular Pays and Content Lab, provide influencers with the ability to scale their content and monetize their work, while offering brands opportunities to expand their reach through tailored creator partnerships.
Our ML Platform team is responsible for building our companys ML serving platform, which hosts all of the companys ML and Gen AI models. Our goal is to create streamlined processes to bring functional research code and AI models to production grade systems, where millions of our apps users enjoy this magic.
Your day-to-day job will involve
Lead the design and evolution of our ML Platform, partnering closely with DevOps, research, and product engineering teams to ensure it meets the current and future needs of our company.
Architect and implement reliable, scalable, and high-performance services that power the ML and GenAI experiences across our suite of products.
Drive technical strategy and roadmap for the platform, identifying opportunities for innovation, optimization, and automation.
Collaborate across teams to define platform capabilities and influence infrastructure direction based on product and organizational goals.
Mentor and guide engineers in the team, promoting a culture of technical excellence through code reviews, design discussions, and knowledge sharing.
Serve as a key technical leader in cross-functional initiatives, helping align teams on architecture, best practices, and long-term vision.

The Core Generative AI team at our company Research is a unified group of researchers and engineers dedicated to developing our generative foundational models that serve LTX Studio, our AI-based video creation platform. Our focus is on creating a controllable, cutting-edge video generative model by merging cutting-edge algorithms with exceptional engineering. This involves enhancing machine learning components within our sophisticated internal training framework, crucial for developing advanced models. We specialize in both research and engineering that enable efficient and scalable training and inference, allowing us to deliver state-of-the-art AI-generated video models.
As a Large Scale Training Engineer, you will play a key role in enhancing the training throughput of our internal framework and enabling researchers to pioneer new model concepts. This role demands excellent engineering skills for designing, implementing, and optimizing cutting-edge AI models, alongside writing robust machine learning code and deeply understanding supercomputer performance. Your expertise in performance optimization, understanding distributed systems, and bug elimination will be crucial, as our framework supports extensive computations across numerous virtual machines.
This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research.
Key Responsibilities
Profile and optimize the training process to ensure efficiency and effectiveness, including optimizing multimodal data pipelines and data storage methods.
Develop high-performance TPU/CPU kernels and integrate advanced techniques into our training framework to maximize hardware efficiency.
Utilize knowledge of hardware features to make aggressive optimizations and advise on hardware/software co-designs.
Collaboratively develop model architectures with researchers that facilitate efficient training and inference.

We are looking for people who are passionate about creating amazing web products. People who care about code quality and know how to balance it with simplicity, productivity and product goals. If you are passionate about web development, shipping code fast and making a real impact on the business then were looking for you!
What you will be doing
You will be part of the LTX Studio team. Our team is developing a revolutionary video creation platform built from the ground up with bleeding edge generative AI technology. Each member of our team is responsible for every aspect of our product, from software design to coding, testing, code reviews and automatic deployment to production. We are lean, agile and pragmatic. We practice software engineering best practices and we care about creating beautiful and performant web applications. And most importantly we are passionate engineers who love to build amazing products with technology that feels nothing short of magical.
Your day-to-day job will involve:
Building high-performance front-end features and UI components in React, with a focus on smooth interactions and seamless user experience.
Crafting highly responsive, pixel-perfect UI components with unique interactions that push the boundaries of how content is created in the AI-driven world.
Optimizing application performance, including rendering speed, memory management, and efficient state management.
Contributing to backend development, including API integrations and data handling to ensure smooth communication between the frontend and backend.
Performing rigorous code reviews, maintaining high development standards, and mentoring junior developers.
Staying up to date with front-end trends, best practices, and evolving technologies to continually improve our tech stack and development processes.

We're seeking a Developer Advocate to build and nurture the developer community around our open-source model, LTX Video. This role sits at the intersection of technical development, community engagement, and product strategy, requiring someone who can speak the language of developers while fostering meaningful connections within the AI community.
What you will be doing
Establish and manage community presence across key platforms including Discord, GitHub, Hugging Face, and Reddit
Create and moderate technical discussions around model development, implementations, and fine-tuning
Organize and host AMAs (Ask Me Anything) sessions and other educational webinars
Build and maintain relationships with key community members and developers
Identify and recruit beta testers for new features and implementations
Program Management
Develop and manage a community sponsorship program for outstanding contributors
Create documentation and resources to support community development efforts
Track and analyze community metrics and engagement
Establish best practices for community contribution and collaboration
Coordinate with internal teams to align community initiatives with product roadmap.

[we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of Embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - were reshaping how financial technology is developed and delivered..
The Role:
We are seeking a frontend engineer who can craft intuitive, highperformance web applications that unlock generativeAI capabilities for our customers and internal teams. You will build reactive, datadriven UIschat experiences, content editors, dashboardsthat integrate with our GenAI backend services ( Node.js on AWS) to deliver secure, accessible, and delightful user experiences.
Who You Are:

* Experienced building streaming chat or collaborative editing UIs (e.g., using WebSocket or WebRTC).
* Familiarity with vectorsearch UX patterns (semantic search bars, result ranking visualizations).
* Had Exposure to design systems (Storybook) and Figma collaboration.
* Has Knowledge of authentication patterns (OAuth, Cognito) and secure clientside Storage.
* Background in data visualization (Recharts, D3) for AI analytics dashboards.
What Youll Actually Be Doing:

* Design and implement responsive web applications using React (Next.js) and TypeScript that surface chat, summarization, and creativeassist features powered by LLMs.
* Integrate securely with backend GenAI APIs (REST/GraphQL, WebSocket) and handle realtime streaming of model responses.
* Build reusable UI components (TailwindCSS/shadcn/ UI ) and design systems for prompt inputs, context panes, and feedback collectors.
* Implement clientside observability (OpenTelemetry, Sentry) to monitor latency, errors, and usability of GenAI features.
* Optimize performance through codesplitting, serverside rendering (SSR), and efficient state management ( React Query, Zustand, or Redux Toolkit).
* Collaborate with product designers and ML/ backend engineers to iterate on prompt engineering, UI / UX flows, and evaluation loops.
* Champion accessibility (WCAG 2.1 AA), localization, and responsive design to reach global audiences.
Why Youll Love Working Here:
Were a collaborative, humble, and fast-paced team that takes pride in building real solutions to real problems. Youll work on meaningful products that empower businesses and people, alongside curious, supportive teammates who are always up for a challenge. Innovation and ownership are part of our DNAand were just getting started.

We are At our company, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of Embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - were reshaping how financial technology is developed and delivered..
The Role:
We are looking for a backend engineer who can design, build, and operate highly reliable Node.js services on AWS that enable generativeAI capabilities across our products and internal workflows. You will create scalable APIs, data pipelines, and serverless architectures that integrate largelanguagemodel (LLM) services such as Amazon Bedrock, OpenAI, and opensource models, enabling teams to safely and efficiently leverage generative AI.
Who You Are:

* You have experience building RetrievalAugmented Generation (RAG) systems or knowledgebase chatbots.
* You're Handson with vector databases such as Pinecone, Chroma, or pgvector on Postgres/Aurora.
* Have AWS certification ( Developer, Solutions Architect, or Machine Learning Specialty).
* Experience with observability tooling (Datadog, New Relic) and costoptimization strategies for AI workloads.
* Background in microservices, domaindriven design, or eventsourcing patterns.
What Youll Actually Be Doing:

* Design and implement REST/GraphQL APIs in Node.js /TypeScript to serve generativeAI features such as chat, summarization, and content generation.
* Build and maintain AWSnative architectures using Lambda, API Gateway, ECS/Fargate, DynamoDB, S3, and Step Functions.
* Integrate and orchestrate LLM services (Amazon Bedrock, OpenAI, selfhosted models) and vector databases (Amazon Aurora pgvector, Pinecone, Chroma) to power RetrievalAugmented Generation (RAG) pipelines.
* Create secure, observable, and costefficient infrastructure as code (CDK/Terraform) and automate CI/CD with GitHub Actions or AWS CodePipeline.
* Implement monitoring, tracing, and logging (CloudWatch, XRay, OpenTelemetry) to track latency, cost, and output quality of AI endpoints.
* Collaborate with ML engineers, product managers, and frontend teams in agile sprints; participate in design reviews and knowledgesharing sessions.
* Establish best practices for prompt engineering, model evaluation, and data governance to ensure responsible AI usage.

Why Youll Love Working Here:
Were a collaborative, humble, and fast-paced team that takes pride in building real solutions to real problems. Youll work on meaningful products that empower businesses and people, alongside curious, supportive teammates who are always up for a challenge. Innovation and ownership are part of our DNAand were just getting started.
Next Step:
Hit Apply. Bring your AI vibes. Well bring the challenge - and the snacks.