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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.

The Role:
We’re looking for a Microsoft Dynamics 365 Senior Developer to take the lead in building seamless, scalable internal systems that power our operations. This role is critical to deliver world-class experiences for both our teams and end users by configuring and integrating Microsoft Dynamics 365 CRM and the full Power Platform suite. You’ll have significant autonomy, working across Dataverse, Power Apps, Power Pages, Power Automate and the broader Microsoft ecosystem. Your work will directly support regulatory compliance, partner success, and internal workflows, reducing tech debt and improving user experience ?You’ll collaborate with peers across time zones, including some US hours overlap, while growing your technical abilities.

Who You Are:

* A proactive problem-solver who thrives in dynamic, collaborative environments
* A strong communicator, fluent in both Hebrew and English (written and verbal)
* Curious, tech-savvy, and driven to implement scalable, maintainable solutions
* Motivated by impact and continuous improvement

What You’ll Actually Be Doing:

* Configure and deliver business solutions using Microsoft Dynamics 365, Power Pages, Power Apps, and Power Automate
* Design scalable data models, security frameworks, and solution architectures within Dataverse and the Power Platform
* Customize Dynamics 365 applications, create automation workflows, and develop Power BI dashboards to support business processes and reporting
* Collaborate with business stakeholders, solution architects, and cross-functional teams to translate requirements into scalable platform solutions
* Evaluate and implement low-code/no-code solutions while balancing configuration and custom development to reduce technical debt
* Design and support integrations between Dynamics 365, Microsoft technologies, and third-party business applications
* Ensure best practices for security, usability, governance, performance, and platform scalability
* Support application lifecycle management, source control, and DevOps processes across Power Platform solutions


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!

We are looking for a talented Software Engineer to join a team building an internal, AI-powered platform designed to significantly improve product quality by identifying edge cases and long-tail scenarios in autonomous driving systems.
Using state-of-the-art Vision and Language models, the team is rethinking how training, validation, and stress-testing are done.
This is a highly impactful engineering role focused on building innovative internal products end-to-end- tools developed from scratch that are designed to become part of the companys daily workflows and directly influence core algorithmic and product decisions.
If youre passionate about deep learning-driven products, large-scale experimentation, and owning complex systems from design to production- this is the place for you.
What will your job look like:
Take part in building an AI search platform from scratch, and owning it end to end in a production environment.
Design and implement full-stack solutions, including backend services, frontend interfaces, and database management.
Work with cloud-based systems, containers, and modern software infrastructure to support performance, scale, and reliability.
Collaborate closely with algorithm developers and internal users to expose complex capabilities in a simple, usable way.

We are looking for a Senior Data Scientist to lead the design and implementation of next-generation AI solutions for Lifecycle Marketing.
As a senior member of our team, you will shape methodology, guide product direction under uncertainty, and represent in high-stakes conversations with customers. Youll combine deep expertise in causal inference, reinforcement learning, and experimentation with strong communication skills to drive impact across the company and with our clients.
Responsibilities:
Own the design and methodology of data science solutions for lifecycle marketing, with emphasis on causal inference, uplift modeling, and reinforcement learning.
Lead the development of experimentation frameworks (A/B/n tests, variance reduction, policy evaluation).
Research, prototype, and productionize multi-armed bandits and contextual RL approaches for personalization and timing optimization.
Take a strong, opinionated role in brainstorming sessions, guiding decision-making in areas of high uncertainty.
Represent Voyantis in front of customers, translating complex modeling decisions into clear business value.
Mentor junior and mid-level team members, raising the technical bar across the team.
Collaborate closely with product managers, engineers, and analysts to align data science strategy with business goals.

We are looking for a Senior Infrastructure Developer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
What Youll Be Doing:
Design, build and set up development tools and infrastructure for use by the various teams in the R&D organization.
Among the different tools:
test infrastructure used by the QA
Maintain and develop API and interfaces facing the company storage product + different cloud providers.
full stack bug investigation portal
VM orchestration
Collaborate with other teams to improve the productivity of the entire R&D organization.
Dealing with diverse technologies and domains - Docker, Git, Python, Linux, Python, Storage.

We are seeking a Senior Full-Stack Engineer with a deep specialization in Backend Engineering to architect and implement our agentic storefront platform. This is not a traditional full-stack role, you will be responsible for building a high-performance ecosystem where deterministic reliable UI components interface with autonomous AI agents.

Your work will span the entire technical stack- from engineering the orchestration layers for AI agents to developing the robust backend services that empower ML models, connecting to our data layer. These systems allow our storefronts to process market dynamics in real-time and deliver a hyper-personalized, data-driven experience for every customer.

What you'll do
Architect the Agentic Storefront Framework: Design and evolve a robust, fully configurable React component library that serves as the deterministic foundation for our autonomous, agent-driven storefronts.
Orchestrate Multi-Agent Systems: Construct a sophisticated team of AI agents capable of autonomously building and scaling premium online stores on Shopify using your core UI library.
Engineer High-Performance Backend Services: Develop the low-latency golang services that power our personalization layer, ensuring every customer visit is unique, data-driven, and hyper-relevant in real-time.
Bridge the AI & Commerce Gap: Build the orchestration layer in golang that allows AI agents to perceive market dynamics and translate those insights into immediate, programmatic adaptations within the Shopify ecosystem.
Scale the Agentic Data Layer: Design the backend architecture and data structures that empower agents with the context needed to make intelligent, store-level decisions at scale.
Define Engineering Standards: As a senior owner, you will establish the architectural patterns, coding standards, and best practices for golang and React development across our agentic platform.

As a Senior Software Engineer you'll help build and evolve our AI Agent platform for IT Service Management. You'll take end-to-end ownership of product features, collaborate closely with cross-functional teams, and deliver AI-powered capabilities for enterprise customers.
What you'll do:
Build and scale full-stack features across frontend, backend, and AI agents.
Develop AI agents using Claude, Gemini, and OpenAI APIs.
Design reliable, scalable, and cost-efficient agent workflows using context management, prompt caching, and tool use.
Define engineering standards and contribute to architecture decisions.
Work closely with product, engineering, and research teams.

we are seeking a Senior AI Implementation Specialist! we are seeking a?Senior AI Implementation Specialist to establish and lead enterprise AI solutions, with an emphasis on creating an internal digital marketing infrastructure based on AI, smart agents, and automations. The role includes end-to-end characterization (scoping/requirements gathering), setup, and implementation of AI solutions, while working closely with business stakeholders, technical teams, and external vendors. Location: Bnei Ayish

We are a dynamic and innovative team in search of a seasoned Backend Software Engineer to join our ranks. As a key contributor to our flagship product, you will play a pivotal role in shaping the future of our company. We are on the lookout for a candidate who thrives in a challenging, fast-paced environment and is eager to lead feature development from concept to production.
What you will be doing: 
As a Software Engineer, you will be at the forefront of feature development, actively participating from the design phase through to production release. Your primary responsibilities include writing code, analyzing data, and contributing to the design and implementation of software. You will take charge of high-impact features that are eagerly anticipated by both new and existing customers. Your expertise will be crucial in maintaining a focus on quality and agility throughout the development process.

we are seeking a Senior Python Software Engineer to join our high-impact Risk Team. The Risk Team sits at the heart of our decisioning engines, powering every product through a state-of-the-art fusion of predictive machine learning models and real-time market strategies.
In this role, you will lead backend development for new financial products, working closely with ML Engineers to build robust, fault-tolerant infrastructure that supports complex predictive models. You will design and scale high-volume, low-latency systems that execute critical financial decisions in milliseconds. We are looking for an engineer who understands end-to-end software architecture and possesses the business acumen to transform strategic goals into engineering reality.
Key Responsibilities
Architect & Build: Design and implement resilient, low-latency backend solutions capable of handling high-throughput, high-availability demands.
Solve Complex Systems Challenges: Tackle intricate architectural problems by applying deep expertise in distributed systems and performance optimization.
Cross-Functional Collaboration: Partner closely with ML engineers, product managers, and data scientists to operationalize decisioning logic smoothly.
Maintain & Scale Infrastructure: Safeguard system health, ensure continuous operational stability, and optimize runtime performance.
Drive Technical Excellence: Advocate for clean code, solid design patterns, robust testing, and maintainable software architecture.
Mentor & Empower: Elevate the engineering team by mentoring junior developers, leading technical discussions, and fostering a culture of continuous learning.

As a Senior Backend Engineer at our company, youll be a core builder with a strong infrastructure mindset, responsible for designing and delivering backend systems that can support several billion data points collected daily, with high reliability and real-time visibility.
This role is for someone who can own complex systems end-to-end, move fast, build from scratch, automate everything possible, and create production-grade infrastructure that scales.
Responsibilities
Build and own backend infrastructure handling billions of data points daily
Design scalable services with reliability, automation, and observability
Enable daily monitoring at scale with strong SLAs
Build parallel execution systems to cut processing and report times
Deliver real-time monitoring and alerting for system and data health
Reduce manual work through automation, tooling, and processes
Own delivery end-to-end: architecture → production → performance.

Were looking for a strong backend engineer to join us in building disruptive technology in the IoT space. As part of our team, youll design and implement scalable management systems, solve complex problems, and shape the future of IoT through innovative software solutions.

Responsibilities:
Design solutions for data intensive pipelines, considering large scale, high availability, security, robustness, performance, multi-cloud and multi-tenancy.
Provide high standard architecture, design and implementation.
Work with cross-functional stakeholders such as product management, additional SW engineers, architects and team leads.
Excel at all facets of the development life cycle: Requirement Analysis, Coding, Quality, CI\CD, TDD, Integrations, Deployment, Monitoring.
Maintain highly reliable production operation.

Required Senior BI Analyst
About the role:
Data only creates value when people can see it, trust it, and act on it. As Senior BI Analyst, you own that last mile: the BI platform everyone opens to answer their questions, and the KPI definitions that make sure the numbers on every dashboard mean the same thing across every team.
This is the business-facing anchor of our analytics function. You'll build and govern the reporting layer, define the metrics that leadership runs the company on, and lead the Business Analyst guild - the network of domain analysts embedded across GTM, Finance, CS, and Product. You're equal parts platform owner, metrics authority, and enabler of the analysts around you.
If you love turning messy business questions into clear, trusted, self-serve answers - and raising the analytical bar for a whole company while you do it - this role is for you.
What youll own:
Own the BI platform end-to-end - Design and manage the dashboard architecture, set standards for report building and certification, manage access/governance, and keep the platform performant and trusted
Define and govern company-wide KPI metrics - Build a certified KPI catalog with documented logic and ownership; arbitrate metric definitions across teams so "win rate" means the same thing everywhere and is encoded once in the semantic layer
Drive self-serve analytics adoption - Empower stakeholders to answer their own questions by making the platform accessible, intuitive, and built on trusted definitions
Co-lead the Analytics guild - Convene and lead the company-wide community of practice connecting domain analysts; run enablement, tooling decisions, and reviews to keep everyone aligned on standards and the certified KPI catalog
Bridge analytics and engineering - Partner with the AI Data Engineer to ensure business definitions translate consistently into technical implementations across dashboards and AI agents
What you'll do day to day:
Design, build, and maintain governed dashboards and reports that stakeholders actually use.
Curate the certified KPI catalog - definitions, logic, ownership, and change control.
Partner with GTM, Finance, CS, and Product to translate business questions into clear, reusable metrics.
Drive self-serve BI adoption and reduce ad-hoc reporting requests.
Run the Business Analyst guild: standards, reviews, enablement, and tooling.
Work with data engineering to keep KPI definitions aligned with the semantic layer and underlying models.
Own the health of the BI platform: access, performance, certification, and cleanup.

Prisma Photonics is a rapidly growing startup company, developing the next-generation smart-infrastructure solutions based on novel fiber-sensing technology. The company offers an award-winning disruptive solution: a “sensor free” approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art AI, we help protect human lives and keep critical energy. We're seeking a Senior Data Analyst to take a key role in unlocking the value of our vast datasets collected over years and across a diverse client base. In this role you’ll dive deep into data related to power line capacity, macro-scale and micro-scale weather, grid resilience, conductors and more. Your work will directly influence how we optimize grid performance and respond to the challenges of today’s energy landscape. This role requires a combination of technical skills, analytical thinking, and business acumen. The ideal candidate is highly skilled in data analysis techniques and tools and has a strong ability to translate data insights into actionable recommendations. You’ll thrive here if you enjoy blending technical expertise, critical thinking, and business understanding to drive smarter, data-informed decisions.

What You’ll Do:

* Collect and integrate data from various sources, including fiber-based data, weather stations, line sensors, and SCADA systems.
* Be a part of the product management team - explore customer needs, define data products and processes, and align outputs of the data science team with the company roadmap.
* Ensure data quality and consistency for accurate analysis and reporting.
* Conduct statistical analysis and use data visualization tools to present findings.
* Monitor and evaluate the performance of Dynamic Line Rating (DLR) systems and grid resilience detectors and identify opportunities for improvement.
* Provide data-driven insights and recommendations to support decision-making processes.
* Interpret and communicate results to customers and management in a clear and concise manner.
* Present key findings of your analysis to customers around the globe.

What You Bring:

* B.Sc. degree in a related field. (M.Sc./Ph.D. is an advantage)
* Experience with AI-native development environments and automation with coding agents.
* At least 5 years of experience in data analysis, business intelligence, or a related field.
* Proficiency in data analysis tools such as SQL, Python (Pandas, Jupyter, Plotly).
* Experience with product management skills, driving data science and data engineering teams, experience with open ended data tasks and explorations.
* Knowledge of statistical analysis techniques and methodologies.
* Familiarity with database management systems and data warehousing.
* Strong data visualization and presentation skills in English (foreign customers).
* Experience with data visualization tools like Tableau, Power BI, Grafana, Python Plotly or similar.
* Excellent communication and teamwork skills.
* A curious mindset and a passion for solving complex problems.

We are looking for a Senior AI Software Engineer to build the agents that sit on top of our search platform: systems that take a user's intent, break it into steps, gather and verify information from the web, and return answers an agent can act on. You will work across applied research and engineering, designing how agents plan, call tools, retrieve, and reason so they accomplish open-ended tasks reliably and at scale.

This is a high-ownership role at the intersection of agent systems, retrieval, and product. You will turn frontier-model capabilities into dependable, production-grade agent behavior, and you will own that behavior end to end, from the prompts and tools to the evaluation that proves it works.

In this position, your responsibility will be to

Design and build AI agents that plan, retrieve, and reason over real-world information to complete open-ended tasks

Build the tool interfaces and context engineering that let frontier models use our search and other tools effectively

Mine and analyze usage data to build agents that learn and improve continually from how they are used

Turn new model capabilities into reliable product features, and own them from prototype to production

Define the evaluations, metrics, and guardrails that prove an agent is accurate, grounded, and safe

Improve agent quality across reasoning, planning, tool use, and grounding against real user tasks

Build the backend and infrastructure that run agents reliably under high volume

Collaborate with the search, ML, and product teams to make agent and platform capabilities reinforce each other

We are looking for a highly skilled Computer Vision & Algorithms Engineer to take ownership of core perception and decision-making modules - bridging the gap between machine learning outputs and real-world robot behavior.
In this role, you will turn noisy, imperfect sensor data and incomplete computer vision outputs into robust, actionable decisions, ensuring reliable system performance in challenging outdoor conditions.
This is a hands-on, high-impact role in an early-stage startup, requiring strong ownership, fast iteration, and comfort working in ambiguous, real-world environments.
What You'll Do:
Own the design, implementation, and validation of perception post-processing and decision-making modules
Transform ML and computer vision outputs (e.g., 3D point cloud segmentation, sensor data) into reliable, structured representations
Develop algorithms for noise filtering, tracking, and spatial reasoning under uncertainty
Design and implement decision logic for robot target selection and behavior
Develop and improve computer vision and 3D perception pipelines for real-world deployment
Work closely with ML engineers to define interfaces, handle uncertainty/confidence, and improve system robustness
Deploy and optimize algorithms on embedded edge platforms (NVIDIA Jetson)
Write production-grade C++ code and prototype in Python
Debug and iterate using real-world flight data and field tests
Lead the module validation within the integrated robot environment and field-test scenarios