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We are looking for an IT Business Partner for Finance and HR to join our Information Systems team at our company. In this role you will serve as the primary point of contact between the Finance and HR functions and the Information Systems group, owning the full lifecycle of business applications that support these corporate areas. You will lead the analysis, configuration, and ongoing improvement of our ERP platform and related systems, enabling efficient and scalable financial operations across our global organization. This is a high impact, hands on role that requires both strong business acumen and deep system expertise.
What You Will Do: Own, manage, and support the ERP platform and Finance and HR business applications, ensuring reliable and efficient day to day operations. Translate Finance and HR business needs into clear functional requirements, solution designs, and execution plans. Configure, implement, and continuously improve ERP modules and workflows that support financial processes and HR operations. Collaborate with Finance, HR, IT, and external vendors to deliver high quality system solutions and measurable process improvements. Provide guidance, training, and ongoing support to Finance and HR end users, ensuring effective adoption and correct use of business applications.
Position Intro:
we are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. our company has been innovating for insurers and banks since 2001, with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

Our SAP Department is seeking a SAP EWM Project Manager. We are looking for an experienced SAP EWM Project Manager to lead the implementation of a new logistics center (distribution center) and drive end-to-end SAP EWM project activities, from planning and design through deployment and stabilization. This role requires strong expertise in SAP EWM, logistics and warehouse management processes, stakeholder management, and complex project delivery within enterprise environments. A full-time, hybrid position, based in the Central District of Israel. Key Responsibilities:
* Lead the end-to-end implementation of SAP EWM solutions for a new logistics center.
* Manage project scope, timelines, budgets, risks, and deliverables.
* Collaborate with business stakeholders, logistics teams, IT teams, and external vendors to ensure successful project execution.
* Oversee system design, testing, deployment, user adoption, and post-go-live support.
* Coordinate cross-functional teams and drive alignment between business requirements and SAP solutions.
* Monitor project progress, resolve issues, and provide regular status updates to management.
* Ensure implementation follows best practices and supports operational efficiency within warehouse and logistics processes.

Responsibilities:

Own, enhance, and improve our core platform.

Build and maintain systems for collecting and processing metrics from client environments.

Focus on system efficiency and resilient infrastructure.

Integrate well-known SaaS platforms into our big data repository (e.g., major cloud providers, Datadog, Snowflake).

Optimize Spark and Airflow processes.

Contribute to data design and platform architecture while working closely with other business units and engineering teams.

Face the challenges of testing and monitoring large-scale data pipelines.

We're looking for a Head of R&D, Piano to join us and help scale our teams, technologies, and processes to the next stage of growth. In this role, youll play a key part in building and scaling a high-performing engineering team, ensuring alignment between technology and business goals, and fostering a strong development culture. This is a unique opportunity to combine technical leadership, people management, and organizational influence - all within a fast-paced, high-impact environment.
What Youll Be Doing:
Lead and scale high-performing engineering teams, driving execution, delivery, and growth.
Partner closely with product, design, data, and business stakeholders to shape roadmap and priorities.
Bridge product vision and engineering execution, making strategy actionable.
Own key architectural and technical choices that enable scale and continuous product evolution.
Identify bottlenecks, streamline processes, and boost team velocity through org and workflow changes.
Coach and mentor engineers, fostering growth, ownership, and impact.
Uphold high standards of code quality, collaboration, and engineering culture.

As a Senior Full-Stack Engineer, youll be at the forefront of building and scaling our product from the ground up. Youll work closely with your team, as well as a product and product designer, to design and implement both the front-end user experience and back-end logic that powers our platform.

Youll play a key role in creating modern UI components, building API services, and contributing to core architectural decisions in a high-impact, low-ego team environment.

What youll do:

Design and implement scalable Senior Full Stack Engineer features and components using NodeJS and React.

Build and maintain robust APIs and data pipelines to support the platform.

Collaborate closely with product, design, and engineering leadership on architecture and UX.

Participate in code reviews, testing, CI/CD, and overall platform improvements.

Bring creativity, curiosity, and best practices to everything you build.

we are looking for a Senior Software Engineer.
In this key engineering role in one of our multidisciplinary product teams, you will take end-to-end ownership of the engineering discipline and tasks that will bring the most impact and joy to millions of learners.
All this while quickly learning and adapting to do whatever it takes to solve the unsolvable.

Were looking for a Generative AI Developer to join our forward-thinking engineering team. This role is perfect for someone with a passion for cutting-edge AI, a strong software engineering background, and the creative spark to identify and implement novel use cases within our product.

You will play a critical role in adding AI capabilities to our FinOps SaaS platform. Whether it's enhancing user workflows, automating insights, or inventing entirely new product experiences, youll have both the freedom and support to experiment and execute.

We provide a uniquely rich dataset covering the full scope of a companys cloud spend. This expansive data playground offers a powerful foundation for experimentation and insight generation, enabling the development of intelligent, value-driven features.

Responsibilities:
Lead the charge in transforming our product and preparing it for the agentic age.

Design, build, and deploy generative AI-powered features across our product.

Identify opportunities for AI integration by proactively exploring FinOps use cases and user needs.

Prototype and validate new AI use cases quickly and iterate based on internal and external feedback.

Collaborate cross-functionally with product, design, and backend teams to drive innovation from concept to production.

Stay current with the fast-moving generative AI landscape and evaluate new models, APIs, and tools (e.g., OpenAI, Anthropic, Hugging Face, AWS Bedrock, open-source LLMs).

Live in the future and track new innovations and paradigms in this fast evolving field and identify opportunities to integrate them into the product.

Implement safeguards, prompt engineering techniques, and usage monitoring to ensure high-quality AI outputs.

Optimize model performance, inference time, and cost efficiency within AWS infrastructure.

we are looking for a Backend Team Lead for our global team.
What You Will Do?
Lead the design, development, and optimization of core backend services using Java and modern JVM technologies.
Own the architecture and performance of mission-critical components: data ingestion, processing pipelines, distributed services, storage abstractions, and internal frameworks.
Drive large-scale refactoring, modernization, and reliability initiatives.
Establish and maintain high engineering standards, code quality, and best practices across the entire R&D
Build and improve systems that handle high throughput, low latency, and massive data scale.
Work closely with DevOps/SRE/R&D teams to strengthen infrastructure, observability, automation, and deployment practices.
Diagnose complex production issues spanning multiple services, layers, and technologies.
Continuously improve system performance, resource efficiency, and cost footprint.
Lead, mentor, and grow a team of backend engineers and define best practices for the entire R&D
Conduct technical reviews, coaching, and hands-on training to elevate the teams skill set and the R&D
Collaborate with cross-functional teams to understand platform needs and translate them into a clear engineering roadmap.

Were hiring a Senior Full Stack Engineer to help evolve our AI-first AP Automation platform.

Youll be a key player in building a unified system that gives companies full control and visibility over spending, from invoices to AP credit cards to payments.

This is a high-impact role in a fast-growing startup where AI is not just a feature but a foundation.

Youll architect and deliver scalable, intuitive web experiences that drive efficiency, transparency, and collaboration across the finance workflow.

What You Will Do
End-to-End Development: Build and enhance our platform using Java and React, delivering seamless, performant user experiences across web applications.
AI-Enhanced Feature Delivery: Work closely with AI and product teams to integrate smart automations, faster approval workflows, and contextual user assistance throughout the application- MUST.
Performance Optimization: Ensure responsiveness and scalability of the application, handling large data sets and user volumes efficiently.
Collaborative Problem Solving: Partner with designers, PMs, and fellow engineers to transform business needs into elegant technical solutions.
Clean Code & Best Practices: Write robust, maintainable, and testable code. Participate in code reviews and contribute to engineering excellence.
Continuous Improvement: Keep up with new trends and technologies-especially in AI/ML-and look for opportunities to evolve our systems and architecture.

We are searching for a Software Engineer to join our digital assets group, a group within tasked with creating solutions for digital assets trading and management. You will be part of a strong and dynamic team of experienced developers and researchers that together develop and maintain all elements of the trading infrastructure, while using cutting edge technologies to overcome our unique trading challenges.
We write almost all of our tools in the Rust programming language for superior performance and safety.
The role focuses on developing and maintaining an in-house platform that manages, controls and monitors our ever-growing set of tools and applications. The tools you will write and maintain have challenging requirements on all fronts - performance, resilience, correctness and more.
In this role you can expect to challenge yourself daily and be creative to solve difficult technical problems in a fast-paced and energetic environment, while exposed to a wide range of technologies and challenging problems which require high availability, high-throughput, and latency-sensitive solutions in a cloud environment.

we are looking for an experienced Data Center Operations Engineer to join our IT department. In this role, you will maintain and support a large-scale global server and GPU infrastructure, monitor and troubleshoot hardware failures, and collaborate with senior system specialists to resolve complex issues across production and research environments.
We offer a dynamic, innovative production and research environment and expect a strong commitment to maintaining high service availability, performance, and reliability.
Responsibilities :
Deploy (rack and cable) new servers, GPUs, and infrastructure hardware.
Monitor and troubleshoot IT infrastructure hardware issues across all company data centers.
Coordinate vendor engineers site visits.
Perform hardware break/fix activities including replacement of drives, RAM, CPUs, GPUs, power supplies, and other server components.
Maintain firmware versions up to date.
Manage company data center inventory.
Monitor and manage DC environment parameters including power usage, airflow, cooling, and rack capacity.
Support and keep hardware in an high-performance compute environments used for compute-intensive workloads and research activities.

We are looking for a Software Engineer specializing in ML Systems Engineering to join Development department.
While vision and language models have become increasingly commoditized, proprietary deep learning models are unique, fast-evolving, and deployed in live trading across the worlds most efficient and sophisticated financial markets. Operating in this environment presents distinct scaling challenges and continuous opportunities for optimization. Success in this role requires first-principles thinking and a deep understanding of the engineering trade-offs behind high-performance DL systems.
This is a pivotal role within engineering organization. You will work closely with researchers and engineers across the company, running deep learning models on massive compute clusters and adapting them for production serving under strict and non-trivial constraints.

We are looking for an experienced Data Science Manager to lead and grow our Data Science team. This is a managerial role focused on leading a team of Data Scientists while driving the strategy, execution, and delivery of impactful AI and ML initiatives across our SaaS platform.

You will be responsible for both people leadership and technical direction - ensuring high standards of execution, mentoring team members, and aligning data science efforts with product and business goals. This role requires a strong hands-on background combined with proven team management experience.

What You Will Do
Lead, mentor, and manage a team of 7-10 Data Scientists, fostering a culture of ownership, excellence, and continuous learning.
Own the teams roadmap, prioritization, and delivery of AI initiatives.
Provide technical and architectural guidance across projects.
Drive end-to-end execution of data science solutions - from problem definition and research to modeling, evaluation, deployment, monitoring and enhancement cycles.
Collaborate closely with Product, Engineering, and Business stakeholders to translate business needs into scalable AI solutions.
Ensure production-grade standards, model performance monitoring, and continuous improvement.
Stay up to date with advances in machine learning, GenAI, and LLM technologies, and translate them into business impact.
Take responsibility for hiring, onboarding, and developing top data science talent.

Were hiring an AI Backend Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across Stamplis B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.

This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.

What You Will Do:
Lead & Mentor: Manage, mentor, and grow a team of AI/ML/Backend engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across Stamplis products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.