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Were hiring a Machine Learning 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 ML 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 our 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.

Required Software Developer
Israel: Tel Aviv/ Hybrid (Israel)
R&D | Full Time | Job Id: 25401
Why Join Us?
We are looking for a passionate developer to take part in the development of our hyper-scale and virtualization platforms, protecting our largest customers around the world.
Join a team of driven creative minds united in delivering innovative ultra-high-end scalable platforms providing protection against the ever-changing threat landscape with uncompromising performance, uptime, and scalability.
Key Responsibilities:
Be part of the Hyperscale development group responsible for leading and developing our Ultra-High-End platforms.
Develop infrastructure supporting high-speed/high-performance distributed computing clusters.
Design and develop user-space utilities enhancing installation, upgrades, monitoring, diagnostics, synchronization and more.
Work closely with QA, support, and other R&D teams on development and rising issues.
Lead the adoption of AI-assisted development and intelligent automation across the codebase, designing and implementing AI-driven workflows that improve engineering productivity, code quality, and product capabilities.
Demonstrate strong research quality, driving well-informed technical decisions and solutions.
Lead projects end-to-end, collaborating closely with cross-functional teams to ensure successful delivery.

As part of the team, you will be responsible for developing, testing, improving, and maintaining new and existing solutions to help users retrieve data effectively.
What am I going to do?:

* Build and maintain ETL processes to integrate data from various sources.
* Transform and model data models, design the schemas, and maintain the data layers within the data warehouse using dbt
* Manage the data warehouses to support analytical reporting and Real-Time needs.
* Develop, optimize, and manage database entities.
* Translate business requirements into data model implementations.
* Ensure data accuracy and enforce governance policies through data quality checks and validations.
* Work closely with cross-functional teams, including data Engineers, Business Analysts, Products, and RND, to gather and understand data requirements and implement development in order to support their data needs
* Evaluate and implement new tools and technologies to enhance data processes and capabilities.
* Coordinate and deliver data development projects, ensuring they are completed on time and meeting quality standards.
* Identify and resolve data -related issues and discrepancies. Provide support for data incidents and troubleshoot problems as they arise.
* Stay updated with the latest trends and technologies in the data filed
* Suggest design, product, and process changes for better efficiency and effectiveness.
Equal opportunities:
At our company, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. we are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, our company will provide accommodation to individuals with disabilities or a special need.

Required Backend Software Developer
Israel: Tel Aviv/ Hybrid (Israel)
R&D | Full Time | Job Id: 25310
Why Join Us?
We are building the automation backbone that powers development.
As part of the I/S Group, our team provides the core infrastructure for building, running, and analyzing code quality and automated tests across our products. We design and maintain scalable pipelines, frameworks, and tools that developers and QA engineers rely on every day to ship secure, high quality software faster and with confidence.
We are looking for a developer who enjoys designing robust automation systems, streamlining developer workflows, and making our build and test processes faster and more transparent.
Key Responsibilities:
Design, build, and maintain robust automation infrastructure and services that serve as the backbone of engineering operations.
Develop AI-driven tools and features that empower automation users and elevate developer workflows across the organization.
Enhance and extend existing automation services used by developers across.

We are looking for an experienced Data Science Team Lead 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.

we are looking for a Senior Data Engineer responsible for designing, building, and maintaining the infrastructure necessary for analyzing large data sets. This individual should be an expert in data management, ETL (extract, transform, load) processes, and data warehousing and should have experience working with various big data technologies, such as Hadoop, Spark, and NoSQL databases. In addition to technical skills, a Senior Data Engineer should have strong communication and collaboration abilities, as they will be working closely with other members of the data and analytics team, as well as other stakeholders, to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with the overall business goals and objectives.
What You'll Do
Work closely with data scientists/analytics and other stakeholders to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with business goals and objectives
Design, build and maintain optimal data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources, including external APIs, data streams, and data stores.
Continuously monitor and optimize the performance and reliability of the data infrastructure, and identify and implement solutions to improve scalability, efficiency, and security
Stay up-to-date with the latest trends and developments in the field of data engineering, and leverage this knowledge to identify opportunities for improvement and innovation within the organization
Solve challenging problems in a fast-paced and evolving environment while maintaining uncompromising quality.
Implement data privacy and security requirements to ensure solutions comply with security standards and frameworks.
Enhance the team's dev-ops capabilities.

We are looking for an Affiliate Manager to join our growing Affiliate and Partnerships team. In this role, you will be responsible for recruiting, managing, and optimizing affiliate relationships, with a focus on driving growth and acquisition through performance marketing channels. You will work closely with the Marketing, Product, and Analytics teams to identify high-potential partners, track and analyze performance, and scale affiliate initiatives globally.
This role requires both a strategic mindset and hands-on execution, as youll play a key part in expanding our companys reach through external partnerships and affiliates. This is an exciting opportunity to join a high-impact team at the intersection of fintech, content, and growth, ideal for someone passionate about building strong relationships, working with data, and scaling affiliate programs.
What You'll Do
Own and grow affiliate relationships - Identify, recruit, and onboard new affiliates and content partners, with a focus on high-quality, performance-driven acquisition.
Manage and optimize ongoing partnerships- Monitor daily activity, performance metrics, and KPIs to ensure partners are meeting agreed goals. Take proactive steps to boost partner performance and ROI.
Collaborate cross-functionally- Work closely with the Marketing, Analytics, and Product teams to align affiliate efforts with broader user acquisition and revenue targets.
Deliver campaign analysis and reporting- Prepare regular performance reports, track conversions, and provide data-driven insights and recommendations to improve campaign effectiveness.
Stay ahead of industry trends- Conduct competitor benchmarking and stay current with affiliate marketing trends, tools, and networks in the fintech and investing space.
Hybrid work model, with one in-office day per week at our Ra'anana office.

We are looking for a Senior Data Engineer to take ownership of our evolving data platform.

Our data environment is entering a significant growth phase. We are strengthening our Redshift-based warehouse, expanding our transformation capabilities with dbt, and investing in modern engineering standards across the stack.

In parallel, we are building a dedicated application layer for delivering data products. This role is responsible for designing and owning the data foundations that support it.

AI-assisted development is not a side experiment. It is a core part of how we engineer. We expect this role to actively leverage advanced AI development tools as part of daily work, accelerating design, implementation, validation and documentation while maintaining strong architectural judgment and production-level quality.

This position requires architectural thinking, long-term platform vision and the ability to lead complex initiatives from design through production in an AI-augmented engineering environment.

What You Will Do:

Own the architecture and evolution of our cloud-based Data Warehouse.

Lead complex data initiatives end to end, from requirements definition and technical design through implementation, deployment and post-production optimization.

Apply AI-assisted development workflows to improve engineering velocity, code quality and system reliability.

Design and evolve transformation standards and modeling practices using dbt as a strategic layer within the team.

Architect the data foundations that power our data-driven applications.

Translate business needs into structured, production-grade data solutions.

Drive technical standards, consistency and engineering discipline across the data stack.

Take full accountability for delivery, stability and long-term scalability of the systems you build.

What we're looking for?
We are looking for a Part-Time Spanish (Latin America) Translation Reviewer to join our team. In this role, you will ensure the accuracy, clarity, and cultural appropriateness of our websites Spanish translations for Latin American audiences, with a focus on investment-related content.
You will work closely with our content and localization teams to enhance overall translation quality.
What You'll Do
Review and spot-check automated translations of our investment-focused website content into Spanish.
Ensure translations accurately convey the intended message and are culturally appropriate for Spanish-speaking audiences interested in investing.
Identify and correct errors in grammar, context, terminology, and especially inaccuracies related to investment concepts.
Provide feedback on recurring translation issues to help improve our automated translation system.
Work independently following a flexible working schedule that accommodates academic commitments.

What We're Looking For
Role Overview: We are developing Ask our company - a high-load financial analysis system based on Large Language Models. The architecture is built on complex multi-agent orchestration using LangGraph, FastAPI, and Elasticsearch.
We are looking for a Senior Backend Engineer specialized in Generative AI to design agent workflows, optimize interactions with models (OpenAI, AWS Bedrock), and ensure the reliability of non-deterministic systems in production.
Tech Stack: Python (Asyncio), FastAPI, LangChain, LangGraph, Pydantic, Elasticsearch, AWS Bedrock / OpenAI API, LangSmith.
What You'll Do
Agent Architecture: Design and implement complex agent orchestration logic using LangGraph. You will define state management, conditional routing, and error handling within the agent graph.
Tool Engineering: Build and optimize the tool layer (function calling) that allows LLMs to interact with internal financial APIs and databases accurately.
Performance Optimization:
-Reduce end-to-end latency through asynchronous processing and streaming (SSE).
-Implement semantic caching strategies to minimize API costs and response time.
-Optimize token usage without sacrificing answer quality.
Observability & Evaluation: Implement automated evaluation pipelines using LangSmith. You will be responsible for setting up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment.
Advanced RAG: Refine retrieval strategies. Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion to feed the most relevant context to the model.