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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 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.

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.

What We're Looking For
Role Overview: You will take ownership of the search infrastructure for Ask our company - a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques.
Tech Stack: Elasticsearch (v8+), Python (FastAPI, Asyncio), OpenAI Embeddings, LangChain, LangSmith.
What You'll Do
Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth').
Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith).
Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts.
Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters.
Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily.

we are looking for a Technical Account Manager 2.
A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available.
A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value.
What Youll Do:
Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes
Analyze customers IT Operations environment on a regular basis and provide recommendations that will maximize value.
Be the customers advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements
Participate and prepare for Monthly and Quarterly Business Reviews with customers
Collaborate with product management, engineering and technical services teams to help identify new features and products
Continuously evolve best practice to technical product adoption and customer success

We seek a skilled Senior Infra Backend Engineer to join our R&D office in Tel Aviv, working in a hybrid and flexible model.
Youll collaborate with a top-tier R&D team and take your professional growth to the next level. Our backend infra teams work mainly with Python and Go, but we welcome talented backend engineers from any language background.

Key Responsibilities

Design and build scalable pipelines processing billions of events daily.

Dive deep into infra technologies and optimize them at scale.

Lead major efforts from idea initiation → design → implementation.

Tackle complex challenges in scalable architecture within our AWS environment.

Integrate and leverage top industry technologies such as Kafka, Iceberg, DynamoDB, Postgres, EMR, Kubernetes, Druid, Snowflake, and more.

We seek a skilled Infra Backend Engineer to join our R&D office in Tel Aviv, working in a hybrid and flexible model.

Youll collaborate with a top-tier R&D team and take your professional growth to the next level. Our backend infra teams work mainly with Python and Go, but we welcome talented backend engineers from any language background.

Key Responsibilities:

Build and optimize data pipelines handling large volumes of streaming and batch data in real time with high reliability and low latency.

Design, develop, and maintain backend services responsible for integrating with a wide variety of APIs, webhooks, and partners.

Own features end-to-end architecture, implementation, deployment and monitoring.

Ensure data accuracy and consistency across ingestion, transformation, and storage layers.

Collaborate with product, data engineering, and customer-facing teams to understand edge cases, fix production issues, and improve partner integrations.

Integrate and leverage top industry technologies such as Kafka, Iceberg, DynamoDB, Postgres, EMR, Kubernetes, Druid, Snowflake, and more.

We are seeking a Customer Solutions Engineer to handle pre and post-sale technical activities and ensure:
Understanding the customer needs
Proposed tailored solutions to customers
Successful deployment and support of our Solutions at customer sites.
This role involves close collaboration with the sales and the customers, providing both technical expertise and hands-on assistance during sales process, system implementation and ongoing maintenance.
Responsibilities:
Working closely with sales teams on proposals and sales presentations.
Acting as a technical expert in meetings with customers and prospects.
Collaborating with customers to advise effective solutions incorporating our products.
Comprehending customer needs and devise solution requirements.
Answering customer requests for information as well as proposal requests.
Develop requirements and turn them into functional solutions.
Executing Demos and POCs on customer site.
Provide Tier 1-3 technical support, including issue reproduction, troubleshooting, and documentation of system events.
Perform onsite and remote installations of our products worldwide.
Diagnose, analyze, and resolve system issues, including root cause analysis and detailed reporting to customers.
Conduct onsite customer training during initial installation and as needed thereafter.
Manage assigned support cases and maintain accurate records in the companys tracking system.
Document all service and installation activities through detailed reports and logs.

We are looking for a Staff Engineer who will act as a technical owner and multiplier-driving architecture, influencing the roadmap, and ensuring our APM platform remains robust, scalable, and easy to adopt and our customers grow.
Staff Engineers are expected to deliver impact through technical leadership, not just individual contribution. This role offers the opportunity to shape a foundational observability product used at massive scale.
operates as a hybrid workplace, valuing in-person collaboration while supporting work-life balance.
What Youll Do:
Own major technical areas of the zero-instrumentation APM system, from design through long-term evolution and operational maturity
Define and drive architecture for kernel-level traffic capture, L7 protocol decoding, and metric extraction using eBPF and Go
Lead high-impact initiatives addressing protocol parsing, TLS visibility, kernel compatibility, and performance at scale
Set technical direction and standards for reliability, performance, and maintainability across the team
Partner cross-functionally with Agent, Tracing, Security, Runtime, and Product teams to align on system design and roadmap priorities

we are looking for a Senior Backend Software Engineer.
As a Senior Software Engineer on the Product Analytics Backend team, you'll join a new, fast-growing product area. You will help define our technical vision, influence the product roadmap, and solve complex engineering challenges at scale.
In Product Analytics, we consume and process data from multiple sources: clickstreams, user information, and data from third-party systems. Your work will be central to building a robust and flexible system that can ingest, manipulate, correlate and store all this data to have it efficiently queried by our end users.
What Youll Do:
Design, build, and maintain core backend systems for Product Analytics, ensuring scalability, reliability, and high performance
Drive technical architecture decisions in alignment with product goals and collaborate closely with frontend and platform teams
Work with our core platform teams to tailor Datadog's storage and query solutions to our needs
Create a strong team culture aligned with our engineering standards and our customer focus
Participate in hands-on engineering work including coding, code reviews, and design reviews

As a Backend developer in the team, you will be a part of delivering new features, as well as building core components with performance in mind. This role is ideal for a highly skilled developer who is passionate about building scalable and reliable infrastructure and thrives in a fast-paced, innovative environment.
What youʼll do:
Implement and deliver new features according to productsʼ requirements
Implement enhancement features and build the infrastructure to support the scale of the product.
Participate in design discussions and code reviews
Develop unit and integration tests
Assist in solving real-time customer issues.