לוח משרות דרושים

We are looking for a Senior Data Platform Engineer to design, build, and scale next-generation data platform, the backbone powering our AI-driven insights.
This role sits at the intersection of data engineering, infrastructure, and MLOps, owning the architecture and reliability of our data ecosystem end-to-end.
Youll work closely with data scientists,r&d teams, analysts to create a robust platform that supports varying use cases, complex ingestion, and AI-powered analytics.
Responsibilities:
Architect and evolve a scalable, cloud-native data platform that supports batch, streaming, analytics, and AI/LLM workloads across R&D.
Help define and implement standards for how data is modeled, stored, governed, and accessed
Design and build data lakes and data warehouses
Develop and maintain complex, reliable, and observable data pipelines
Implement data quality, validation, and monitoring frameworks
Collaborate with ML and data science teams to connect AI/LLM workloads to production data pipelines, enabling RAG, embeddings, and feature engineering flows.
Manage and optimize relational and non-relational datastores (Postgres, Elasticsearch, vector DBs, graph DBs).
Build internal tools and self-service capabilities that enable teams to easily ingest, transform, and consume data.
Contribute to data observability, governance, documentation, and platform visibility
Drive strong engineering practices
Evaluate and integrate emerging technologies that enhance scalability, reliability, and AI integration in the platform.

we are looking for a Senior Data Scientist.
As an Applied Researcher, you will play a central role in advancing our AI capabilities -fine-tuning and optimizing large language models to extract legal insights and power intelligent decision-making at scale. Youll explore new model architectures, training paradigms, and evaluation methods to push research from experimentation to impactful, production-ready innovation.
Youll collaborate closely with data scientists, engineers, and domain experts to design and validate research prototypes, integrating cutting-edge methods such as model distillation, retrieval-augmented generation (RAG), and knowledge-graphbased reasoning.
Responsibilities:
Design and evaluate new model architectures, training objectives, and loss functions that enhance generalization and domain adaptation.
Research and innovate in areas such as model compression, knowledge distillation, and retrieval-augmented generation (RAG) to improve inference efficiency and interpretability.
Publish and present innovative findings internally and externally to advance the organizations leadership in applied AI research.
Collaborate cross-functionally with engineering, product, and data science teams to transition research prototypes into scalable production systems
Drive measurable impact by translating research innovations into deployable solutions that improve model performance, scalability, and user outcomes.
Contribute to the research community through publications, open-source contributions, or collaborations, showcasing thought leadership in LLM fine-tuning and applied AI innovation.

We are seeking a Senior Full Stack Developer to play a key role in scaling the platform that powers legal data operations. In this role, you will not only drive the development of complex, high-impact systems but also mentor and elevate the engineering team. Youll work across the stack-from frontend experiences to backend services in Node.js-while shaping the future of our AI-driven features and strengthening our data workflows through ETL pipelines.
This is a unique opportunity for a proactive and technically sharp engineer who thrives on solving complex problems, setting technical direction, and helping others grow. If youre passionate about system architecture, modern development practices, data engineering, and building AI-powered solutions, wed love to hear from you!
Responsibilities:
Collaborate with product managers, designers, and other engineers to design, develop and test our innovative products.
Mentor other engineers, providing technical guidance, define and apply engineering best practices (coding standards, software development methodologies, etc.) to leverage the team technical skills and leading the technical side.
Continuously improve the performance, reliability, and security of our applications through design reviews, code reviews, refactoring, and optimization.
Identify and resolve technical challenges and bottlenecks in a timely manner.
Stay updated with emerging technologies and industry trends, and assess their potential impact on our products and processes.
Collaborate with cross-functional teams to translate business requirements into technical solutions.

Were seeking a resourceful Legal Intelligence Analyst to help scale and streamline our Labor Law Legal Intelligence team. In this critical role, youll drive case production, vetting, and writing while building processes and systems that support growth. The ideal candidate has hands-on data analysis, WEBINT, and OSINT experience, and deep knowledge of U.S. law. If you can cultivate sources, verify leads, quickly sift large volumes of online information, and have exceptional English writing skills, wed love to hear from you.
Responsibilities:
Execute targeted investigations using WEBINT & OSINT
Rapidly parse high-volume information and produce high-quality reports that explain the case narrative and issues, articulate legal theories, map elements to facts, and cite controlling authority (statutes, regulations, and case law)
Develop data-driven underwriting assessments grounded in the available evidence
Use data, AI, and innovative thinking to uncover large-scale legal violations.
Conduct legal research to support investigations as needed.
Develop creative methodologies for analyzing and interpreting unstructured data.
Collaborate with the team to maintain high production quality and identify emerging legal phenomena.
Assess and verify the reliability of diverse sources (legal and otherwise).

We are seeking a highly motivated and detail-oriented Buyer to join our Global Procurement team.
This role will also support travel administration for our Israel, EU, and UK operations.
The ideal candidate will thrive in a dynamic, fast-paced environment, building trusted partnerships across the organization and with external vendors.
Key Responsibilities
Procurement
Lead sourcing and purchasing for assigned departments, ensuring compliance with company policies and cost optimization.
Manage supplier relationships, conduct negotiations, and oversee the end-to-end procurement process.
Analyze quotes and contracts
Working with legal teams.
Maintain and update supplier records, support vendor onboarding and documentation.
Collaborate cross-functionally with stakeholders in Legal, Marketing, Finance, and other business units.
Identify opportunities for cost efficiencies.
Travel Administration
Oversee travel bookings and meeting venue arrangements for business travelers in Israel, EU, and UK.
Partner with business requestors to plan travel itineraries, accommodations, and event logistics.
Analyze travel and meeting spend, define cost benchmarks, and prepare regular reports.
Ensure compliance with company travel policies and support travelers with documentation and issue resolution.
Negotiate rates and contracts with travel and meeting service providers.

We are seeking an experienced Data Engineer with a strong background in BI and Data Engineering, excellent problem-solving skills, and the ability to work independently and learn quickly.
Role Overview
You will join a dynamic team responsible for designing and implementing end-to-end data solutions on the Microsoft Fabric platform. This role involves:
Building and maintaining robust data processes.
Driving adoption of new technology within the organization.
Ensuring scalability, performance, and reliability of data solutions.
Responsibilities:
Collaborate with leaders, stakeholders, and product managers to understand data requirements and deliver effective BI solutions.
Design, develop and maintain robust data pipelines for efficient data ingestion, processing, and storage.
Optimize data storage and retrieval processes for optimal performance.
Monitor data pipelines and systems consistently to identify performance issues, ensuring timely maintenance and troubleshooting.
Create and maintain documentation of data processes and systems.