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Requirements:
4+ years of experience as an analyst or a similar background
AI Savvy A keen interest in and understanding of AI and machine learning concepts must
Strong experience in SQL and BI tools (Tableau) must
Proficiency in Python for data analysis, including experience with relevant libraries and working with APIs to extract and integrate data from various sources
Strong technical skills and excellent communication skills working with multiple RnD stakeholders in a fast paced environment
Exceptional ability to understand data flow and to transform it into insights
A proactive and assertive individual with strong incident management skills, capable of driving changes to methodologies and bringing fresh ideas to the table.
Bonus points if you have:
Experience working in the AD-Tech industry.

Requirements:
M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
Strong knowledge in Python
Good knowledge in Java, Scala or C++
Familiarity with statistical modeling techniques
5+ years of hands on experience with coding machine learning/statistical modeling based solutions
Experience in data analysis and visualization and strong knowledge in SQL
Possess strong problem solving and critical thinking skills
Bonus points if you have:
Experience in developing models using deep learning techniques and tools
Experience in developing software within a distributed computation framework.

Requirements:
6+ years of experience in native iOS development.
Proficient with Xcode, iOS SDK.
Excellent understanding of ObjC, Swift.
Strong understanding of the principles of OOP/OOD, and Design patterns.
CocoaPods, Carthage, SPM knowledge.
Strong debugging skills, including network proxying (Charles Proxy or Proxyman)
Code signing principles (Creating certificates, provision profiles etc)
Keychain knowledge
Working with RESTful APIs and web services.
Up to date knowledge of recent iPhone OS features and restrictions.
Independent learner, care for small details, team player, able to work remotely if needed, agility to work in a fast-paced, dynamic environment.
Bonus points if you have:
Experience in developing, testing and publishing iOS frameworks/libraries
Experience and proficiency in Webkit
Web debugging skills (WebView debugging)
Experience with SwiftUI
Experience with writing unit tests and system tests
Experience with Javascript / TypeScript
Understanding of Apple attribution (SKAN4.0)
Experience in Developing for CI/CD, preferably Jenkins.

Requirements:
Our ideal candidateMust have Strong background in C / C ++ and CUDA. Extensive experience in code profiling and performance optimization techniques. Outstanding problem-solving skills. Independent, quick learner.Advantage Strong mathematical background. Deep understanding of AI algorithms. MSc/PhD in Math, CS, EE, or a related field.

Requirements:
Must:
At least 10 years of hands-on development experience.
Linux Embedded expertise.
Electrical/Embedded SW engineering background (academic or professional).
Demonstrated proficiency in C/C++ programming.
Developed real-time devices for industry/automotive/military.
Extensive experience (developing and debugging) signal processing, RTOS, drivers and memory, and caching.

Strong advantage:
Experience in image processing.
Develop both CPU and GPU SW modules for various SoC architectures.
Experience in AI applications.
Experience in Automotive.

Requirements:
5+ years of experience in backend systems engineering.
Relevant educational background in Computer Science, Software Engineering, or a related field.
High Proficiency in the Python programming language.
Extensive experience with Docker, microservices architecture, and Kubernetes (or other process-mesh).
Experience with cloud-based development.
Proficiency in working with various databases, e.g., MongoDB and Cassandra.
Strong knowledge of NoSQL databases.
Experience with data management, processing, and analytics.
Expertise in implementing and managing monitoring solutions.
Familiarity with Web UI development (advantage).

Requirements:
7+ years of backend development experience in JVM-based environments (Java/Kotlin Kotlin preferred)
Experience with distributed, microservice-based architectures
Deep understanding of both RDBMS and NoSQL databases
Experience working with high-scale data and traffic, including tools such as Redis, MongoDB, Kafka, Kinesis
Solid knowledge of cloud services, Docker, CI/CD pipelines, and Kubernetes

Requirements:
Proven Leadership: 8+ years in data/AI roles, with ≥3 years managing multi - disciplinary teams.
Strong Communicator: Exceptional ability to translate complex technical work into clear, business-focused updates for all audiences.
Cross - Functional Collaboration: Track record working closely with Product, Software, Hardware, and Sales to deliver integrated solutions.
Model Lifecycle Management: Expertise in MLOps practices - CI/CD for models, feature stores
Educational Background: BS/MS in CS, Engineering, Data Science or related field (PhD a plus).
Partner with Product and the CTO to define and track KPIs and ROI for Data & AI efforts, ensuring technical work drives measurable business impact.
Beneficial Technical Expertise:
Data Engineering: Streaming/batch pipelines (Airflow, Kafka, Spark).
Machine Learning: TensorFlow or PyTorch; Custom architecture design for object detection, classification, and inference optimization.
Cloud Platforms: AWS (SageMaker, Glue, EMR), Kubernetes, IaC (Terraform/CloudFormation).

Requirements:
We are building a purpose-driven digital marketplace that helps people find the homes, cars, and services they truly need faster, smarter, and more intuitively. We're seeking a passionate and experienced Senior backend Developer to join our team.
This is a chance to make a real impact by building robust, high-performance APIs and scalable backend architecture. If you're a self-starter with a passion for clean code and a desire to help people, we want to hear from you. What youll do:
Design, develop, and maintain complex and scalable backend systems.
Build and expose high-performance and reliable APIs.
Work with event-driven architectures using RabbitMQ for distributed processes.
Design and optimize queries and data architecture in PostgreSQL.
Work with large-scale data, identify bottlenecks, and design smart algorithmic solutions.
Collaborate closely with frontend, data, and Product teams to translate business needs into robust technical architecture.
Write clean, secure, OOP-based code, following best practices and security standards. What were looking for:
7+ years of experience in backend development in complex production environments.
Strong expertise in.NET Core ( C #) and Entity Framework.
Hands-on experience with RabbitMQ and event-driven architectures.
Solid knowledge of PostgreSQL, including schema design, complex queries, and performance optimization.
Strong understanding of problem-solving and algorithmic complexity (Big O, data structures, scalability).
Experience working with distributed systems and cloud infrastructures a plus.
Ability to work independently while thriving in cross-functional teams.
system -level thinking, creativity, and a passion for writing clean, maintainable code. 

Requirements:
BS or MS in Computer Science, Computer Engineering, or a related field
5+ years of experience managing infrastructure or systems in high-performance or distributed environments.
Expertise in scripting and automation using Python, Ansible, and Shell.
Practical experience with modern CI/CD tools and infrastructure-as-code frameworks.
Strong understanding of Linux, networking, and distributed system design.
Proven ability to break down monolithic systems into scalable, loosely coupled components.
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Ways to stand out from the crowd:
Experience with cluster management tools like Slurm.
Familiarity with our company DGX/HGX systems and GPU-based clusters.
Knowledge of observability tools such as Prometheus and Grafana.
Proven ability to lead DevOps process improvements and drive team efficiency.

Requirements:
7+ years of engineering experience, including at least 1-2 roles in a leadership role managing cross-functional technical teams.
Proven track record in DevOps, CloudOps, and Production Engineering, with deep familiarity in cloud infrastructure (e.g., AWS, GCP, or Azure).
Strong experience with Kubernetes (K8s) and container orchestration for scalable infrastructure and modern deployment patterns.
Demonstrated experience in managing FinOps, cost optimization, and enterprise-readiness initiatives.
Excellent communication skills and the ability to collaborate across departments and stakeholders.
Enthusiasm for the evolving AI-native software development lifecycle and incorporating AI tools into engineering workflows.

Requirements:
Requirements:
3-6 years of DevOps experience.
Strong understanding of DevOps/SRE concepts: CI/CD, Branching/Deployment/Testing strategies and so on.
English language of upper intermediate or more. Were working in an English speaking environment and need to communicate with our customers via Slack/meetings, write documentation, etc.

Proven production experience with:
Cloud services: AWS, GCP, or Azure (self hosted clouds are also welcome)
IaC tools: Terraform, Terragrunt (CloudFormation, Pulumi, Crossplane optional).
Docker/Docker Compose.
Kubernetes: managed & self-hosted clusters, multi-environment setups, multi zones, autoscaling, etc.
Configuration management tools: Ansilble, Chef.
CI/CD tools Jenkins, GitLab, GitHub Actions, Argo.
Monitoring and logging systems: ELK/EFK, PLG, Kube Prometheus Stack (Victoriametrics, Logs.io, NewRelic, Datagod optional).
Secrets management tools: Hashicorp Vault, AWS Secret Manager.
Bash and one of programming language like Python/Golang
Linux!
Network problem troubleshooting (TCP/IP, HTTP, DNS, etc.).

Requirements:
8+ years of hands-on experience in backend or data engineering roles, with 3+ years in senior/staff-level positions
Proven ability to design, implement, and maintain large-scale distributed systems
Strong coding skills in a modern backend language (e.g. Python, Kotlin, Java, Scala), with clean, testable design patterns and production-ready code
Expertise in relational and non-relational databases, especially PostgreSQL and columnar or analytical storage systems (e.g. SingleStore, ClickHouse, Redshift, BigQuery)
Solid experience with streaming platforms like Apache Kafka
Familiarity with data orchestration and pipeline frameworks (e.g. Airflow, Dagster)
Comfortable working in cloud environments (AWS, GCP, or Azure)
Proficiency in infrastructure and deployment workflows (CI/CD, observability, monitoring)
Ability to work across teams and influence architectural decisions at the org level

Requirements:
A Bachelors or Masters degree in Human-Computer Interaction, Psychology, Cognitive Science, or a related field
Proven experience (23 years) as a UX expert in B2B SaaS
Deep understanding of core UX principles and the ability to apply them in real-world product scenarios
Expertise in both qualitative and quantitative research methods, including usability testing, surveys, interviews, and data analytics
A portfolio demonstrating strong UX thinking and user-centered design approach
Strong analytical skills with the ability to translate complex data into meaningful insights and design recommendations
Excellent communication and collaboration skills
A proactive, empathetic, open-to-feedback, and detail-oriented mindset
An AI-forward mindset with hands-on experience using AI tools to enhance research and workflows
Fluency in English, both written and spoken

Requirements:
5+ years of experience as a Product Manager, with a track record of owning and delivering product roadmaps in B2B SaaS environments.
Strong strategic thinking and analytical skills, with the ability to define KPIs, connect features to business impact, and drive prioritization decisions based on data and user feedback.
Excellent cross-functional collaboration and leadership skills able to align across R&D, Design, Product Marketing, and GTM teams.
Proven ability to lead execution, resolve ambiguity, and deliver impactful outcomes in complex and fast-paced environments.
Exceptional communication and storytelling abilities, with a talent for clearly articulating product decisions and value to a wide range of stakeholders.
A proactive and customer-obsessed mindset, with hands-on experience conducting user research and analyzing behavioral data.
Experience working in HRTech, FinTech, or data-intensive products is a strong advantage.
Full professional proficiency in Hebrew and English required.