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Requirements:
To thrive in this role, youll need:
M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
6+ years of hands on experience with coding Deep learning / Machine learning / Reinforcement-learning / Statistical modeling based solutions
4+ years Experience modeling auction dynamics in first-price environments (bid shading, market price modeling, win-rate prediction, clearing-price / floor-price estimation)
Strong knowledge in Python
Good knowledge in Java, Scala or C#
Experience in data analysis and visualization and strong knowledge in SQL
Possess strong problem solving and critical thinking skills
Bonus points if you have:
Deep understanding of RTB ecosystems and standards (OpenRTB), header bidding (Prebid client/server), and ad-exchange integrations
Hands-on experience with budgeting/pacing, frequency capping, throttling, and guardrails to meet margin/CPA/ROAS targets
Strong grasp of measurement and calibration (CTR/CVR calibration, eCPM modeling, lift studies) and experimentation (A/B tests, multi-armed bandits)
Experience in developing models using deep learning techniques and tools
Experience in developing software within a distributed computation framework.

Requirements:
To thrive in this role, youll need:
Experience developing large scale systems. Experience with filesystems, server architectures, distributed systems, SQL and No-SQL. Experience with Spark and Airflow / other orchestration platforms is a big plus.
Highly skilled in software engineering methods. 5+ years experience.
Passion for ML engineering and for creating and improving platforms
Experience with designing and supporting ML pipelines and models in production environment
Excellent coding skills - in Java & Python
Experience with TensorFlow - a big plus
Possess strong problem solving and critical thinking skills
BSc in Computer Science or related field.
Proven ability to work effectively and independently across multiple teams and beyond organizational boundaries
Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures systems, applications programming and multi threading programming
Strong communication skills to be able to present insights and ideas, and excellent English, required to communicate with our global teams.
Bonus points if you have:
Experience in leading Algorithms projects or teams.
Experience in developing models using deep learning techniques and tools
Experience in developing software within a distributed computation framework.

Requirements:
B.Sc. in Computer Science (or equivalent) from a known university or relevant military experience.
3+ years of experience in C++ development within a Linux environment.
Strong expertise in software architecture, system analysis, design patterns, problem-solving and debugging.
Proven experience with multithreading and multiprocessing for high-performance systems.
In-depth knowledge of the Linux environment and experience working with Linux-based systems.
Strong debugging capabilities!
Ability to work independently and collaboratively, adapting to changing priorities and requirements.

Requirements:
3+ years of experience in Data Engineering
1+ years of hands-on experience with Java / Scala
1+ years of experience with SQL and Non-SQL DBs
Experience in Spark, Hadoop, Airflow - a big plus
Experience with Spring Framework - Advantage
Experience with microservice architecture - Advantage
Experience of working with DevOps and working with CI/CD practices - Advantage
Deep understanding of Agile principles, practices and values
Solid understanding of design patterns, software development techniques, and clean code practices
Team player, strong communication skills, and a positive attitude
Fast learner, self-starter, broad-minded with a can do approach
Advanced English written and verbal communication skills
Bachelors, BScs or Masters degree in Computer Science or Engineering fields from leading academic school

Requirements:
What we're looking for:
5+ years in software engineering with experience in backend/platform roles.
5+ years of experience with Python.
Proficiency in another language, such as C++, Rust, Java, or Go, is an advantage.
2+ years of experience working with cloud platforms such as Google Cloud (preferred), Azure, or AWS, including familiarity with ML workflow frameworks like KFP or Vertex Pipelines.
Solid experience in ML/AI development (a must).
Experience with inference optimization (vLLM) and fine-tuning (Axolotl/Huggingface).
Expertise with transformers, PyTorch, CUDA, and other low-level ML libraries.
Familiarity with Docker and Kubernetes.
Excellent problem-solving skills and a proactive attitude, with a strong focus on code quality and optimization.
Collaborative mindset with the ability to work closely with cross-functional teams. Strong communication and teamwork skills are essential.

Requirements:
4+ years of experience years as a full-stack/backend software engineer with Java, Typescript, Relational/Non relational databases and cloud solutions
Expertise working on large scale complex software systems and leading delivery cycles.
Experience working with multiple releases with Agile methodologies in a service or SaaS environment
Experience with modern web frameworks such as Vue.JS / AngularJS / React
Develop and implement strategies to improve system reliability, scalability, and performance while aligning with the company's overall goals and objectives
Understanding of system architecture, and distributed systems
Ability to manage a full application development cycle from requirements to production
Great collaboration and English skills, working with other team members across the world

Requirements:
5+ years of experience in full-stack development working with JavaScript, Typescript
Experience with modern web frameworks such as Vue.JS / AngularJS / React
Extensive experience with back-end technologies - Nodejs, AWS, K8S, Postgresql, Redis
Demonstrated proficiency in designing, developing, and deploying microservices-based applications. Ability to architect and implement scalable, loosely coupled, and maintainable microservices.
Having experience in implementing CI/CD pipelines for automated testing, building, and deploying applications.
Ability to lead end-to-end projects, working with other team members across the world
Nice to Have:
Bachelors or Masters degree in Computer Science or related field/experience

Requirements:
Backend Expertise: 3+ years of professional experience in software development, with a deep focus on C# and the .NET ecosystem.
Frontend expertise: Working experience with JavaScript
Containerization & Cloud: Hands-on experience building and scaling services within AWS, specifically using ECS or EKS.
Systems Engineering Mindset: A proactive attitude toward building new products from scratch, with a focus on high-quality code and scalable design patterns.
Communication: Strong English skills and the ability to collaborate effectively in a distributed, multicultural environment.
Experience we consider a plus:
DevOps & Scripting: Experience with CI/CD automation and scripting (e.g., Python, Bash) to streamline development and deployment.
Performance Analysis: Familiarity with tools and techniques for profiling and optimizing .NET applications in high-load environments.
Node.js Knowledge: Ability to contribute to or integrate with Node.js-based services.

Requirements:
3+ years of hands-on experience with AWS in production environments, with strong working knowledge of Linux-based systems for deployment, debugging, and automation.
3+ years of DevOps experience supporting production-grade systems with high availability, scalability, and operational reliability.
Strong expertise in Kubernetes-based orchestration (EKS, KOps, GKE).
Extensive experience with CI/CD tools such as Git, GitHub, Jenkins, GitHub Actions, and Nexus.
Proficiency in scripting/programming languages, including Bash, Python, or Groovy, for automating infrastructure and pipelines.
Experience with Infrastructure as Code (IaC) tools like Terraform and CloudFormation.
Experience with logging, metrics, and observability stacks, such as Datadog, Telegraf, Elasticsearch, Kibana, Prometheus, and Grafana.
Ability to troubleshoot and debug complex, distributed systems across multiple cloud environments.
Only candidates meeting the above requirements will be considered.

Requirements:
Experience with JavaScript, CSS, HTML, Python
Bachelor's degree in Industrial Engineering and Management or related fileld
Relevant hands-on technical experience - A Must
Fluent English & Hebrew speaker (verbal and written)
Strong problem-solving skills, adaptable, proactive, and willing to take ownership.
Self-organized, detail-oriented, and process-driven.
Self-learning individual who loves to pass on his knowledge to others.
Strong attention to detail and the ability to effectively articulate technical challenges and solutions
Ability to learn quickly in a fast-pasted environment, while working with departments best practices
Experience working with technical customers - a significant advantage
Availability to work according to U.S. working hours (Monday-Friday)

Requirements:
3+ years of writing frontend code using React
You are proficient with backend development (Node.js)
Experience working with TypeScript
Experience with implementing CI/CD pipelines
Experience working with production-grade systems and complex architecture
Very high standard for code quality
Independent, self-learner who enjoys solving hard and challenging problems
Strong desire to WIN BIG in a large market

Requirements:
Proven tech leader- 8+ years of backend engineering experience, including at least 2 years in a tech lead or team lead capacity. You've owned systems end-to-end, not just delivered tickets.
Proven ability to build teams- You've hired engineers you're proud of, mentored people to grow beyond where they thought they could, and created an environment where ownership is the default.
Deep experience with distributed systems- Concurrency, reliability, observability - you design for failure, not around it.
Experience building with AI-assisted tools- (e.g Cursor, Claude Code, etc.) You treat these as serious multipliers, not toys.
Strong communicator- You can hold a design review, align with prodct leadership, and explain a tricky architecture decision to an engineer in their first week - all with the same clarity.
Comfortable with open-ended problems- You enjoy tackling challenges that don't have a simple one-prompt AI answer - where the path forward requires judgment, not just execution.
Bonus points:
AI/LLM product experience
Kubernetes & cloud infra
Agent evaluation frameworks

Requirements:
6+ years building backend systems (as a developer, architect, or tech lead)
Experience with AI-based coding agents (Cursor, ClaudeCode, etc..)
Experience with distributed systems
Great communication skills - you can explain complex ideas clearly
A curious, research-oriented mindset
Bonus points:
Experience building AI/LLM-powered products
Strong knowledge of Kubernetes and Cloud Infrastructure

Requirements:
Requirements are often considered a measure of how equipped you are to do the job, but sometimes, they arent the only factor. If you dont have nearly enough experience, or not all the skills, wed still like to hear from you. This could be the perfect fit for you and us.
2-3 years of experience in a technical, customer-facing role, such as Solution Architect, Implementation Manager, or Customer Engineer- preferably within the HR Tech or SaaS space (background in HR, HR Tech implementation is preferred).
Mandatory: Hands-on experience designing or implementing Headcount / Workforce Planning processes within HR, Finance, or people-related systems.
Experience designing, implementing, or optimizing Job Catalogs/job architectures as part of workforce planning solutions. Ability to map business roles and requirements into a Job Catalog framework to support scalable planning and accurate reporting.
Customer-Centric Problem Solver: Passionate about understanding customer challenges and translating them into scalable solutions.
Cross-Functional Collaborator: Able to bridge technical and non-technical stakeholders - partnering effectively with Product, CSMs, and Enablement.
Strategic & Proactive Mindset: Aligns short-term solution design with long-term platform scalability and resilience.
Strong organizational skills, adaptability, and ownership mindset - thrives in a fast-paced, collaborative environment.
Strong analytical and problem-solving skills.
Bonus:
Deep understanding of workforce planning concepts and their application in a SaaS environment: Direct experience managing workforce planning processes or leading WFP initiatives in previous companies and experience working with both CFO & CPO offices.
Hands-on experience with Job Catalog setup, job architecture, or job leveling within any workforce planning or HRIS system.
Experience in workforce analytics, headcount modeling, or budgeting tools.
SaaS industry and HRIS/FP&A experience.
Familiarity with common HRIS systems (e.g., Success Factors, Workday, Bamboo) is an advantage.
Knowledge or practical experience in AI technologies is an advantage.
Experience influencing product direction or participating in roadmap discussions is a plus.

Requirements:
A customer-oriented person with a strong self-driven personality and a hands-on approach.
The right candidate will have to show flexibility and resilience, perspective as well as a positive mindset and a good sense of humour.
The ability to multi-task effectively in very demanding and challenging situations, without losing balance and control.
Previous experience in a start-up or major process transformation situation at a globally operating company is a plus.
Experience with MS Office applications (PowerPoint, Word, Excel).
Knowledge of / willingness to learn applications such as SAP and Salesforce ServiceMax,.
Language skills: Hebrew (with excellent oral and written communication skills). English language proficiency in word and writing.