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Requirements:
Currently pursuing a B.Sc. in Computer Science, Software Engineering or a related technical field
Strong programming fundamentals and hands-on experience with at least one language such as Java, JavaScript or Python
Comfortable working in a Linux environment and using git
Basic understanding of software builds, automated testing and CI/CD, with familiarity with tools such as Jenkins, Artifactory, Bitbucket/GitHub, Bazel, Gradle or Maven
Familiarity with Docker, Kubernetes, Helm or infrastructure/configuration automation
Ability to troubleshoot technical issues and automate repetitive work
Experience using AI coding agents at scale for development work, with exercising judgment, providing clear context and acceptance criteria, verify their output, protect sensitive data and own the final contributions.
Basic familiarity with LLM APIs, agent skills, plugins or tools integrations, plus an understanding of how context limits and token usage affect quality, latency and cost
Passion for simplifying developer workflows, automating repetitive processes and solving challenging infrastructure problems at scale
Bonus points if you have:
Experience building or maintaining shared CI/CD pipelines used by many developers, services or teams
Hands-on work with production infrastructure, release engineering, DevOps or developer tooling in a company, technology unit or active open-source project

Requirements:
4+ years of experience building machine learning and deep learning solutions end-to-end, from research and experimentation through production.
MSc or PhD in Computer Science, Mathematics, Engineering, Statistics, or a related field, with strong foundations in machine learning, optimization, and statistical modeling.
Experience building machine learning solutions for real-time bidding (RTB), programmatic advertising, pricing, or other large-scale optimization problems.
Strong software engineering skills in Python or Java, with experience developing production ML systems.
Proven ability to take machine learning models from prototype to scalable, high-performance production environments.
Bonus points if you have:
Experience building machine learning models for bid optimization, auction systems, pricing, or large-scale recommendation systems.
Experience using AI coding tools (such as Claude Code or Cursor) to accelerate development, experimentation, and code quality.

Requirements:
4+ years of experience building machine learning solutions end-to-end, from research and experimentation through production.
MSc or PhD in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field.
Experience developing machine learning models for real-time bidding (RTB), recommendation systems, ranking, pricing, or other large-scale optimization problems.
Strong programming skills in Python and experience working with production-grade machine learning systems.
Strong foundation in machine learning, statistical modeling, experimentation, and data analysis.
Bonus points if you have:
Experience with deep learning models in large-scale recommendation or advertising systems.
Experience using AI development tools (such as Claude Code or Cursor) to accelerate experimentation and development.

Requirements:
Extensive experience of at least 6-8 years in progressive HR business partnering within global fast-paced tech companies.
Exceptional ability to navigate the unique complexities of a globally distributed workforce, including managing cross-cultural dynamics, localized compliance/labor nuances, and aligning regional execution with a unified global strategy.
Proven experience acting as a strategic advisor to senior executive leaders. You must be ready to assume full HR ownership for a high-volume, high-impact global organization, influencing organizational design, talent strategy, and business outcomes.
Experience supporting global sales teams (Preferred) with a deep understanding of quota structures, incentive compensation, and aligning HR initiatives with sales velocity and aggressive growth targets.
A proven ability to balance strategic planning with hands-on execution, guiding their efforts to achieve impactful results while promoting innovative and progressive ways of working.
Strong analytical skills to provide actionable insights and a strong business acumen and commercial understanding to align HR strategies with business objectives.
Exceptional communication skills and the ability to adapt to different audiences, build strong relationships, and influence stakeholders effectively.
A proactive, solutions-oriented, and outcome focused approach.
The ability to remain composed and effective under pressure, and thrive in fast-paced, ambiguous environments.
The skills to challenge the status quo to deliver innovative, fit-for-purpose solutions.
A commitment to driving employee engagement and fostering a culture aligned with organisational values.
Tech-Forward Mindset, maintaining a high level of curiosity regarding AI and automation; comfortable experimenting with new technologies to solve traditional HR challenges and model digital agility for the organization.

Requirements:
Extensive experience of at least 6-8 years in HR business partnering, with a strong generalist HR background
A proven ability to balance strategic planning with hands-on execution, guiding their efforts to achieve impactful results while promoting innovative and progressive ways of working.
Strong analytical skills to provide actionable insights and a commercial mindset to align HR strategies with business objectives.
Exceptional communication skills and the ability to adapt to different audiences, build strong relationships, and influence stakeholders effectively.
A proactive, solutions-oriented, and outcome focused approach.
The ability to remain composed and effective under pressure, and thrive in fast-paced, ambiguous environments.
The skills to challenge the status quo to deliver innovative, fit-for-purpose solutions.
A commitment to driving employee engagement and fostering a culture aligned with organisational values.
Tech-Forward Mindset, Maintaining a high level of curiosity regarding AI and automation; comfortable experimenting with new technologies to solve traditional HR challenges and model digital agility for the organization.

Requirements:
7+ years of experience managing, scaling and troubleshooting large-scale distributed Linux environments in production.
Deep understanding of Linux system internals and network protocols (TCP/IP, DNS, HTTP, gRPC), together with hands-on experience of edge/CDN services such as Fastly, Cloudflare, Akamai or CloudFront.
Hands-on experience with Infrastructure as Code (IaC) and orchestration tools such as Terraform, Ansible, Puppet, ArgoCD or Jenkins.
Production experience managing containerized environments using Kubernetes and Docker.
Solid programming skills in at least one modern language (Go, Python or Rust).
Bonus points if you have:
Experience designing and operating telemetry, metrics collection, and alerting stacks at scale (Prometheus, Grafana, ELK/logging).
Practical background in optimizing infrastructure costs and resource efficiency across cloud and on-prem.

Requirements:
3+ years experience in leading and managing software development teams.
Experience developing large scale distributed systems and solid understanding of production system infrastructure
Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures, and concurrent/multi-threaded programming
5+ years programming experience in Java or equivalent Object-Oriented language
Experience with SQL and No-SQL
Highly Proficient in Linux environment
Demonstrated ability to collaborate effectively across multiple teams and drive alignment.
B.Sc in computer science or equivalent experience
Bonus points if you have:
Experience in Big Data tools
Knowledge in algorithms, data-mining and machine learning

Requirements:
Bachelors or Masters Degree in Behavioral Sciences
3+ years of in-house recruitment experience for technical positions within a global company
Proven track record managing full-cycle recruitment processes independently
Strong sourcing skills with creative talent engagement approaches
Fluent English and excellent communication skills
Bonus points if you have:
Experience working in hyper-growth tech environments
Familiarity with progressing AI recruitment tools and data-driven hiring

Requirements:
B.A / BSc degre
2+ years of professional experience as an AD Operations or Account management role in the programmatic advertising industry
Hands-on, proven experience with Google Ad Manager (GAM) - an advantage
Experience working with programmatic platforms (SSPs & DSPs) on different types of integrations, preferably OpenRTB- an advantage
Project management skills - ability to work cross functional
Strong analytical skills - proficient in working with Excel advanced functions
Familiarity with BI platforms such as Tableau / QlikSense / Looker - an advantage
Fluency in English
Bonus points if you have:
Prior experience with performance marketing and or PMP activity

Requirements:
Relevant education: B.Sc. or Technical Diploma in Life Sciences / Microbiology.
Previous experience in a microbiology laboratory - an advantage.
Experience with PCR - an advantage.
Experience working with fungi or bacteria - an advantage.
Familiarity with computerized project management systems - an advantage.
Proficiency in sterile techniques and basic microbiological methods.
Strong organizational skills, accuracy, independence, and ability to meet deadlines.
Good technical English.
Full-time position with willingness to work intensive hours, occasionally outside of standard working times.
Willingness to work in the field when required.
Proficiency in MS Office and other computer applications.
Ability to commute independently to Moshav Mazor (between Petah Tikva and Yehud).

Requirements:
10+ years in data engineering, with significant time spent at fast-moving, high-scale tech companies.
Deep expertise in database architecture across OLTP, OLAP, NoSQL, and columnar systems, including MongoDB/Atlas, PostgreSQL, Redis, Elasticsearch, ClickHouse, and Couchbase.
Proven hands-on experience with DAG-based workflow orchestration systems such as Apache Airflow, Temporal, Prefect, Dagster, or similar - designing, scaling, and operating complex pipeline workflows in production.
Hands-on with cloud-native data infrastructure (AWS/GCP/Azure) and deep experience with data lake platforms - Databricks, Snowflake, BigQuery, or similar - including streaming and batch pipelines at scale.
Hands-on experience with event-driven architectures and event sourcing patterns (e.g., Kafka, Kinesis, or similar), with strong command of distributed systems principles - partitioning, replication, consistency trade-offs.
Who You Are:
Exceptional communicator - able to lead cross-functional design and implementation, work fluidly with engineers, product managers, and senior stakeholders, and drive execution across organizational boundaries.
A true people person - thrives working alongside talented teams, leaves ego at the door, and brings a can-do attitude to every challenge.

Requirements:
2+ years of experience in a company operating in the agentic AI / AI infrastructure space, having owned and developed an AI product in production at scale.
10+ years leading high-scale R&D infrastructure - proven track record scaling systems by an order of magnitude or more, not just operating at scale someone else built.
2+ years of demonstrated experience managing team leaders, with a genuine track record of developing them.
Deep, hands-on AI engineering/ML expertise: LLMs, agentic systems, evaluation/benchmarking methodology, prompt/context engineering, and LLMOps.
Experience owning or closely partnering with large-scale data infrastructure - pipelines, storage, and especially web-scale crawling, caching, and indexing.
Experience taking a product from early stage to a clear, competitive market position, and scaling its infrastructure from millions to billions of API calls/month.

Requirements:
10+ years in DevOps, SRE, or Infrastructure Engineering, with a proven track record of scaling systems by an order of magnitude or more - not just operating at a scale someone else built.
Led engineering teams at least twice, and led team managers at least once; at least two of those stints at strong, high-growth technology companies through a scale-up from roughly 50 to 200+ employees.
Deep, hands-on credibility in cloud architecture, Kubernetes, and Infrastructure as Code, across AWS and at least one other major provider (Azure, GCP, or Oracle) - enough to guide and challenge the team's technical decisions directly.
Proven ownership of FinOps / cloud cost strategy at meaningful scale, with a concrete result you can point to.
Direct experience owning security posture and compliance (SOC 2 / ISO 27001 or equivalent) as an infrastructure leader, not just partnering with a security team.
Experience negotiating and managing vendor and infrastructure contracts.
A clear, current point of view on AIOps and using AI to improve the SDLC - and something you've actually built or adopted, not just a talking point.
Combines strategic ownership with hands-on depth - equally comfortable setting a three-year infrastructure roadmap and reviewing the architecture underneath it.
Bonus: high-egress, high-throughput infrastructure (proxy networks, browser farms, crawling/scraping, CDN) or a data/API/usage-based product where infrastructure cost is the gross margin.
Fluent Hebrew and English.