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Requirements:
5+ years of backend development experience with Python.
Experience building and operating data pipelines, data lakes, or large-scale data infrastructure.
Experience with distributed systems and the challenges they bring (consistency, failure modes, debugging across services).
Familiarity with microservices architecture and tooling (Docker, Kubernetes).
Experience with NoSQL databases.
High independence - you thrive with autonomy and ownership in ambiguous environments.
Advantages:
Experience building distributed systems.
Data management at scale - ETL, data quality, governance.
Experience in cybersecurity, threat intelligence, or related domains.
Familiarity with AI/agentic application patterns.
Experience with graph and NoSQL databases.
- Startup or small-team experience.

Requirements:
5+ years of experience with C++ 14 (or later).
Familiarity with operating system concepts, Windows/Linux internals, and kernel/driver development.
Proven experience in building multithreaded applications to enhance software performance.
Knowledge of integrating and utilizing third-party libraries, including Boost, Protobuf, and others.
Strong debugging skills, including the ability to identify and rectify race conditions and memory leaks.
Capable of conducting code reviews with a focus on design and quality, contributing to a high-standard codebase.
Understanding of low-level assembly to delve into software internals.
Problem-solving abilities.
Analytical thinking.
Ability to work well in a team.

Requirements:
4+ years of enterprise B2B software sales experience.
Proven track record of achieving and exceeding sales targets.
Experience managing complex sales cycles with multiple stakeholders.
Strong communication, presentation, negotiation, and relationship-building skills.
Technology-oriented mindset with a solid understanding of enterprise software (background in ERP solutions is advantage).
Strong organizational and coordination skills, with the ability to manage multiple opportunities, stakeholders, and priorities simultaneously.
Attention to detail and a structured approach to opportunity, pipeline, and sales process management.
Self-driven, entrepreneurial, and results-oriented approach.
Strong ownership and accountability
Full professional proficiency in both Hebrew and English.
Bachelors degree.

Requirements:
10+ years in B2B SaaS demand generation or growth marketing, at least 5 of them leading the function - and its leaders - at a global company.
Leader of leaders experience with player-coach instincts. You've held senior channel owners accountable to a shared number, and you still get into the work yourself.
Hands-on depth in both paid and organic. You've personally run the channels, not just managed people who do - and you can still build, edit, and diagnose in both.
Direct pipeline accountability. You measure impact in opportunities and revenue, not clicks and MQLs.
At home in grey areas. Hand you a wide, half-formed vision and you'll extract what matters for pipeline and turn it into a plan with owners and dates - even when inputs are messy and direction shifts mid-quarter.
AI-native, not AI-curious. You've built AI-powered systems for a team, you work this way daily, and you can teach it - upskilling the team is part of the job, not a side quest.
Fluent in B2B funnel dynamics and diagnostics. You can find the leak between MQL and opportunity, name the likely cause, and know which fix is worth the effort.
Deep working knowledge of Salesforce and strong data and analytics fluency. You've used a multi-touch attribution tool like HockeyStack at depth, or can get there fast.
Executive-grade communication. You can present a number, a miss, and a plan to a CMO in one breath.
Familiarity with the mobile marketing and martech ecosystem is a strong advantage.
Fluent, professional English with strong written and verbal communication.

Requirements:
Currently pursuing bachelor's or master's degree in computer science, industrial engineering, or information systems with up to 3 semesters remaining to graduation
A current student status in a recognized higher-education institute is required
Immediate availability for work in at least 80% position capacity
Some experience in project management
Passion for data, self-starter, loves challenges
A high degree of personal initiative, learning ability and willingness to learn are a basic prerequisite
Business sense with confidence in decision making
Creativity and Inventiveness
Great people skills and good communication skills in English
A Product Management certification is an advantage, but not a must as we will train you accordingly

Requirements:
8-10 years experience with DevOps technologies.
Experience with design, build, development and maintenance of DevOps solutions.
Experience with one of the major cloud providers: AWS, GCP, Azure.
Experience Working cloud & on-prem environments and solutions.
Experienced with deployment technologies.
Experienced with CI\CD technologies.
Experience with bootstrapping projects, introducing new technologies and building systems from scratch.
Good coding capabilities (python\bash etc.)
Team Player!
Advantages:
Prior experience with endpoint security products (agents, sensors, collectors).
Background in working with AI components (training, inference, serving).
Tech Stack:

AWS, Kubernetes, EKS, ECS, Jenkins, IaC, GitHub, Terraform, Python, Ansible, Docker + Compose, ArgoCD, MongoDB, RabbitMQ, Redis, Go, Neo4J, AI, and more.

Requirements:
8+ of years experience with DevOps technologies.
Extensive background leading the design, build, and evolution of end-to-end DevOps platforms, including infrastructure, tooling, and operational frameworks across the software lifecycle.
Deep expertise with one of the major cloud providers: AWS (preferred), GCP, Azure.
Extensive experience with modern deployment strategies (GitOps, blue/green, canary, Kubernetes-based deployments)
Strong experience designing and optimizing end-to-end CI/CD pipelines, enabling high velocity, reliable software delivery.
Experienced with bootstrapping projects, introducing new technologies and building systems from scratch.
Background in working with AI components and understanding the challenges of bringing AI workloads into production.
Good coding capabilities (Python, Bash, etc.)
Experience mentoring engineers, leading cross-functional initiatives, and influencing technical direction.
Advantages:
Experience with on-prem environments and solutions.
Prior experience with endpoint security products (agents, sensors, collectors).
Tech Stack: AWS, Kubernetes, EKS, Jenkins, IaC, GitHub, Terraform, Python, Docker, ArgoCD, MongoDB, RabbitMQ, Redis, Go, Neo4J, AI, and more.

Requirements:
Bachelors or Masters degree in Mechanical.
Proficiency in CAD tools (SolidWorks, Creo, CATIA, or similar).
Hands-on experience with CAE tools (e.g., ANSYS, Abaqus, COMSOL, HyperWorks).
Experience designing real-world components.
Understanding of tolerances, fits, materials, and manufacturing processes.
Ability to connect simulation assumptions with practical design decisions.