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Requirements:
15+ years of experience in B2B technology marketing, including significant experience in field marketing leadership roles within global organizations.
Proven experience leading regional marketing organizations and managing high-performing teams in complex, fast-paced environments.
Demonstrated ability and willingness to operate at both a strategic leadership level and a hands-on executional level - comfortable building the plan and running the play.Experience in cybersecurity, networking, cloud, SaaS, or enterprise technology industries is highly preferred.
Strong understanding of modern demand generation, account-based marketing, pipeline acceleration, customer marketing, and partner marketing strategies.
Proven track record of owning pipeline and revenue targets in a B2B technology environment, with demonstrated ability to work strategically with sales leadership and influence senior stakeholders across regions and functions on deal progression, pipeline coverage, and revenue forecasting
Highly analytical with strong business acumen and the ability to translate data into actionable insights and executive-level recommendations.
Strong experience with marketing technology platforms, CRM systems, marketing automation, reporting dashboards, and AI-enabled marketing tools.
Passion for leveraging AI to improve marketing effectiveness, operational efficiency, content generation, personalization, and decision-making.
Excellent interpersonal, communication, presentation, and stakeholder management skills.
Exceptional organizational and project management capabilities with the ability to manage multiple priorities simultaneously.
Strong leadership presence, ownership mindset, and ability to thrive in dynamic, high-growth environments.
Bachelors degree in Marketing, Business Administration, Communications, or related field preferred.
Willingness to travel internationally as required (approximately 25%).

Requirements:
What you need:

3+ years of experience in back-end and infrastructure development using Java.

Strong understanding of architectural patterns, including microservices.

Experience integrating AI/LLM-based capabilities into backend services and development workflows.

Hands-on experience managing infrastructure in GCP.

Experience with Kubernetes (K8s).

Familiarity with tools and technologies such as:

Elasticsearch ,ClickHouse ,mongoD.

Kafka or other messaging platform, Redis / Ignite or other caching servers.

Monitoring and observability solutions.

Experience working in Agile development environments.

Strong problem-solving ability and a "Can-do approach".

Excellent communication and interpersonal skills.


How can you stand out:

Experience with FE development such as React.

Experience with CI/CD pipelines for automated testing and deployment.

Strong grasp of system design principles and architecture reviews.

Experience with high-scale, distributed systems.

Familiarity with AI/LLM ecosystems, including model integration, prompt orchestration, and scalable AI service architecture.

Requirements:
What do you need to succeed?
M.Sc. student in Computer Science or related field.
R&D hands-on in the domains of AI, application or public cloud - An advantage.
Strong Python programming skills with a focus on production-level code. GO lang programing knowledge is an advantage.
Strong AI based vibe-coding skills.
Knowledge in WEB, HTTP protocol and application security.
Good understanding and experience in AI models (Generative models, embedding models, training, finetuning etc.) and relevant Python library (PyTourch , Sentence Transformer etc.) - Good advantage.
Proven ability to work both independently and collaboratively in a team environment.
Self-starter DNA - you should be able to thrive on autonomy, move fast, and communicate well with stakeholders at every level.

Requirements:
4+ years of experience in backend / software engineering, with proven experience designing and developing high-performance, distributed systems
Strong proficiency in Python and Node.js
Proven experience working in cloud environments (AWS preferred; GCP/Azure acceptable)
Hands-on experience with microservices, containerized environments (Kubernetes), and CI/CD pipelines (GitHub Actions)
Experience with message queuing and streaming systems such as Kafka and/or SQS
Strong understanding of SQL and NoSQL databases, large-scale data flows, and data-driven systems
Experience in developing and deploying LLM agents to production (via Langgraph, Langchain, etc.)
Strong collaboration and communication skills, both Hebrew & English.

Requirements:
3+ years of experience in DevOps, Platform Engineering, SRE, or related infrastructure roles.
Hands-on public cloud and k8s production experience
Expertise in cloud security, identity, secrets, and supply chain protection.
Proficiency in Terraform (module design and refactoring).
GitOps delivery (ArgoCD, Helm, Helmfile).
Strong observability fundamentals (Metrics, Logs, Traces).
Strong communication skills in English.
Team player
Nice to Have:
Security certification
B.Sc. in Computer Science or equivalent.

Requirements:
4+ years of experience developing large-scale backend systems in Node.js with microservices.
Deep expertise in performance optimization, and real-time event-driven architectures.
Strong background in distributed systems, caching strategies, and concurrency handling.
Hands-on experience designing and optimizing NoSQL databases for high-scale workloads.
Expertise with message queues, event streaming, and real-time data processing (Kafka, Redis, RabbitMQ, etc.).
Solid understanding of cloud infrastructure, containerization, orchestration and Docker.
Experience with CI/CD, monitoring, logging, and security best practices for scalable backend systems.
Nice to have:
Experience in managing infrastructure resources, implementing custom autoscaling, and interacting with the Kubernetes API/Control plane
Familiarity with TypeScript.