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Requirements:
Solid foundation of experience managing Linux systems in virtual environments (6+ years)
Deploying and maintaining highly available infrastructure in one or more Cloud providers (5+ years, AWS or GCP preferred)
Infrastructure as code using Terraform (4+ years)
Creating, deploying, maintaining, and troubleshooting Docker images (4+ years)
Scoping, deploying, maintaining and troubleshooting Kubernetes clusters (4+ years)
Developing and maintaining an active codebase in Go, Python preferably (3+ years)
Experience with PaaS technologies (5+ years, EKS and GKE preferred)
Maintaining monitoring and observability tools (Datadog, Prometheus preferred)
Thorough understanding of network infrastructure and concepts (VPNs, routers and routing protocols, TCP/IP, IPv4 and v6, UDP, OSI layers, etc.)
Experience with load balancing and proxy technologies (Istio, Nginx, HAProxy, Apache, Cloud load balancers, etc.)
Debugging and troubleshooting complex problems in cloud-native infrastructure.
Slack native mentality.
Bachelors Degree in Computer Science or a related technical discipline, or the equivalent combination of education, technical certifications, training, or work experience.
Abilities Required:
Demonstrated ability to learn new technologies quickly and independently
Strong technical, organizational and interpersonal skills
Strong written and verbal communication skills
Must be able to read, understand, and communicate complex problems and solutions in English over a textual medium (such as Slack)

Requirements:
Bachelors Degree in Accounting, Finance, or a related field from an accredited institution.
Certification: CPA qualification; Big 4 alumni
Experience: At least 4 years of experience as a Controller, in Hi tech or startup (must).
Strong understanding of financial statement preparation.
Advanced Excel skills, with the ability to handle complex data analysis.
Knowledge of NetSuite is a Big Plus.
Startup Mindset: Proven ability to thrive in a fast-paced, rapidly changing environment, balancing multiple tasks and priorities.
Highly detail-oriented with a commitment to accuracy.
Effective communicator with excellent English/Hebrew verbal and written skills.
Collaborative team player, ready to thrive in a fast-paced environment.

Requirements:
The "Builder" Mentality is a must!
1 - 2 years of experience in GTM Engineering, Business Technology, or Solutions Engineering within a fast-paced startup or high-growth environment.
You have a working knowledge of database usage and security best practices.
Deep, hands-on experience applying AI and APIs to solve business problems.
You should be fluent in modern tools like Claude code, Cursor, n8n, v0/Vercel, or Glean.
You possess the ability to write prototype or production-level code in Python, JavaScript/TypeScript, or similar languages; however, the specific programming language is less important than your ability to solve problems.
Familiarity with modern GTM stacks, including Salesforce, Marketo, Pocus, or similar platforms.
A self-motivated problem-solver who thrives in environments where they get to own the end-to-end workstream and report directly to executive leadership.
Exceptional ability to adapt your communication style to both technical internal teams and non-technical stakeholders

Requirements:
Master degree or higher in Computer Science/Mathematics/Physics,/Electric engineering or equivalent is a must
Strong theoretical background in Machine Learning
An understanding of linguistics theory and principles (semantic relations, parsing methods, etc.)
2+ years experience with Python
3+ years experience with conducting NLP research (Specifically: Text) using Deep Learning models (RNN, Transformers, etc) and frameworks (PyTorch, Tensorflow, etc.)
Educate our customers on new and existing features, best practices, and a variety of use cases across industries. This is achieved by planning and hosting online demos, consultations, and screen shares on both a one-to-one and one-to-many basis.
An in-depth understanding in one or more of the following will be a plus:
Optimization
Information theory
Probability and statistics
Bayesian methods
Publications at top-tier conferences (i.e, ACL, EMNLP, ICML, NeurIPS)
Experience with distributed DL
Experience with cloud ML (GCP, AWS, etc.)