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Requirements:
Minimum qualifications
5+ years of experience in leading data science and machine learning projects, with significant hands-on work building LLM-based applications or AI agents.
Deep practical experience with LLMs (prompt engineering, fine-tuning, model selection, and understanding trade-offs across providers and model families).
Knowledge of programming languages that are used in AI research, such as Python, and experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch).
An M.S. or Ph.D. degree in computer science, statistics, or related field OR equivalent work experience.
Preferred qualifications:
Experience with distributed cloud systems and hands-on familiarity with cloud-native architectures at scale.
Strong knowledge of deep learning models and common model architecture such as transformer models.
Knowledge of cybersecurity principles, attack vectors, and defense mechanisms.
Excellent communication (both written and verbal) and presentation skills.
Ability to work independently in a fast-paced environment and come up with creative solutions to challenging problems.

Requirements:
3+ years of experience as an IT Engineer or Systems Administrator in a startup environment.
Deep, advanced expertise in macOS administration and troubleshooting.
Strong experience with Jamf Pro (or similar Apple MDM tools).
Practical experience with IAM tools (IGA, PAM, Entra, etc).
Hands-on experience with scripting (Bash, Python) for automation.
Foundational knowledge or high familiarity with DevOps concepts (AWS/GCP, basic networking, or infrastructure as code).
Security practices\compliance (ISO, Soc2) - Advantage.

Requirements:
Minimum Qualifications
3 years of experience as a Brand, Visual, or Presentation Designer in high-tech companies.
Expertise in Figma and Adobe Creative Suite, with a strong working knowledge of PowerPoint and Google Slides.
Strong illustration skills, with the ability to create custom illustrations and visual metaphors to bring complex concepts and data to life within the brand identity.
Excellent spoken and written English and Hebrew.
A portfolio demonstrating strong data visualization, infographics, and presentation design work.
Preferred Qualifications:
Hands-on experience with cutting-edge AI design tools and a passion for building efficient workflows across all studio projects.
A strong analytical eye for technical details, with the ability to translate complex concepts and numbers into clear, aesthetic, and engaging visuals.
Proven ability to thrive in a fast-paced environment, manage multiple high-priority projects, and deliver under tight deadlines.

Requirements:
Minimum Qualifications
Bachelor of Science in Computer Science/Software Engineering or related field.
4+ years of experience with Backend Engineering in a high-level programming language (e.g., Java, C#, Golang).
Experience with cloud platforms (e.g., AWS, GCP, Azure).
Preferred Qualifications:
Experience with microservices based architecture.
Experience with databases and message queue technologies.
Experience with continuous integration and deployment (CI/CD).
Familiarity or experience with Golang, GraphQL, PostgreSQL, Neptune, Docker, and Kubernetes.

Requirements:
Bachelors degree in Computer Science or a related technical field.
1-3 years of software engineering, implementation engineering, technical consulting, or equivalent hands-on experience.
Strong programming fundamentals, preferably using Python, or another backend language.
Apply an AI-first approach to problem solving, leveraging AI tools to accelerate development, debugging, and solution design while maintaining strong judgment.
Basic experience building or consuming REST APIs.
Working knowledge of SQL and relational databases.
Ability to debug technical problems methodically.
Strong communication skills and comfort speaking with technical customers.
Ability to learn unfamiliar systems quickly.
Organized, dependable, and comfortable managing multiple tasks.
Willingness to work across coding, customer communication, testing, deployment, and support.
Nice to Have:
Experience with enterprise software integrations.
Experience with cloud platforms, Docker, CI/CD, or production monitoring.
Experience in cybersecurity, identity, IT systems, or enterprise SaaS.
Previous customer-facing engineering, support engineering, or implementation experience.

Requirements:
Minimum qualifications
5+ years of hands-on experience in security or security research.
Strong threat-modeling mindset, with a deep understanding of both how attackers approach complex environments and how enterprises defend them.
Deep architectural understanding of complex software systems (Low-level, Distributed, or Core System Engineering mindset).
Proven ability to work independently, prioritize effectively, and drive complex, multi-quarter research projects from initial concept through to working PoC and product integration.
Strong ability to define and implement agentic workflows.
Preferred qualifications:
Security research experience in modern cloud environments (AWS, GCP, Azure, Kubernetes, etc.)
Specialized knowledge or research experience in AI security, focusing on risks to AI as deployed in the enterprise.
Solid foundation in program analysis or programming language theory (e.g., parsing, ASTs, compilation, or static code analysis).
Familiarity with model benchmarking, evaluation or fine tuning.
Hands-on experience with query languages (e.g., KQL, SQL) for efficient data analysis of security telemetry, or relevant large-scale data mining experience.
Excellent written and verbal communication skills, with a track record of successfully collaborating with cross-functional teams (e.g., Product, Engineering, Marketing) to achieve shared goals.
About the job

Requirements:
Minimum qualifications
5+ years of hands-on experience in security or security research, specifically relevant to modern cloud environments (AWS, GCP, Azure, Kubernetes, etc.)
Strong hands-on skills with scripting languages (e.g., Python, Go) for automation and research, as well as query languages (e.g., KQL, SQL) for efficient data analysis of security telemetry.
Proven ability to work independently, prioritize effectively, and drive complex, multi-quarter research projects from initial concept through to clear, delivered impact.
Preferred qualifications
Specialized knowledge or research experience in AI security, focusing on risks to AI as deployed in the enterprise.
Experience in public-facing work, such as presenting at recognized industry conferences, authoring technical blog posts, or publishing research.
Experience conducting data-driven research and working with large-scale security telemetry to derive statistically significant or high-impact findings.
Excellent written and verbal communication skills, with a track record of successfully collaborating with cross-functional teams (e.g., Product, Engineering, Marketing) to achieve shared goals.

Requirements:
7+ years of professional software engineering experience, with a strong backend focus
BSc in Computer Science or equivalent hands-on experience
A builders mindset, with experience taking products from idea to production
Comfort working across the stack when needed, from APIs and workflows to infrastructure
Production experience with Python (AI / data-heavy systems) and Go (high-performance services)
An AI-first approach, with a natural instinct for where automation and AI create leverage
A high bar for quality and a willingness to challenge yourself and the team
Clear communication skills and the ability to collaborate effectively in small, senior teams
Bonus Points:
Deep experience on GCP (Vertex AI, BigQuery, Cloud Run, etc.)
Built LLM-powered products beyond simple chatbots - agents, workflows, or autonomous systems
Background in fintech, payments, or other high-stakes, complex domains.