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Requirements:
8+ years of experience in product design, preferably in the cyber security industry.
A strong portfolio that demonstrates product thinking, interaction design, and visual craft.
Comfortable owning the entire design process in a startup or small-team environment.
Able to move between high-level strategy and pixel-perfect execution.
Collaborative, curious, and able to communicate design decisions clearly.

Requirements:
Experience. 8+ years in security research, vulnerability analysis, or applied security engineering.
Startup DNA. You have worked in an early stage or 0 to 1 environment. Comfortable with ambiguity, shipping without a big org behind you, and changing direction when the data says so. This is a requirement, not a bonus.
Research to product track record. You have turned research into things that shipped: features, tools, detections in production. Not just papers or reports.
Technical depth. Deep expertise in modern application stacks (microservices, containers, cloud platforms). You understand how these systems actually break.
Builder skills. Strong programming ability in at least one modern language (Python, Go, TypeScript). Comfortable writing production quality code.
Data rigor. Experience designing experiments, building datasets or benchmarks, and measuring quality quantitatively. You do not ship on vibes.
LLM fluency. Hands on experience applying LLMs to real problems, whether evaluation, prompting, fine tuning, or agentic systems, or a demonstrated ability to get there fast.
Proven findings. A history of discovering serious vulnerabilities (CVEs welcome) and responsible disclosure.
Communication. You can explain a complex attack and its real impact clearly to engineers, executives, and customers.
Work authorization. Permanent authorization to work in the US for the San Francisco role, or in Israel for the Israel role.

Requirements:
3+ years of hands-on experience with AI or machine learning frameworks
4+ years of experience as a Software Engineer
Experience deploying and scaling AI/ML models in production environments
Proficiency with cloud platforms, particularly AWS, for AI/ML workloads
Excellent communication skills and proven ability to work effectively in cross-functional teams
Strong problem-solving skills and ability to translate business requirements into technical AI solutions

Requirements:
6+ years of backend development experience
Strong background in designing and implementing microservices-based architecture and distributed systems
Extensive experience with cloud environments, particularly AWS
Hands-on experience with CI/CD pipelines, build automation, and deployment processes
Hands-on experience with databases (SQL/NoSQL) and distributed messaging systems (e.g. Kafka, RabbitMQ)
Proven ability to optimize performance and scalability in backend systems and services
Excellent communication skills and proven ability to work effectively in cross-functional teams