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Requirements:
1-2 years of experience as a Scrum Master, Project Manager, or Delivery Manager in a high-tech environment.
A proactive, resourceful, and can-do mindset, with the ability to take initiative and drive outcomes in complex environments.
Proven record of leading cross-functional initiatives and delivering scalable impat.
Strong proficiency with Jira and Confluence.
Jira Administrator (including JQL, automations, and dashboards) - advantage.

Requirements:
4-5 years of Product Management experience, including experience at a cybersecurity company.
Strong technical aptitude, with the ability to understand data models, system architecture, and how security detections operate under the hood.
Proven experience delivering AI-powered product capabilities from concept to production, with hands-on involvement in defining, validating, and launching AI-driven features.
Strong customer-facing skills with a demonstrated ability to transform ambiguous security challenges into clear, validated product opportunities.
Comfortable operating in a fast-paced startup environment, building products from ambiguity without predefined playbooks or processes.
Data-driven mindset with experience defining product metrics, measuring outcomes, and using insights to drive prioritization and decision-making.
Proven track record of partnering closely with engineering teams to deliver highly technical products.
Strong background in security-related domains.
Excellent communication skills, with the ability to align technical and business stakeholders around product strategy and execution.

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:
7+ years of experience in backend software development, with at least 2 years in a technical leadership or team lead role.
Proven experience designing and building scalable, highly available backend systems in production.
Strong background in building cybersecurity platforms, with hands-on experience in areas such as:
Identity and access management
Authentication and authorization mechanisms
Policy, permissions, and access-control models
Security-related data processing or control planes
Deep understanding of software design principles such as SOLID, modularity, testability, and long-term maintainability.
Experience leading systems through the full software development lifecycle: design, development, deployment, and ongoing evolution.
Strong communication skills, with the ability to align technical, research, and product stakeholders.

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:
At least 4 years of experience in software development.
Python Expertise: Strong professional background with a focus on modern, asynchronous Python and FastAPI.
AI Systems: Proven experience building with LLMs and RAG architectures, focusing on system design over simple prompting.
Data Mastery: Strong command of relational databases, specifically PostgreSQL and modern ORMs like Drizzle.
Problem Solver: A fast learner with outstanding problem-solving skills who thrives in a "zero legacy" environment.
Team Player: A collaborative engineer with a focus on collective success and technical excellence.
Nice-to-Have:
Experience with Temporal or similar distributed workflow engines.
Background in cybersecurity or application security products.

Requirements:
2nd / 3rd year student in computer science, mathematics, engineering or equivalent, with at least 3 semesters to graduation.
Strong Python programming skills - hands-on experience developing and debugging Python code.
Familiarity with AI neural networks and deep learning concepts (e.g., CNNs, Transformers), and common frameworks such as PyTorch / TensorFlow.
Ability to work in average 20-25 hours a week , while consideration is made for flexing hours during academic exam period. Working more hours during academic break periods (summer and holidays).

Requirements:
B.Sc. in Electrical Engineering, Computer Science, or a related field
At least 3 years of experience as Software Team Leader
At least 5 years of hands-on software engineering with strong C/C++ in embedded/firmware domains (drivers, RTOS)
Experience in developing complex Embedded software systems
Excellent problem-solving skills and attention to detail.
Strong communication and interpersonal skills.
Ability to work collaboratively in a fast-paced environment.

Requirements:
At least 4 years of experience in software development, designing, building, and operating production backend services.
Python Expertise: Strong professional background with a focus on modern, asynchronous Python.
Agentic AI Experience: Proven experience building LLM-powered agents in production - tool calling, multi-step reasoning, structured outputs - not just API wrappers or chatbots.
Evaluation Mindset: You treat prompts and agents as systems to be measured, not vibes to be tuned. Experience with eval frameworks, tracing, or LLM observability.
System Design: You can reason about latency, cost, reliability, and failure modes of LLM-based systems at scale.
Problem Solver: A fast learner with outstanding problem-solving skills who thrives in a "zero legacy" environment.
Team Player: A collaborative engineer with a focus on collective success and technical excellence.
Nice-to-Have:
Experience with Temporal or similar distributed workflow engines.
Experience with static analysis, program comprehension, or codebase-scale retrieval.
Background in cybersecurity or application security products.

Requirements:
5+ years of product marketing experience in B2B SaaS, ideally in cybersecurity, identity, or adjacent security verticals.
Genuine curiosity about AI, you follow how AI agents, copilots, and LLM-based tools are reshaping enterprise workflows and the security challenges they introduce.
Proven ability to distill complex technical concepts including emerging topics like agentic AI risk, non-human identities, and AI-SPM into crisp, compelling narratives.
Hands-on experience building competitive programs, running win/loss analysis, and turning insights into sales tools.
Strong cross-functional instincts you know how to influence without authority and build trust with Product, Sales, and Marketing peers.
A bias toward execution: you can move from strategy to artifact quickly, without sacrificing quality.
Fluent English (written and spoken) required.

Requirements:
BSc in Engineering, Computer Science, or related technical field.
Proven experience as a team leader, managing software development teams and delivering complex projects.
Strong background in DSP Sensing development (AI, Computer Vision, Audio and voice) and parallel computing, especially SIMD.
Familiarity with hardware architecture and strong embedded experience.
Experience working with compiler teams or low-level optimization.
Solid understanding of software development lifecycle and DevOps practices.
Strong communication skills and customer-facing experience.

Requirements:
B.Sc. in Electrical Engineering.
At least 10 years of experience developing communication algorithms and defining modem systems.
Strong knowledge of digital signal processing implementation using MATLAB, C, and embedded coding.
An independent problem solver with excellent system-level understanding.
Strong interest in continued learning and professional growth in wireless communications and system engineering.
Excellent communication skills and the ability to thrive in a global, multi-site environment.
Solid modem design skills.
At least 2 years of experience in a managerial or leadership position.

Requirements:
Professional Experience - 3-5 years of hands-on backend software development experience, demonstrating solid coding skills and a foundational understanding of software design and architecture.
Technical Proficiency -
Production Systems and Cloud - Experience building and operating production-grade services on a cloud platform (AWS preferred), including familiarity with containerization (Docker/Kubernetes), CI/CD, and observability tools like Grafana and Prometheus.
Programming - Strong command of at least one programming language, with Python or Rust being a strong advantage.
Web Services - Proficiency in designing and maintaining web services and APIs, particularly with REST and WebSocket protocols.
AI-Augmented Development - Hands-on experience using AI coding tools in your day-to-day workflow, with genuine curiosity to push their boundaries.
Mindset -
Engineering Quality - A commitment to clean, robust, and rigorously tested code - you treat quality as a first-class engineering concern, not something retrofitted at the end of a sprint.
Self-Learner - A strong ability to self-learn, step out of your comfort zone, and independently take a concept from research to production.
Problem Solver - Strong capability to work through complex issues and adapt to evolving technologies and environments.
Advantages -
Familiarity with the ML model lifecycle - training, evaluation, deployment, and monitoring of models in production.
Experience with Data Engineering and big-data pipelines (e.g., Dagster, Airflow, Iceberg).
Experience with TensorFlow, PyTorch, or Computer Vision concepts.
Experience with distributed systems, message queues (Kafka, RabbitMQ, SQS), and high-scale infrastructure.

Requirements:
Background in AI/ML or security research. Ideal candidates have both, but we're equally open to candidates from data science or security research backgrounds with demonstrated depth in AI systems.
5+ years of experience in the AI or security industry.
Solid understanding of AI agents: how tool use, memory, planning, and orchestration layers interact, and where that architecture introduces risk.
Working knowledge of LLM and agentic security - prompt injection, jailbreaks, tool-use exploitation, memory/context poisoning, and related attack classes.
Knowledge of AI vulnerabilities at both the model and infrastructure layers, and familiarity with effective mitigation strategies (e.g., guardrails, sandboxing, input/output filtering, access controls).
In-depth understanding of LLMs, generative AI, agentic systems, and RAG pipelines - how they're built, where they break, and how failure modes propagate through a system.
Strong research methodology and judgment: experience designing large-scale experiments, forming hypotheses, and applying quantitative rigor to evaluate results, identify signal from noise, and draw defensible conclusions from complex or ambiguous data.

Requirements:
B.Sc. in Electrical Engineering, Computer Engineering, or related field (recent graduate).
Strong programming skills:
Python (must)
Linux/Unix shell scripting (must)
Basic understanding of VLSI / ASIC / verification concepts (academic level is sufficient).
Strong motivation to learn and grow in CAD /Emulation and infrastructure general domain