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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:
Professional Experience - 3-5 years of experience in backend software development, demonstrating solid coding skills and a foundational understanding of software design/architecture.
System Management Knowledge - Familiarity with critical production systems, encompassing aspects like load balancing, caching, and distributed systems.
Web Services Skills - Proficiency in designing and maintaining web services, particularly with REST and WebSocket protocols.
Monitoring Abilities - Competence in monitoring high-rate, intensive systems using tools like Grafana and Prometheus.
Kubernetes and Cloud Services - Experience with Kubernetes and cloud services (AWS preferred) is beneficial.
Problem-solving and Adaptability - Strong capability to solve complex issues and adapt to evolving technologies and environments.
Agile Familiarity - Understanding of Agile methodologies and practices.

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 experience in building high-quality embedded software using C/C++.
BSc/MSc in Computer Science, Electrical Engineering, or equivalent.
Proven experience developing and maintaining complex embedded systems, including multi-component software stacks, tight HW/SW integration, and system-level debugging.
Experience in designing and implementing software based on product & hardware specifications.
Experience working under tight memory, power, and real-time constraints.
Excellent interpersonal and communication skills, with a proven ability to work well in a team.

Requirements:
B.Sc in Engineering, Computer Science, or related technical field.
5+ years of experience as SW Architect.
8+ years of experience as SW developer.
Proficiency in Python, C++.
Proven track record in Software Architecture development, maintenance and improvement over embedded processors in AI and vision domains.
Excellent communication skills, both verbally and in writing. Collaborative and influential across organizations.
Proven ability to advance initiatives effectively in ambiguous and dynamic environments.
Ability to work and operate in a highly dynamic environment.

Requirements:
B.Sc/M.Sc. in Engineering, Computer Science, or related technical field.
5 - 10 years of experience as hands-on software engineer
Experience in C/C++ programming
Enthusiastic about ML, AI and Computer Vision
Experience in developing complex embedded software systems
Excellent problem-solving skills and attention to detail.
Good communication skills.
Good ability to manage time and prioritize tasks.
Independent and self-motivated

Requirements:
B.Sc. in Computer Science, Electrical Engineering, or related field.
8+ years of experience in C++ software development (embedded/system-level preferred).
3+ years leading engineering teams.
Experience managing multiple teams or group-level responsibilities.
Strong understanding of HW/SW interaction and system architecture.
Proven track record delivering complex software systems.

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:
8+ years in backend engineering, with proven people leadership as a manager or team lead, delivering in fast-paced environments without micromanaging
Strong production experience with web services/APIs on AWS, PostgreSQL, Redis, S3, Kubernetes, and Kafka (including failure handling)
Experience with data pipelines (batch/streaming) and monitoring/observability tools - dashboards, logs, metrics, tracing, alerting, and on-call
An advantage: familiarity with the ML model lifecycle, Python or exposure to Python-based research teams, big data infrastructure, Computer Vision/Deep Learning, or hands-on use of AI coding tools
Ability to inspire, mentor, and grow engineers, with strong self-learning skills in unfamiliar domains
Clear communicator across technical and non-technical partners, balancing company priorities with sustainable delivery and team satisfaction

Requirements:
B.Sc. in Electrical Engineering, or related field.
10 years of experience in Verilog/SV and Front-End design development.
3+ years leading a team of engineers.
Experience managing multiple I/F with different groups within the company.
Strong understanding of HW/SW interaction and system architecture.
Superb knowledge in VLSI development on all if its aspects - VLSI Design, Verification, CAD, Emulation and Back end facing incredible challenges in PPAA targets.

Requirements:
Professional Experience: At least 5 years of hands-on Software Engineering experience, with a minimum of 2 years in a team lead or managerial role.
Technical Proficiency:
Production Systems and DevOps: Proven experience building high-scale, production-grade systems on a cloud platform (AWS preferred), with solid command of DevOps practices including CI/CD, containerization, and observability.
Programming: Strong command of at least one programming language, with Python or Rust being a strong advantage.
AI/ML Systems: Solid understanding of the ML model lifecycle, including training, evaluation, deployment, and monitoring, with enough hands-on exposure to make good infrastructure decisions around it. Experience with TensorFlow, PyTorch, or Computer Vision concepts is an advantage.
AI-Augmented Development: Hands-on experience integrating AI coding tools into engineering workflows, with a genuine interest in expanding their use across the team.
Data Engineering: Hands-on experience with data pipelines and big data infrastructure.
Leadership and Mindset:
Engineering Quality: You hold a high bar for correctness, reliability, and maintainability, and you treat quality as a first-class engineering concern, not something retrofitted at the end of a sprint.
Team Builder: A people-first approach to leadership. You coach, you unblock, and you build psychological safety alongside technical excellence.
Engineering Judgment: A strong ability to self-learn, cut through ambiguity, and land well-reasoned technical decisions under pressure.