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Requirements:
You have 10+ years of hands-on experience in offensive security, with deep, demonstrable expertise in at least one of: penetration testing, red teaming, application security research, or vulnerability discovery
You've identified and exploited complex vulnerabilities in web applications, APIs, cloud environments, or infrastructure
You have strong programming or scripting skills (Python, Go, Bash, PowerShell) for tooling and automation, and a solid grasp of attack frameworks (MITRE ATT&CK) and vulnerability classes (OWASP, CWE)
Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)

Requirements:
Degree or diploma in Mechanical Engineering or a related field
Basic experience with CAD software such as SolidWorks, Fusion 360, or AutoCAD
Strong technical thinking and attention to detail
Ability to read and understand technical drawings
Good communication and teamwork skills
Eagerness to learn and grow in a fast-paced environment
English proficiency, written and spoken

Requirements:
Strong experience building and deploying computer vision models (detection + segmentation)
Hands-on experience with training pipelines and dataset iteration
Proven ability to improve performance with imperfect / noisy data
Experience working with real-world vision problems (not only curated datasets)
Practical understanding of deployment constraints (latency, memory, model size)
Experience exporting models to ONNX / TensorRT (or similar)

Requirements:
5+ years of experience as a Full Stack Developer.
3+ years of hands-on experience with Node.js.
3+ years of experience with a modern frontend framework such as React, Angular, or Vue.js.
Solid understanding of web application architecture, design patterns, and development best practices.
Strong problem-solving skills and ability to work independently.
A strong sense of ownership and responsibility for delivering high-quality products.
Excellent teamwork and communication skills.
Full professional proficiency in English.

Requirements:
5+ years of product management experience in B2B, B2B2C, or B2G SaaS environments, preferably in cybersecurity or threat intelligence domains.

Proven experience building and executing product roadmaps in startup or high-growth environments.

Strong user empathy with a customer-centric approach to UX/UI, specifically focused on improving the user experience and workflows, reducing cognitive load in complex security workflows and dashboards.

Excellent collaboration skills with the ability to work cross-functionally across engineering, research, and go-to-market teams.

Full professional proficiency in English and Hebrew, with strong communication skills and experience presenting to clients, conducting webinars, and leading feedback sessions.

Proven experience leading data-rich product initiatives (e.g., threat intel feeds, dashboards, analytics), with a strong analytical mindset. Must be highly analytical and comfortable working hands-on with databases, queries, scripting, and data visualization tools to explore data, validate hypotheses, and support decision-making in a fast-paced threat environment.

Requirements:
At least 1+ years with proven experience in a technical support, application support, or junior integration engineering role.
At least 1 year of experience working directly with international customers in a customer-facing role, with the ability to manage technical conversations and provide excellent customer support.
Helpdesk Tools: Solid working knowledge of Zendesk at the agent level (ticketing, macros, views, and basic SLA tracking).
Integration Concepts: Familiarity with APIs, webhooks, and data exchange formats like JSON and XML.
Database Familiarity: Practical experience querying and troubleshooting databases, with exposure to SQL, MongoDB, or Elasticsearch.
Basic Scripting: Ability to read, modify, or write basic scripts (e.g., Python, JavaScript) to help automate tasks or troubleshoot issues.
Communication: Exceptional verbal and written communication skills in English; capable of translating technical details into clear, digestible language for MVP customers.

Requirements:
4-8 years of B2B SaaS/ AI sales experience, with a strong track record of closing new business.
Experience owning a full sales cycle, ideally selling to mid-market or enterprise customers.
Strong prospecting, discovery, negotiation, and closing skills.
Comfortable selling a new product and category without an established brand or playbook.
Strong commercial judgment and ability to navigate complex buying processes.
Excellent communication and presentation skills.
Highly entrepreneurial, hands-on, and comfortable building from zero.
Native-level English proficiency- exceptional spoken and written English is essential

Requirements:
2-5 years of experience in SDR, BDR, Business Development, or a similar customer-facing role, preferably in B2B SaaS.
Proven success generating qualified meetings and pipeline through outbound prospecting.
Native or near-native English proficiency.
Exceptional written and verbal communication is essential.
A true hunter mentality -persistent, curious, proactive, and motivated by opening new doors.
Strong ability to research accounts and personalize outreach based on business context.
Comfortable using data to prioritize accounts, test messaging, and improve conversion.
Experience with outbound and sales technology such as LinkedIn Sales Navigator, HubSpot, Apollo, Outreach, Lusha, or similar tools.
Comfortable using AI tools to improve research, personalization, and sales productivity.
Ability to thrive in a fast-paced startup environment with a high degree of ownership and ambiguity.
Genuine interest in AI, EdTech, and the future of workplace learning.
Additional languages such as Spanish, French, Portuguese, German, or Italian are a strong advantage.
Experience mentoring or leading BDRs is a plus.

Requirements:
● Minimum 4 years of experience as a full stack engineer.

● 1-2 years of experience leading or owning technical delivery for other engineers.

● Proven experience building production-grade full stack systems cloud-based environments using C# / NestJS / Python / Java or any other OOO langauge.

● Proven experience with a modern frontend framework such as React, Angular, or Vue.js.

● Experience with both relational databases (such as MySQL, PostgreSQL, etc) and non-relational (such as MongoDB, Elasticsearch, etc)

● Experience working with AWS or similar cloud platforms.

● Experience with Docker and Kubernetes.

● Strong understanding of microservices, APIs, and full stack system design.

● Ability to balance people leadership with hands-on technical work.

● Strong communication skills and a high sense of ownership.

● Full professional proficiency in English.

Requirements:
6-8 years in Product Marketing, GTM, or a related role, with strong B2B SaaS/ AI experience.
Proven experience in positioning, messaging, ICP, sales enablement, and GTM strategy.
Strong understanding of B2B and enterprise buying processes.
Experience launching products or entering new markets globally.
Excellent storytelling, writing, and communication skills.
Native-level English proficiency- exceptional spoken and written English is essential
Strong commercial mindset and ability to connect customer insights to business impact.
Strategic thinker who is also highly hands-on and comfortable building from scratch.

Requirements:
3+ years of experience in a technical role within the cybersecurity industry.
Proven experience in Sales Engineering, Solutions Engineering, Intelligence Analysis, Technical Consulting, or a similar customer-facing technical role.
Strong understanding of cybersecurity concepts, threat intelligence, and the security landscape.
Experience presenting and demonstrating technical products or solutions to customers and stakeholders.
Strong analytical and problem-solving skills, with the ability to understand complex technical challenges and translate them into practical solutions.
Excellent verbal and written communication skills.
Full professional proficiency in English.
Ability and willingness to work primarily on US working hours.
Willingness to travel internationally, primarily to the US, on an occasional basis.
Experience with HubSpot is a plus.
Background in intelligence analysis within a cybersecurity vendor, integrator, or customer environment is strongly preferred.

Requirements:
MSc or PhD in Machine Learning, AI, NLP, or a related field
A track record of bringing academic research to industry applications
A strong publication record at top-tier venues - NeurIPS, ICML, ICLR, ACL, EMNLP, or NAACL
Proven experience researching and deploying production-grade ML or AI systems
Deep hands-on experience with PyTorch, Transformers, and modern LLM tooling
Solid understanding of LLM pretraining, fine-tuning, post-training and alignment techniques
Strong coding skills and comfort working across the research-to-production boundary

Requirements:
3+ years experience as a threat intelligence analyst in a corporate environment
Knowledge of cybercrime landscape, both financially-motivated threat actors and nation-state
Investigative and analytical problem-solving skills
Active interest and creative thinking in cybersecurity
Experience in writing reports for various types of audience in English
Excellent attention to details and ability to organize and prioritize work with little supervision
An ability to operate semi-autonomously to conduct collection, create solutions and support intelligence production

Requirements:
At least 6 years of production software engineering experience, primarily in backend systems, including meaningful ownership of data-intensive platforms or infrastructure.
Strong proficiency in Python, Java, and SQL, with experience in testing, typing, performance optimization, and production debugging.
Strong backend engineering fundamentals, including service and API design, asynchronous and concurrent processing, failure handling, and operational reliability.
Experience with relational and non-relational databases such as PostgreSQL, Redis, or MongoDB.
Hands-on experience with AWS, Docker, Kubernetes, CI/CD, and production observability.
Deep experience designing and operating ETL/ELT pipelines and batch or streaming data systems.
Hands-on production experience with Apache Flink for distributed stream processing.
Hands-on production experience building reactive data-processing pipelines with RxJava/Project Reactor, including backpressure, scheduling, error handling, testing, and operational debugging.
Experience with event-driven architectures and messaging systems such as Kafka or AWS SQS.
Strong understanding of data modeling, warehouse and lakehouse architecture, schema evolution, and data quality.
Hands-on experience with dbt for data modeling, testing, documentation, lineage, and semantic-layer development.
Hands-on experience with at least one analytical data platform such as Snowflake, Databricks, ClickHouse, Athena, Trino, or Dremio.
Hands-on experience with at least one dataframe library: Pandas, Polars, or Daft.
Experience with workflow orchestration tools such as Airflow or Dagster.
Clear communication skills and a strong ownership mindset, with a track record of leading cross-functional technical initiatives through to production.

Requirements:
Minimum of 7 years of experience designing and developing scalable, distributed backend systems in one or more modern programming languages (Python is a plus).
Deep expertise in Python concurrency and execution models (WSGI, ASGI, asyncio, multiprocessing, threading, GIL).
Proven track record building production-ready asynchronous Python applications serving high-volume traffic.
Strong experience with Pydantic and FastAPI in production environments.
Expertise in designing and implementing RESTful APIs and gRPC services with strong emphasis on versioning strategies and backward/forward compatibility.
Demonstrated ability to solve complex performance, scalability, and workload distribution challenges.
Proficiency with relational and non-relational database solutions (PostgreSQL, Redis, DynamoDB, MongoDB), including query optimization and data modeling.
Experience with event-driven architectures and message queuing systems (Kafka, RabbitMQ, AWS SQS).
Hands-on experience with Docker, understanding of CI/CD pipelines and methodologies, and working in Kubernetes/AWS-based deployments.
Strong proficiency with AWS cloud services and cloud-native architectures.
Understanding of observability practices (distributed tracing, metrics, logging) and experience with monitoring tools.