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Requirements:
Minimum of 2 years experience as a Talent Acquisition Specialist - Preferably from a global SaaS company.
Ability to work on multiple tasks, adapting quickly to changing priorities and requirements in a dynamic, fast-paced environment.
Proven experience with recruitment tools - ATS (Comeet - a plus), LinkedIn Recruiter, etc.
Strong ability to work with multiple managers and departments simultaneously, and prioritize tasks effectively.
Detail-oriented with strong organizational capabilities, self-motivated, and capable of independent work.
Strong commitment to delivering an outstanding candidate experience.
Team player with a proactive and "can-do" attitude.
Great interpersonal and communication skills.
Excellent verbal and written communication skills in both Hebrew and English - Must.
BA in Psychology, Human Resources, Social Science, or equivalent.

Requirements:
4-7 years of experience in a top-tier management consulting firm or in a corporate strategy/corporate development role within a global company (having both is a strong advantage).
Bachelors degree in Business, Finance, Economics, or related field; an advanced degree is a plus.
Proven ability to build strategic frameworks, lead planning processes, conduct market research, and implement growth initiatives.
Experience in M&A processes - a strong advantage.
Strong financial modeling and analytical skills.
Excellent communication, presentation, and interpersonal skills.
Strategic thinker with a data-driven mindset and the ability to take calculated risks.
Highly organized, with strong project management and leadership capabilities.

Requirements:
5+ years of SaaS sales experience, selling to IT stakeholders is an advantage.
Proven hunter mentality with a track record of exceeding quota.
Background in technical sales (Sales Engineering, Customer Support, or Success).
Experience in international (ROW) sales.
Strong communicator and presenter; comfortable with multi-stakeholder, complex deals.
Naturally collaborative- you thrive in a team-selling environment.
Builder mindset- resourceful, strategic, and proactive in shaping how we go to market.
Tech-savvy and comfortable with tools like Salesforce, Gong, SalesLoft, Highspot, ZoomInfo.

Requirements:
Computer Science degree or equivalent technical training.
2+ years of experience in Java or another JVM language with solid object-oriented design skills
Sharp analytical and problem-solving abilities for complex distributed systems challenges
Adaptability and comfort working in a fast-paced, multi-tasking environment where priorities can shift quickly

Requirements:
2-3 years of experience as a Software Developer, preferably with Full Stack or data-platform experience
Strong working experience with Python and/or TypeScript/JavaScript (Node.js)
Solid understanding of software engineering principles, design patterns, and clean code practices
Experience with REST APIs, SQL and NoSQL databases
Familiarity with Docker, cloud infrastructure, and microservices architectures
Strong problem-solving abilities and the ability to work independently in a fast-paced environment
Team player with excellent communication, ownership, and collaboration skills
BSc in Computer Science, Software Engineering, or equivalent experience

Requirements:
5+ years of experience designing SaaS B2B that excel in PLG products.
Strong product thinking and the ability to connect user needs with business goals.
Excellent UX and visual design skills with attention to detail.
Entrepreneurial mindset, flexible, pragmatic, and able to thrive in ambiguity.
A collaborative team player with fluent English.
Nice to Have
Experience in consumer SaaS, complex products, or startup environments.
Familiarity with growth marketing, activation funnels, or conversion optimization.
Hands-on experience with analytics or experimentation tools such as Mixpanel or Amplitude.
Experience using or designing with AI-driven tools.

Requirements:
5+ years of experience as a Software Developer
Proficiency in Python and modern software engineering best practices
Experience with Linux, Git, and Docker.
Hands-on experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes)
Proficiency with relational and non-relational databases (e.g., PostgreSQL, MongoDB).
Experience with ML frameworks and GenAI (NumPy, Pandas, Scikit-learn, PyTorch, Hugging Face, LangChain, RAG)
Background in cybersecurity - big advantage
BSc in Computer Science or related field - advantage

Requirements:
6+ years of hands-on experience in Windows development, using languages such as C#, Python, Go, Java, or Rust for system-level engineering.
Proven track record of leading development efforts in a fast-paced, results-oriented environment, including responsibility for delivering products to customers (CI/CD pipelines, packaging, and release processes).
Bonus: Background in Windows internals, process injection techniques, or sandboxing technologies.
Strong advantage: Experience in security domains such as behavioral detection, endpoint protection, or anti-tampering.
Genuine curiosity about GenAI, LLM integrations, and modern developer tooling.
A strong sense of ownership and motivation to help define and build a new product line from the ground up.

Requirements:
6+ years of experience in product analytics or data analysis, with a strong track record in PLG SaaS and a deep understanding of product behavior, engagement, and user journeys.
Deep understanding of KPIs, product metrics, and success criteria for evaluating product performance.
Strong understanding of business impact - able to translate product data into actionable insights that drive customer value, revenue, and retention.
Comfortable working across various data types: front-end events, backend services, and application database models.
Advanced SQL skills with a solid understanding of relational databases (preferably MySQL).
Proven experience in Power BI, including building dashboards, integrating multiple data sources, and using DAX for calculated metrics.
Hands-on experience with product analytics tools such as Mixpanel, DataDog, Heap, or Amplitude.
Excellent communication and collaboration skills, with the ability to clearly articulate insights to diverse stakeholders and work fluently in English (written and spoken).
Proven ability to partner with R&D to define, implement, and validate tracking and data collection that supports accurate analysis.
Experience working within Agile product development squads.
Nice to Have:
Experience working at startups or scale-ups, where ownership, pace, and ambiguity are common.
Prior experience as a founding or solo product analyst, setting up tooling and data infrastructure.
Familiarity with implementing event tracking frameworks and building dashboards or BI workflows from scratch.
Exposure to technical products or platforms with complex user workflows.
Familiarity with Snowflake, Rivery, or similar tools.
Experience with Python for data analysis and reporting.

Requirements:
4+ years of backend development experience with a strong focus on Node.js (JavaScript/TypeScript).
Hands-on experience building and maintaining enterprise-grade applications with frameworks such as Express.js or NestJS.
Experience or strong demonstrable knowledge of working with Large Language Models (LLMs) and their APIs.
Proven expertise in microservices architecture and distributed systems design.
Strong experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB), including query optimization.
Solid knowledge of RESTful API design and best practices for secure, scalable services.
Familiarity with Docker and Kubernetes for containerized deployments.
Experience with messaging systems (e.g., RabbitMQ, Kafka) and caching layers (e.g., Redis).
Understanding of CI/CD pipelines, Git workflows, and Agile methodologies.
Strong analytical and problem-solving skills with keen attention to detail.
Bonus Points For:
Experience with cloud platforms (AWS preferred) and cloud-native application development.
Familiarity with serverless architectures and advanced AWS services.
Exposure to observability tools (e.g., Prometheus, Grafana, ELK stack) and performance monitoring.
Knowledge of security best practices for cloud and microservices environments.
Direct experience building generative AI agents or applications.
Knowledge of prompt engineering, vector databases, or context engineering.

Requirements:
3+ years of experience building production-level applications.
4+ years in a management role, including recruiting and scaling teams.
Hands-on experience with AWS and CI/CD pipeline implementation.
Proven backend experience with Node.js.
Familiarity with microservices architecture and large-scale system design.
Strong knowledge of relational and non-relational databases.
Excellent organizational and people management skills, with the ability to foster a collaborative and high-performance environment.

Requirements:
Can-do approach with strong problem-solving mindset.
7+ years in backend or platform engineering.
Strong skills in Python, Java, C#, or similar languages.
Strong experience with CI/CD, build systems, automation, and developer tooling.
Experience with Kubernetes, containers, and Infrastructure-as-Code (Terraform, Helm/Kustomize).
Strong communication and architectural skills.

Requirements:
3+ years in a product marketing position for an enterprise software company.
Native English speaker - A must.
Experience in marketing to a highly tech-savvy audience.
Excellent communication and writing skills, and experience creating value-centric marketing collaterals.
Proven track record of owning and executing successful product launches.
Strong project management skills.
Experience in market and competitive analysis.
An analytical mind and strong quantitative skills. You should be able to tell a story through data.
Prefer working in a collaborative, cross-team capacity.