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Requirements:
Holds a B.Sc. in Computer Science/Mathematics/Physics or any other relevant field - Required
Has 3+ years of experience with statistical and machine learning tools - Python, R, etc.
Strong communicative and verbal abilities to lead and guide customers through the logic of custom-built models
Has previous experience developing machine learning/ image processing/NLP or similar algorithms
Demonstrated experience utilizing probability theory and statistics
Familiarity with SQL
Experience with Big Data tools and cloud infrastructure; PySpark, AWS (big advantage)
Strong analytical skills; experience analyzing and processing tabular data, and extracting insights (big advantage).

Requirements:
B.Sc. or M.Sc. in Computer Science or a related field or equivalent work experience.
At least 3+ years of related experience in software development with 2+ years of experience in native Android app development (using Java/Kotlin).
Have recent experience working on at least one app which was published to the Playstore.
Experience with Jetpack Compose and Kotlin coroutines.
Experienced with CI/CD pipelines (Gitlab CI, Github Actions, etc.) and automatic testing frameworks - advantage
Experienced with with iOS apps development - advantage
Experienced with Node.js and cloud technologies (S3, EC2, EMR or comparable services) - advantage
Comfortable taking challenges and learning new technologies, including new coding languages.
Passionate for high-scale ecosystems.
Excellent team player with strong communication skills.
High proficiency in both written and spoken English.

Requirements:
Education: BSc degree in Computer Science, Engineering, or a related technical field (Recent graduates are welcome).
Programming: Proficiency in one or more of the following languages: Python, Java, or Scala.
Fundamentals: Strong grasp of Computer Science fundamentals, including Data Structures, Design Patterns, and Object-Oriented Programming.
Soft Skills: Excellent communication skills with the ability to engage in dialogue within data teams.
Mindset: Passionate about data , holds a strong sense of ownership , and comfortable in a fast-paced environment.
Advantages (Not required, but great to have)
Previous internship or work experience in software or data engineering.
Basic understanding or familiarity with CI/CD practices and Git.
Familiarity with containerization technologies like Docker and Kubernetes.
Familiarity with Cloud providers (AWS / Azure / GCP) or Big Data frameworks (Spark, Airflow, Kafka).

Requirements:
5+ years of experience in IT Operations or Support, with at least 2 years in a leadership or management role.
Proven experience managing and supporting:
Managing a cross-platform endpoint environment (Mac and Windows)
Google Workspace administration
Okta or similar SSO/identity platforms
Office 365 suite
MDM tools (e.g., Jamf, Kandji, Intune, etc.)
Strong understanding of onboarding/offboarding lifecycle management and device provisioning (Mac & Windows).
Excellent communication and interpersonal skills, with the ability to lead and collaborate across global teams.
Experience working in a cloud-first, SaaS-heavy environment.
Industry certifications (e.g., ITIL, MIcrosoft, Okta Certified Administrator).
Familiarity with automation tools like Okta Workflows, scripting (Bash/Python/PowerShell), or RPA.
Experience working in ISO27001/SOC2-compliant environments.

Requirements:
Passionate about data and problem-solving.
Holds an M.Sc. or Ph.D. in Computer Science, Mathematics, Physics, Engineering, or a related field.
Has 3+ years of experience developing machine learning and statistical algorithms in a production environment.
Brings 1+ years of people management experience - Must
Strong experience with Big Data and ML production pipelines (a strong advantage).
Familiarity with the web, internet, app, or online industry (an advantage).
Excellent interpersonal communication skills.

Requirements:
At least 2 years experience with SQL/pySpark for data analysis - Must
Experience in Python scripting - Must
Excellent verbal and communication skills in English - Must
AWS Infrastructure experience - Big Advantage
Working with clients - Big Advantage.
Proficiency in Online Marketing/Online Services - Advantage
At least 2 years work experience in Online/Tech Company - Advantage
Team player, autodidact, fast learner with excellent analytical, research and business skills.
Demonstrates initiative and a proactive mindset -Must
Experienced in independently managing complex projects from start to finish.
Have a Bachelor's in Statistics, Computer Science, Engineering, or related field.
Master's degree - Big Advantage.

Requirements:
BSc/BA in a quantitative field (Accounting, Economics, Analytics, or related field).
4-5 years of experience in commissions and/or equity-related roles.
Previous experience leading processes or teams (preferred).
Strong proficiency in Excel and BI tools such as Salesforce, Looker, or similar platforms.
Exemplary oral and written communication skills, in English and Hebrew.
Proven ability to manage multiple complex tasks with strong attention to detail and a structured approach.
Analytical mindset with the ability to evaluate, optimize, and integrate compensation structures.
Ownership mentality with accountability for end-to-end processes.
Service orientation and excellent interpersonal skills to collaborate effectively across departments.
A continuous drive for process improvement and operational excellence.

Requirements:
At least 4 years experience as a data/ business analyst (B2B SaaS experience is a significant advantage).
A bachelors degree in a quantitative field (advantage)
SQL proficiency - a must; Python- a plus
Experience with analytics and visualization tools (Tableau - an advantage).
An in-depth understanding of the B2B sales landscape & digital data industry - an advantage
Strong problem-solving skills and ability to think strategically.
Proficiency in working with complex data schemas.
Can use their analytical skills to drive business impact.
Ability to interact comfortably with colleagues, especially around data-related topics.
Excellent communication and presentation skills.
Proficiency in English.
Positive, team-oriented, and can-do attitude.

Requirements:
Must haves
5+ years of product management experience, including meaningful ownership of client facing APIs for external developers
Proven track record of shipping and growing developer facing products, with measurable impact on adoption, usage and retention
Strong technical understanding of API design and architecture: REST, HTTP, authentication, versioning, rate limiting, and data modeling
Experience working closely with backend engineers and data teams, comfortable discussing trade offs around scalability, performance and reliability
Demonstrated ability to own a product roadmap end to end, from discovery and strategy to delivery and iteration, in a SaaS or data platform environment
Excellent communication skills in English, capable of explaining technical concepts to non technical stakeholders and translating business needs into technical requirements
Deep empathy for developers and technical customers, including experience gathering their feedback and turning it into product improvements
It is a plus if you have
Experience with data platforms, analytics products, or Data as a Service offerings, especially at scale
Hands on experience working with APIs as a user, using tools like Postman, curl or custom scripts to explore and validate endpoints
Familiarity with cloud data integrations such as AWS S3, Snowflake, and similar data sharing mechanisms
Big advantages
Background working on AI or ML powered products where APIs served as core building blocks
Experience designing APIs and schemas specifically for LLM or agentic consumption, including concepts like RAG, vector search, and evaluation of AI powered experiences
And if you have any of these, boom
Experience with Model Context Protocol (MCP) or similar standards for connecting AI agents to tools and data
Deep familiarity with developer experience best practices, developer portals, SDK ecosystems and metrics such as time to integration and developer NPS
Prior experience as a software engineer or writing production code, especially in backend or data engineering environments
Exposure to SEO, digital marketing, competitive intelligence, or adjacent domains where Similarweb data is heavily used.

Requirements:
Has at least 5 years of experience as a Product Manager in a B2B or B2C tech company, ideally in a SaaS or data-driven environment.
Brings a strong technical background or analytical mindset-with the ability to translate data into actionable insights.
Has demonstrated success in managing the full product lifecycle, from concept to launch and optimization.
Is highly data-driven, experienced in A/B testing, and comfortable making decisions based on evidence and experimentation.
Is a clear and structured communicator, able to align diverse stakeholders around a shared vision.
Excels in collaboration, driving engagement and efficiency across teams and departments.
Demonstrates learning agility-comfortable navigating ambiguity, adapting to change, and continuously improving.
Holds a degree in Computer Science, Information Systems, Industrial Engineering, or a related field (MBA is an advantage).