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At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.

In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.

Were looking for a BIG DATA DEVELOPER for the Data Collection, Ingest team to contribute to the design and coding of Similarwebs data ingestion services. This role involves working as part of a team that handles millions of requests per minute across hundreds of servers, processing billions of events each day.

This role will report to the R&D Director of Data Collection.


Why is this role so important at Similarweb?

As the most trusted platform for measuring online behavior, millions of people rely on Similarwebs insights daily as the ground truth for their knowledge of the digital world. Producing these insights requires large scale raw data to be ingested reliably in high scale to provide stable signals for analysis.

You will have the opportunity to perform hands-on work and own Similarwebs raw data ingestion pipeline end-to-end. Your work will directly impact the quality and reliability of our data and the insights our products deliver to our customers.

So, what will you be doing all day?

Your role as part of the Ingest, Data Collection team means your daily responsibilities may include:

Design, code and manage end-to-end Similarwebs data ingestion pipelines, both online and offline.
Run the production environment by monitoring availability and taking a holistic view of system health and data quality.
Own data infrastructure features from design to production using industry best practices with focus on quality and delivery.
Lead designs & decision-making processes of the team.
Solve diverse, complex problems of scale, performance and business logic.
Collaborate with product managers and other team leaders to plan, nurture, and implement an efficient and effective development process.
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products
Perform code reviews, evaluate implementations, and provide feedback about potential improvements.
Improve your skills, learn from and mentor top-notch engineers and enrich other team members.
Have lots of fun!

Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in todays digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more.

In 2021, we went public on the New York Stock Exchange, and we havent stopped growing since!


Were looking for a Big Data for Shopper Group, to develop and integrate systems that retrieve, process and analyze data from around the digital world, generating customer-facing data.

Why is this role so important at Similarweb?

Similarweb is a data-focused company, and data is the heart of our business.

As a data engineer, you will work at the very core of the shopper solution, designing and implementing complex high scale systems to retrieve and analyze data from millions of digital users.

Your role as a data engineer will give you the opportunity to use the most cutting-edge technologies to solve complex technical problems.


So, what will you be doing all day?

Your role as part of the R&D team means your daily responsibilities may include:

You will work in a heterogeneous team alongside data scientists. Together you will tackle complex data challenges and bring new solutions and algorithms to production.
Develop and maintain data processing jobs using big data technologies
Contribute and improve the existing infrastructure of code and data pipelines, constantly exploring new technologies.
You will experiment with various technologies in the domain of big data processing.
You will monitor our data pipelines to ensure data is ingested correctly from various sources, you will identify and fix bottlenecks and failures.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in todays digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more. In 2021, we went public on the New York Stock Exchange, and we havent stopped growing since!

We are looking for a talented and dedicated ML & Big Data Analyst who will be a part of the Core Data group.

As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.

What does the day-to-day of a ML & Big Data Analyst at Similarweb look like:

Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will ensure the quality of Similarwebs data and algorithms.
Utilize your deep understanding of Similarwebs data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
Partner with Big Data Engineers to establish an infrastructure to scale solutions.

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.

In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.

Were looking for a Data Engineer to join our Digital Insights (DI) department, which specializes in professional services for our super-premium customers.

This role will report to our DI (Digital Insights) Data Science Team Manager in the R&D

Why is this role so important at Similarweb?

Similarweb is a data-focused company, and our unique AI and machine learning capabilities are the center of our business.

As part of this role, you will create and support a complex data model pipeline that helps analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions

As a data engineer in the DI team, you will work on the very core of the company. Part of your role will be to create processes that help turn raw data into usable metrics and leverage AI models and statistical algorithms to support out-of-the-box requests from customers who want custom digital insights. The DI departments business-oriented nature also means you will be supporting a team of analysts and data scientists who interact directly with customers. Together with them, you will translate the voice of these customers into best-in-class digital insights.

So, what will you be doing all day?

Your role as a Data Engineer means your daily responsibilities may include:

Building and maintaining our big-data pipelines
Take a major part in designing and implementing complex high-scale systems using a large variety of technologies
Be part of a team with smart and motivated engineers, and data scientists, to collaborate on the planning, development, and maintenance of our products
Implement solutions in the AWS cloud environment, and work in Databricks with PySpark

Were looking for a Senior Data Product Manager to design, build, improve and leverage the data products that feed our multiple platform products, to scale and drive efficiency and growth.

This role will report to the Director of Product Management, Data.

Why is this role so important at Similarweb?

The Data Product Manager bridges between the Platform Product Manager, focusing on the application layer, and the data products built to fuel it.

The Data PMs expertise in data, alongside their business acumen makes them the perfect product professional to identify and translate the business strategy into scalable data products that drive business value.

We are looking for a true data enthusiast, passionate about translating business requirements into data ones, building relationships as well as methodologies and processes, and taking ownership over complex data projects.

You will directly impact and steer the work of a team of engineers, data scientists and data analysts by guiding the collection, development and delivery of the data products they develop.

So, what will you be doing all day?

Your role as part of the Data Product Management team means your daily responsibilities may include:

Work with the Business, Strategy and Product leaders to unlock and understand both vision and direction - to then build a data roadmap that can support and boost it.
Meet with and interview clients and Account Executives, to understand users needs and pains, and design data products that solve these best.
Guide and steer the Data Teams (Data Scientists and Data Engineers) work, projects, priorities and execution - to deliver datasets that drive high impact, and address business, product and client needs and opportunities.
Lead the roadmap of the data supporting the different products and own the collection of needs, prioritization of opportunities and execution of the data deliverables.
Act as the owner and manager of all data acquired, generated and processed by the Data Team, to exhaust and leverage it - by the according products.
Define and solve the most challenging data collection, structuring, cleansing, modeling and serving challenges, to help Data, Product and Business teams make the best decisions on these.
Break down high level business questions into concrete and actionable data analyses, architecture designs and data requirements - working hands on on each.
Analyze and optimize data performance, coverage, diversity and quality processes
Work with different stakeholders across multiple products to enhance data adoption, improve data utilization and address contradicting and complementary needs that would impact how you build the companys data products.
This role requires a mix of product sense,project management, data acumen, technical sense, business logic, analytical skills and personal skills.

Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in todays digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more. In 2021, we went public on the New York Stock Exchange, and we havent stopped growing since!

We are looking for a talented and dedicated Data Analyst who will be a part of the Core Data group.

As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.

What does the day-to-day of a Data Analyst at Similarweb look like:

Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will ensure the quality of Similarwebs data and algorithms.
Utilize your deep understanding of Similarwebs data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
Partner with Big Data Engineers to establish an infrastructure to scale solutions.

Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in todays digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more.

In 2021, we went public on the New York Stock Exchange, and we havent stopped growing since!

The DI departments customer-centric and business-oriented nature also means you will be supporting a team of data analysts and consultants who interact directly with customers. Together with them, you will translate the voice of these customers into best-in-class digital insights.

As a data scientist in the DI team, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the-box
requests from customers who want custom digital insights. This role will report to our DI Team Manager in the R&D.

Why is this role so important at Similarweb?

Similarweb is a data-focused company, and our unique AI and machine learning capabilities are the center of our business.

As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions

So, what will you be doing all day?

Your role as part of the R&D department, and as part of the DI team means your daily responsibilities may include:

Working on versatile use cases within a dynamic, fast paced production environment
Strategic thinking and problem solving, with a strong business sense
Analyzing data from various sources, and turning it into usable input
Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
Initiating newly defined tasks from exploration to proof of concept
Owning the finalization of defined tasks (from POC to deployment in production)
Collaborating with data engineers to make sure we reach the desired production results
Owning the ongoing validation process for existing metrics
Collaborating and brainstorming best practices with other teams within the R&D department
Deploying machine-learning models into production for an ongoing use

Why Join Us?

Check Points Threat Prevention Chief Technologist Office is looking for a Senior Data Scientist to join our team.

The CTO consists of highly talented teams and individuals overseeing Data-Science, Security Research, Advanced Development, and Architecture across all Check Points Threat Prevention products and services - Cloud, Mobile, End-Point, and Network.

This is a unique opportunity for you to work in the #1 worldwide Cyber Security Company, and gain expertise and experience harnessing the amazing data collection available for Cyber Security Products.

Key Responsibilities
As a Senior Data Scientist, you will:


Design and develop novel, cutting-edge AI solutions for challenging problems in the cybersecurity domain. These solutions can potentially deliver game-changing results involving advanced AI and algorithms.
Push the solutions all the way to large-scale production systems. Understand the architectural constraints of such systems and work with a cross-organizational engineering and product team to quickly transition from prototype to a scalable robust implementation.
Enjoy the work and knowledge of Cyber Researchers, Analysts, Fellow programmers, and Data-Scientists to develop and deploy machine learning and AI solutions.

Youll enjoy:

A fun environment where work-life balance is valued.
Exploring THE BEST Cyber Security Data source to be found.
Working in a start-up environment within a corporates stability.
Sharing your day with fun, passionate, brilliant people.

Why Join Us?
The Checkpoint XPR (Extended Prevention and Response) team is dedicated to constructing the next-generation XDR SaaS platform. XPR offers a unified interface covering Incident Management, Threat Hunting & Asset Management, as well as product management, Workflow Automation, and Automated Prevention.


The XPR Analytics group is actively seeking a dynamic and skilled Team Lead to join our leadership team in a startup-like environment and contribute to shaping, leading, and delivering our innovative cybersecurity solution.


The Analytics Cloud Platform team is responsible for building a scalable and reliable data analytics solution in the cloud. This solution aims to transform diverse security detection data points into a coherent and concise attack picture and response procedure.

Key Responsibilities
Lead a team of 4-6 proficient software engineers.
Establish, nurture, and sustain a team of software engineers.
Provide team leadership through coaching and mentorship.
Offer technical leadership by guiding solution design and implementation.
Lead the design and implementation of reliable, scalable, and performant analytical data pipelines making use of modern toolsets and managed services.
Work closely with our team of data scientists and analysts, who are responsible for developing algorithms, analytical rules, and machine learning data models. Guide your team in the implementation and deployment of these solutions to our cloud platform.
Work collaboratively with fellow managers and teams to successfully deliver value to our customers.

Why Join Us?
We are looking for a professional and enthusiastic BI Developer to join our team! The BI Developer will be responsible for defining and building our data pipelines and analytics infrastructure. You will work closely with product managers, R&D engineers, and business stakeholders to support new initiatives and proactively improve our data solutions. You will help create and manage data processes for actionable insights and operational needs.

If you are passionate about data modeling and data processing, with excellent visualization and analytical skills, this job is for you.


About Us

Perimeter 81, recently acquired by Check Point, is a networking and network security leader that aims to deliver the premier SASE platform in the market. We are redefining the way businesses connect in the age of cloud and remote work with an innovative approach that combines cloud and on-device protection. We have over 200 employees with offices in New York, Los Angeles and Tel Aviv offering a global and multicultural work environment. Perimeter 81 is growing fast and looking for extraordinary team members to help us support our fast-growing customer base of more than 3,000 customers, including leading businesses of all sizes and industries.

Key Responsibilities
As a BI Developer, you will be responsible for:

Design, build, and maintain end-to-end easy-to-use data solutions. This includes orchestration, data modeling, visualization, monitoring, alerting, experimentation models, etc.
Collaborate effectively with cross-department stakeholders to capture analytical requirements
Develop high-level dashboards
Analyze complex datasets, and provide useful actionable recommendations