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Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview
Come join the Intuit Security Team as a Manager in Security Engineering.

#hybrid

Responsibilities
Build high-performing teams by putting the right people in the right job at the right time
Create a culture of collaboration, fun and solution mindset where teams feel empowered to learn, test and iterate.
In this role you will help bring out the best ideas from the best security engineers working with security big data, generative AI and machine learning to build predictive models of adversary behavior by empowering them and leading by example.
Your team will develop and enhance adversary models to support Intuits Threat Intelligence capability and enhance our ability to offer services relying on adversary classification and prediction.
You will help create and evangelize a shared vision and build and maintain strong cross-functional relationships with partners across security and business segment organizations.

Why Join Us?
Join our dynamic Early Availability group as a Network Security Engineer, where you'll be at the forefront of shaping Check Point's future portfolio products. This pivotal role involves close collaboration with customers, development teams, QA engineers, and managers across various levels, contributing significantly to the ongoing enhancement of Check Point products.

Key Responsibilities
We are looking for a Network Engineer, who is motivated, self-managed, team player with good interpersonal skills to be responsible for:

Engaging with customers worldwide to understand and address their technical requirements.
Deploying the company's cutting-edge Beta software and hardware on customers' sites, ensuring a seamless experience prior to market release.
Collaborating directly with development teams, QA engineers, and managers at all levels.
Conducting comprehensive testing, debugging, and documentation of beta deployments in simulated customer environments and during on-site activities.
Providing effective technical support to beta testing customers.

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.

SciPlay, is a global leader focused in providing an ever-expanding portfolio of robust iGaming and Social Casino solutions to the global gaming industry. To put it simply - we make Mobile and Facebook games that are fun to play, fun to make, and we're growing like crazy! SciPlay's reach is made possible by the expertise of our rock star teams and game makers. Want to be part of a fast-paced company that lands in the Top 1% of Social Casino games? See more details below!

Position Summary

We're looking for a BI Developer to join our global team and work on our massive data processing pipeline and help us deliver insights.
If you have a passion for data, you embrace an agile, success-driven culture, are an excellent communicator, we would love to talk soon.

Responsibilities

Pull data from various data sources and integrate into the ETL process
Optimize workloads to reduce cost and improve performance
Develop monitoring over BI infrastructure
Translate business requirements to technical specifications
Work closely with Product analysts, Marketing, Data Scientists and Finance to deliver insights
Design and own our DWH
Work with a variety of databases (Redshift, Snowflake, Databricks, MySQL)
Monitor the integrity and validity of the data
Design and develop data visualizations (Tableau)
Maintain our Platforms (Snowflake, Tableau etc.)

Why Join Us?
Develop and maintain a new SaaS security solution to detect malicious activities in real time.
Help organizations secure their SaaS ecosystem by connecting to all major SaaS applications.
Create new integrations with SaaS services (Google workspace, GitHub, Microsoft, slack etc.) by using multiple different methods, such as API, scraping etc.
Build a large-scale backend system that extracts, monitors, and notifies on security issues.


Key Responsibilities
Develop and maintain a new SaaS security solution to detect malicious activities in real time.
Help organizations secure their SaaS ecosystem by connecting to all major SaaS applications.
Create new integrations with SaaS services (Google workspace, GitHub, Microsoft, slack etc.) by using multiple different methods, such as API, scraping etc.
Build a large-scale backend system that extracts, monitors, and notifies on security issues.

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview
Come join the Intuit team as a Staff Machine Learning Engineer.

Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all Intuit products.

You will utilize your skills to help develop and maintain machine learning models, using both analytical algorithms and deep learning approaches, that will be leveraged by critical backend systems of Intuits Data Acquisition Platform.

In this role, you will:

Lead and apply best practices in ML Project lifecycle management: scoping, data preparation, deployment, and monitoring
Collaborate with multiple teams at Intuit and contribute to components in different business units. We love engineers who lead the change, communicate with customers, and deliver the most beautiful and intuitive applications
Be expected to help architect, integrate, optimize, deploy, and code data pipelines and ML models at scale using the latest industry tools and techniques
#LI-Hybrid
Responsibilities
Design and build systems, which improve machine learning scalability, usability, and performance
Own end-to-end model development lifecycle, including defining problems, featurization in distributed process systems, model exploration, and development, deployment, and model performance monitoring
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits.
Roughly 50% hands-on coding