City of Las Vegas
Government
Company overview
The City of Las Vegas is a municipal corporation and the largest city in the state of Nevada, United States. With a population of over 600,000 and covering an area of 135.8 square miles, the city is a major commercial and cultural center in the southwest region of the country. Famous for its vibrant nightlife, iconic landmarks such as the Las Vegas Strip and Fremont Street Experience, and an abundance of world-class entertainment venues, the City of Las Vegas is a leading tourism destination attracting millions of visitors each year. It also houses several corporations and businesses, including healthcare, aerospace and defense, and technology sectors. The city is well-known for its bustling economy and a wide range of job opportunities.
Available Jobs at City of Las Vegas
Top C-suite Members of Company
Connect with key decision-makers at City of Las Vegas. View the C-suite executives and leadership team.
Leadership information is not available.
Employees Contact
Connect with company employees using the separately sourced, masked contact dataset.
Email formats
Discover the professional email patterns used at City of Las Vegas.
| Email format | Example | Percentage |
|---|---|---|
| Email formats for City of Las Vegas are not available. | ||
Email verification tool
Find and verify professional email addresses for City of Las Vegas.
Technology stack
City of Las Vegas uses Hotjar to analyze user behavior on their website with heatmaps, session recordings, and surveys, enabling data-driven UX optimization and increased conversions.
City of Las Vegas uses Google Analytics to measure website traffic and user engagement, generating actionable insights for optimizing online performance and marketing campaigns.
City of Las Vegas uses HSTS to enhance their digital capabilities and improve operational efficiency.
City of Las Vegas uses Font Awesome to integrate scalable vector icons into its web applications, enhancing user interface design and ensuring visual consistency across all devices.
City of Las Vegas uses Amazon S3 to store and retrieve any amount of data with industry-leading durability, availability, security, and scalability, enabling cost-effective data management for various applications.
City of Las Vegas uses HubSpot to unify its marketing, sales, and customer service efforts, leveraging an integrated CRM platform for enhanced customer experience and streamlined business growth.
City of Las Vegas uses Google Tag Manager to efficiently deploy and manage website tracking tags, marketing pixels, and analytics scripts without direct code modifications, centralizing data collection and accelerating marketing and analytics initiatives.
City of Las Vegas uses HubSpot Chat to enhance their digital capabilities and improve operational efficiency.
City of Las Vegas uses jQuery UI to enhance web applications with a robust set of ready-to-use, customizable UI widgets and interactions, simplifying development and improving user experience.
City of Las Vegas uses jQuery Migrate to ensure backward compatibility and smooth upgrades to newer jQuery versions by restoring deprecated features and behaviors, preventing existing scripts from breaking and aiding in code modernization.
City of Las Vegas uses jQuery to simplify client-side scripting, enabling faster and more efficient manipulation of the HTML DOM, event handling, animation, and AJAX interactions across various web browsers.
City of Las Vegas uses core-js to enhance their digital capabilities and improve operational efficiency.
City of Las Vegas uses AngularJS to enhance their digital capabilities and improve operational efficiency.
City of Las Vegas uses Amazon Web Services to enhance their digital capabilities and improve operational efficiency.
City of Las Vegas uses Microsoft ASP.NET to enhance their digital capabilities and improve operational efficiency.
City of Las Vegas uses DNN to process and learn intricate patterns from large, complex datasets, enabling high-accuracy predictions and advanced AI capabilities in areas like image recognition, natural language processing, and data analysis.