Nexthink Engineer

Job Description:

INTRODUCTION

At Client, we believe in the talent of our people. It's our passion and commitment to excellence that drives client vast portfolio of brands to succeed. From broadcast and cable networks, news and sports platforms, to film, world-renowned theme parks and a diverse suite of digital properties, we take pride in all that we do and all that we represent. It's what makes us uniquely client. Here you can create the extraordinary. Join us.

ABOUT THE ROLE:

The Enterprise Endpoint Engineering team is seeking a highly skilled IT professional to lead the analysis, configuration, monitoring, and automation of the Nexthink platform. In this critical role, the engineer will help define and implement client roadmap of levering device analytics to redefine, automate and modernize the end user computing device lifecycle. This role will drive improvements in client Digital Employee Experience (DEX) by utilizing Nexthink's proactive insights and automation capabilities to enhance enterprise productivity and implement preventative measures that ensure a seamless and efficient work environment.

This Engineer will incorporate device analytics into engineering strategies that align with the team's 2025/2026 roadmap: proactive monitoring to identify trends, minimize risks, and proactively address potential challenges, and enabling a targeted PC refresh program based on device health.

Expertise in system monitoring, automation, and incident prevention will be instrumental in shaping the future of client DEX strategy, fostering a more intuitive and productive workplace for all employees.

This role is based in New York City (3 days/week in office commitment),

RESPONSIBILITIES:

Design, implement, and maintain Nexthink dashboards, investigations, campaigns, and services focused on device performance and user experience

Leverage Nexthink's digital experience data to develop a device health scoring system and identify candidates for PC refresh based on performance, age, failure trends, and user sentiment.

Drive proactive maintenance initiatives (e.g., software updates, storage cleanup, patching) based on predictive analytics.

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