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Point72

Systems Engineer, Collaboration Technology

Point72 is hiring a Systems Engineer, Collaboration Technology in New York, United States. It pays $185k-$220k a year and Level rates it ; you can apply on Point72.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a senior role.
  • Level lists 205 other open roles at Point72.
  • The role was posted in the last few days.

AI in this role

A Career with Point72's Technology Team

As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.

As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.

WHAT YOU'LL DO

  • Strengthen our firm’s collaboration environment through automation, secure integrations, governance, and reliability improvements that support global productivity
  • Lead data migrations by planning, executing, validating, and reporting on adoption to support team transitions
  • Operate enterprise file storage and collaboration services with a focus on performance, governance, secure access, and continuous improvement
  • Implement controls for site provisioning, sensitivity labels, retention policies, and multi-geo data residency to align collaboration services with business needs
  • Review application registrations and platform API permissions to ensure programmatic access is limited to approved services and use cases
  • Manage licensing assignments and consumption to provide appropriate user access while supporting security and governance requirements
  • Evaluate new service capabilities and help govern which capabilities are enabled or restricted to keep the environment supportable and aligned with policy
  • Manage backup, restore, and eDiscovery workflows using third-party and native platform capabilities to support resilience and disaster-recovery readiness
  • Participate in incident response, on-call rotation, root cause analysis, and change management for collaboration services
  • Automate operational tasks using scripting, platform APIs, and workflow automation tools while partnering with adjacent collaboration engineering teams

WHAT'S REQUIRED

  • Minimum five years of hands-on experience administering collaboration platforms such as Microsoft 365 in an enterprise environment
  • Bachelor’s degree in computer science, information technology, or a related field
  • Strong knowledge of enterprise file storage and collaboration services such as OneDrive for Business and SharePoint Online, including administration, governance, and operational support
  • Working knowledge of chat and email services such as Microsoft Teams and Exchange Online in an enterprise collaboration environment
  • Working knowledge of tenant administration, including licensing, service configuration, and tenant policies
  • Strong knowledge of scripting and platform APIs such as PowerShell and Microsoft Graph API, along with application registrations and programmatic access patterns for scripting and service integration
  • Excellent troubleshooting and problem-solving skills across collaboration platforms, integrations, permissions, and service reliability issues
  • Strong communication and interpersonal skills, with the ability to work effectively across engineering, security, compliance, and business teams
  • Ability to work independently and as part of a team in a fast-paced environment
  • Commitment to the highest ethical standards

WE TAKE CARE OF OUR PEOPLE

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

  • Fully-paid health care benefits
  • Generous parental and family leave policies
  • Volunteer opportunities
  • Support for employee-led affinity groups representing women, people of color and the LGBT+ community
  • Mental and physical wellness programs
  • Tuition assistance
  • A 401(k) savings program with an employer match and more

ABOUT POINT72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com/.

The annual base salary range for this role is $185,000-$220,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

How we rate this

Systems Engineer, Collaboration Technology at Point72 rates 27 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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