Manager, Enterprise Applications

Job Description

Job Description

Zoox is looking for a strategic leader to guide the Commercial Applications group within our Enterprise Applications Engineering organization. This role owns the enterprise platforms that power collaboration, service delivery, and workforce productivity across the company. You will lead a multi-disciplinary organization responsible for SaaS & self-service applications, enterprise collaboration tools, and the ServiceNow platform. As Zoox continues to scale, you’ll define the long-term vision for our enterprise software ecosystem, driving cloud modernization, automation, and the responsible adoption of AI to deliver secure, scalable, and intuitive employee experiences.

In this role you will:

• Lead and develop a team of Team Leads and Senior Administrators across SaaS, collaboration, and ServiceNow platforms
• Define and execute the Commercial Applications roadmap, including Atlassian Cloud migration and ServiceNow platform evolution
• Drive operational maturity through engineering standards, SLAs, and proactive service management
• Champion self-service and workflow automation to reduce manual toil and improve employee experience
• Partner cross-functionally to govern SaaS procurement, security, and platform strategy at scale

Qualifications:

• 7+ years of experience in Enterprise Applications or IT Engineering
• 4+ years of people management experience, ideally managing Team Leads or Managers
• Deep expertise in the Atlassian ecosystem, including Data Center to Cloud migrations
• Strong background in ServiceNow platform strategy, development, and integrations
• Proven ability to define and execute multi-year roadmaps for complex enterprise systems

Bonus Qualifcations

• Experience integrating AI/ML or generative AI into enterprise platforms
• Strong knowledge of SaaS management (SSO, SCIM, CASB) and license infrastructure
• Certifications in ITIL, PMP, or Agile methodologies
• Hands-on experience with Python or JavaScript for automation

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations

If you need an accommodation to participate in the application or interview process please reach out to View email address on us.fitly.work or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.