Metropolis

Metropolis

Benefits Specialist

Nashville, Tennessee, United States

Sponsorship not specifiedDetected 15 days ago
SparkExcelHRISCustomer SupportCollaboration

About the role

  • The anticipated base pay for this position is $24.00 USD to $26.00 USD hourly.

Responsibilities

  • Support the implementation of new processes and continuous improvement initiatives
  • Ability to maintain confidential and sensitive information in a professional manner
  • The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.
  • Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience.
  • When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate.
  • Our goal is to build an inclusive culture where everyone has a voice and the best idea wins.
  • You will play a key role in building and maintaining this culture as our organization grows.

Requirements

  • Proficiency using Microsoft Suite (e.g, Excel, Word) and Google Workspace (e.g, Gmail, Docs) tools
  • Ability to multitask and prioritize daily, weekly, and monthly tasks
  • Experience leveraging AI tools to transform static workflows into responsive, high-output processes
  • AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting.

Nice to have

  • Familiarity with HRIS systems and reporting systems preferred

Skills

  • Metropolis Technologies is an equal opportunity employer.

Compensation

  • The anticipated base pay for this position is $24.00 USD to $26.00 USD hourly.

Benefits

  • Metropolis is seeking a Benefits Specialist to support day-to-day benefits and leave of absence.
  • This includes employee support on health and welfare benefits enrollment and leave process.
  • This role requires training across benefits and leave functions to ensure accurate administration, thorough documentation, and consistent system alignment.

Company info

  • The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming
  • it's here, and we need builders, innovators, and problem solvers to help us create it.
  • Who you are
  • Metropolis is seeking a Benefits Specialist to support day-to-day benefits and leave of absence. This includes employee support on health and welfare benefits enrollment and leave process. This role requires training across benefits and leave functions to ensure accurate administration, thorough documentation, and consistent system alignment.
  • The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive.
  • We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go.
  • From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical.
  • What we're looking for
  • As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool.
  • If you are hired for the position, your data may become part of your employee records.

Equal opportunity

  • equal opportunity employer.
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This listing is sourced directly from Metropolis's careers page and normalized into a canonical job model.