Grubhub Holdings Inc.

Grubhub Holdings Inc.

Senior Care Specialist

Remote - Nevada Tier 2, USA · Senior

Sponsorship not specified$22k-$31kDetected 158 days ago
Account ManagementLogisticsCustomer SupportCommunicationProblem Solving

Stay score

odds of building a lasting career here

39Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level I)39
Fits your clock70

Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 6 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 33%

Of 6 labor certifications old enough to have been used, 4 expired without the employer filing the next step. Median time from filing to decision: 491 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • There's a time and place for every type of dish, from hidden neighborhood gems to tried-and-true favorites, and we exist to connect people with the food they love in all the ways they like to dig in.
  • Join our team, based out of New York City, Chicago and Denver, and help us give our diners the exceptional value they deserve.
  • About the Opportunity The Internal Large Order Team (iLOT) is a specialized operations team responsible for managing high-value, high-touch orders end to end.

Requirements

  • Process driven approach with proven problem solving ability
  • Ability to work independently while collaborating across teams
  • 2+ years of experience in operations, customer support, logistics, account management, or technical support
  • Ability to adapt quickly to real-time operational demands and changing priorities

Compensation

  • Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located.

Benefits

  • We offer a competitive salary package including equity and 401K.
  • Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.
  • At Wonder, we build the best teams by hiring with an objective lens - evaluating people for their potential while championing diversity, equity, and inclusion.

Company info

  • About Grubhub At Grubhub, we believe food is more than just a meal: It's a source of discovery, connection, and pure enjoyment.
  • We've been at it since 2004, but now, as part of Wonder, Grubhub is operating with a renewed sense of momentum and the high-velocity energy of a powerhouse startup.
  • We are constantly finding new ways to innovate-from integrated grocery delivery with groceries powered by Instacart to exclusive loyalty programs.
  • As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility.

Equal opportunity

  • If you need an accommodation during the interview process, please let your recruiter know.

This listing is sourced directly from Grubhub Holdings Inc.'s careers page and normalized into a canonical job model.