Toast
Onboarding Consultant II, Retail
Remote, US · Mid
Sponsorship not specified$75k-$120kDetected 1 day ago
Project ManagementSalesforceExcelCompensationCommunicationCollaboration
> stay_score
odds of building a lasting career here
50Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- To thrive as an Onboarding Consultant at Toast, you are flexible, motivated by aggressive growth goals, and excel in ambiguous environments!
- Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters' changing needs.
- The base salary range for this role is listed below.
Responsibilities
- Create best practices for managing daily business operations by enabling business owners and staff to utilize Toast - this includes management of labor and inventory and guest relationships.
- Manage several onboarding engagements simultaneously, including large books of onboarding business (45+retail business') in your region.
Requirements
- 4+ years of experience in a role responsible for customer satisfaction and business operations (e.g. a retail store manager)
- Strong understanding of POS systems, integrations, and retail operation workflows (a plus for candidates from hospitality or retail SaaS).
Compensation
- The base salary range for this role is listed below.
Company info
- As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process.
Equal opportunity
- If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
This listing is sourced directly from Toast's careers page and normalized into a canonical job model.