The setting
makes software for restaurants, from single locations to large chains. Its handle ordering, payments, kitchen work, staff and reporting.
Renewal preparation is pulling CSM attention between recent support friction and the account history that explains it.
A fast rank protects conversation time, while visible evidence protects the judgment required before a CSM contacts a restaurant group.
Who you’d be doing this for
“My CFO asked why we are still reopening the same integration issue, and I had to pull three people into the answer.”
Luisa Georgiou · Regional Operations Director · a character in this brief
Oversees POS and service operations for a multi-location restaurant group entering a renewal period.
What is at stake
Enterprise CSMs are rebuilding account histories across cases, notes, and Slack before renewal calls. You decide whether the ranking in Salesforce tells a CSM which account to open first, or also what the CSM says to the customer.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- stated customer concern vs. inferred risk signals
- case urgency vs. broader account health
- recent support friction vs. weak product usage
- complete record fields vs. wider account coverage
Why Toast
Enterprise restaurant groups run payments, hardware, ordering, and integrations through Toast, so an unresolved account pattern can reach every location in a renewal conversation.
Written with these in mind
Not your kind of problem? 38 more at Toast, or browse every organization.
Where the organization context comes fromThe postings this brief was written from, and the reporting read before it.
The organization context comes from public information. The situation and characters are written for the brief.
Job postings it was written from
Public descriptions of the work at Toast. They are listed as sources, not as openings. The lines under a posting are its own words, where it meets this brief.
- Senior Manager, Customer Care (opens in a new tab)
- Own technical support operations end to end, including capacity planning, workforce management, SLAs, escalation paths and quality programs, so complex technical issues are resolved efficiently and consistently.
- Manager, Customer Care (opens in a new tab)
- Partner with different LOB’s like Kitchen, Payroll Operations, Tax Operations, Product, Engineering, Restaurant Success, and other cross-functional teams to resolve customer issues and improve support processes.
- You will oversee the customer journey for those experiencing Toast issues throughout the care experience, while working with cross-functional Internal teams such as Restaurant Success, Sales, and Onboarding to create process and support guidelines.
- Customer Care Expert - Enterprise (opens in a new tab)
- Share solutions in Slack and keep your own case notes and peer resources current; may act as an informal resource for newer or less experienced teammates.
- The Toast Enterprise Support team delivers advanced, omnichannel technical support to our most complex enterprise clients — corporate restaurant brands, national franchises, and international locations.
- Manager II, Customer Care Tax (opens in a new tab)
- You will work with cross-functional Internal teams such as Tax Operations, Restaurant Success, Sales, Onboarding, Enablement and R&D teams to create process and support guidelines.
- Train and develop members of the team on process, technical troubleshooting, and new product knowledge, monitor and audit workflow efficiency to identify trends and process improvement opportunities
- Manager, Managed Marketing (opens in a new tab)
- You’ll remove friction for Specialists and customers, strengthen our service model, and collaborate closely with Product, Product Strategy, Sales, Customer Success, Legal, and Finance.
- Execute against existing playbooks/templates and flag gaps: evolve playbooks, scripts, and templates for kickoff, monthly planning, multi‑channel execution (Email/SMS/Social/Offers/Ads), and monthly reporting; drive consistency across Specialists while allowing for restaurant brand nuance.
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.
Where similar work appears
Other live briefs connected to this one, and what connects them.
Similar problems at other organizations
Like this one, each of these turns on committing to a deal before it checks out.
CSMs are discovering weak adoption and unresolved issues during renewal conversations.
You must decide where the ranking stops and the CSM starts: which accounts it puts in front of them, and which calls about contact, message and escalation stay with them.
Renewal leads are reconstructing account risk from separate usage, support, and delivery records.
You must decide what AI can rank, what evidence it must show, and where a lead keeps the call.
The same setting, from another role
Each is set around Toast’s Restaurant point-of-sale and management platform, written for a different role. They’re separate briefs, not the same scenario.
Public-storage findings are being reopened because engineers cannot see whether a restaurant-facing service is exposed.
You have to decide where the route stops and the engineer starts when a finding arrives with its Terraform and Datadog context.
Cash transactions can round locally and later disagree with the cloud record.
You must weigh resilient offline service against controls that keep each location's cash rules correct.
Card payments are failing to recover at some locations after a restricted access change.
You must weigh fast restoration against the access exposure that the rollback would preserve.
Other problems with a similar purpose
In each of these, as in this one, the aim is to turn observed user friction into a fast, confident decision that visibly restores a better experience.
Managers export disconnected monitoring and publishing data 2.4 times more often when using both surfaces.
You have to weigh a focused first view against broader reporting expectations.
Search-led product-detail views are stuck at 18% despite rising search volume.
You have to weigh a sharper discovery configuration against the customer engineers’ need to validate it safely.
Predicted high-intent recipients rose 14% while observed opens fell 9% across three sends.
You have to weigh a fast score correction against preserving notification reach and opt-out safety.
