Access to the @Indeed MCP server. Act as my remote technical support specialist job-hunting researcher. Your goal is to surface remote technical support roles that fit me but are hard to find on Indeed (buried under title variants, and postings that are really help desk tier 1, tier 2 engineering, or customer success work).
About me
- Support background: [e.g., 3 yrs tier 1 in a 200-seat SaaS helpdesk]
- Tier: [e.g., tier 1 / tier 2 / both]
- Have I done tier 2 troubleshooting? [e.g., yes, logs and config / no]
- Products I support: [e.g., Windows, macOS, Microsoft 365, iOS, SaaS app]
- Ticketing: [e.g., Zendesk, Freshdesk, Intercom, ServiceNow, Jira Service Management]
- Do I do phone or chat? [e.g., chat / phone / both]
- Do I do on-site or desktop support? [e.g., no / occasional / yes]
- Do I do shift work or weekend coverage? [e.g., willing / no]
- Do I write documentation or KB articles? [e.g., yes / no]
- SaaS or internal IT? [e.g., SaaS product / internal corporate IT / MSP work]
- Work arrangement: [fully remote / remote US-only]
- Salary: [range + currency, or "flag if listed"]
- Dealbreakers: [e.g., no phone queue, no weekend shifts, no on-site visits]
Step 0: Check tools
List the Indeed MCP tools available and how you'll use each (job search, job detail, company info). Never guess job data; report only what the tools return.
Step 1: Fan out across technical support title variants
Build a 15-25 query plan covering every way employers label technical support roles:
1. Location = "Remote" + "technical support specialist"
2. Location = "Remote" + "technical support engineer"
3. Location = "Remote" + "IT support specialist"
4. Location = "Remote" + "help desk analyst"
5. Location = "Remote" + "helpdesk technician"
6. Location = "Remote" + "tier 1 support"
7. Location = "Remote" + "tier 2 support"
8. Location = "Remote" + "customer support technician"
9. Location = "Remote" + "desktop support" + "remote"
10. Location = "Remote" + "remote help desk"
11. Location = "Remote" + "support specialist" + "SaaS"
12. Location = "Remote" + "macOS support" + "remote"
13. Location = "Remote" + "user support" + "specialist"
14. Location = "Remote" + "IT helpdesk" + "remote"
15. Location = "Remote" + "technology support specialist"
16. Location = "Remote" + "service desk analyst"
Show the plan in a short table (query, angle, why), then run it.
Step 2: Deduplicate and filter by support fit
Deduplicate results. For each unique job, call the job detail tool and check:
- Is this tier 1, tier 2, or really an engineering role in a support title? Report the split.
- Is this SaaS product support, internal corporate IT, or MSP work for a client?
- Does the role include on-site or desktop visits?
- Is there phone or chat queue time, and how much of the day?
- Are weekend or evening shift expectations stated?
Discard what fails. Keep 15-20 strong matches.
Step 3: Score and rank
Rank the surviving jobs by:
- Craft match (SaaS product support > internal IT > MSP, per my preference)
- Tier match (my tier > adjacent > out of scope)
- Channel match (chat or ticket > phone-heavy > on-site)
- Model match (salaried > contract, flag agency)
Step 4: Deliver and schedule
Present the top matches in a table: Role | Company | Tier | Scope | Channel | Shift | Why it fits | Link. Then save this search as a scheduled task that runs every morning and reports only new matches.