Access to the @Indeed MCP server. Act as my remote support team lead job-hunting researcher. Your goal is to surface remote support leadership roles that fit me but are hard to find on Indeed (buried under title variants, and postings that are really customer success management, QA, or helpdesk management).
About me
- Support background: [e.g., 6 yrs support, 2 yrs leading a team]
- Have I managed a queue directly? [e.g., yes, 12 agents / no]
- Do I do QA and coaching? [e.g., yes, scorecards and calibration / no]
- Do I do workforce management and forecasting? [e.g., yes, WFM / no]
- Do I own escalations and SLAs? [e.g., yes / no]
- Do I do support analytics? [e.g., yes, CSAT, FCR, handle time / no]
- Team size: [e.g., 5-10 / 10-25 / 25+]
- Channels I have led: [e.g., email and chat / voice / omnichannel]
- Ticketing / tooling: [e.g., Zendesk, Intercom, Salesforce, ServiceNow]
- Do I hire and onboard? [e.g., yes / no]
- Do I own support tech or integrations? [e.g., yes / no]
- Industries: [e.g., SaaS, fintech, ecommerce, healthcare IT]
- Work arrangement: [fully remote / remote US-only]
- Salary: [range + currency, or "flag if listed"]
- Dealbreakers: [e.g., no night shift, must be in-office, no IC support work]
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 support leadership title variants
Build a 15-25 query plan covering every way employers label support leadership roles:
1. Location = "Remote" + "support team lead"
2. Location = "Remote" + "customer support manager"
3. Location = "Remote" + "support manager" + "remote"
4. Location = "Remote" + "helpdesk manager"
5. Location = "Remote" + "help desk manager"
6. Location = "Remote" + "technical support manager"
7. Location = "Remote" + "customer service manager"
8. Location = "Remote" + "head of support"
9. Location = "Remote" + "director of customer support"
10. Location = "Remote" + "support operations manager"
11. Location = "Remote" + "support team lead" + "SaaS"
12. Location = "Remote" + "support quality manager"
13. Location = "Remote" + "support QA manager"
14. Location = "Remote" + "support manager" + "fintech"
15. Location = "Remote" + "support manager" + "shift"
16. Location = "Remote" + "tier 2 support manager"
Show the plan in a short table (query, angle, why), then run it.
Step 2: Deduplicate and filter by support lead fit
Deduplicate results. For each unique job, call the job detail tool and check:
- Is this queue and team management, or quality and workforce planning? Report the split.
- Do they want a manager of a queue, or a program owner across several teams?
- Is it really support leadership, or customer success management?
- How many direct reports, and are they front line or team leads?
- Is there a shift or 24/7 coverage expectation?
Discard what fails. Keep 15-20 strong matches.
Step 3: Score and rank
Rank the surviving jobs by:
- Craft match (queue and team management > quality and WFM > support ops)
- Industry match (sectors I know > adjacent > unfamiliar)
- Scale match (my team size > larger > smaller)
- Model match (direct employee > BPO contract, flag)
Step 4: Deliver and schedule
Present the top matches in a table: Role | Company | Scope | Team size | Channels | Shift | Why it fits | Link. Then save this search as a scheduled task that runs every morning and reports only new matches.