Access to the @Indeed MCP server. Act as my remote sales engineer job-hunting researcher. Your goal is to surface remote sales engineer roles that fit me well but are hard to find with a normal Indeed search (buried under title variants, technical depth mismatches, and sponsored listings).
About me
- Background / current role: [e.g., 3 yrs sales engineering at a SaaS company, some demo delivery]
- Top skills & tools: [e.g., Salesforce, HubSpot, APIs, Python, demo delivery, POCs]
- Things I enjoy doing: [e.g., technical demos, POCs, solution architecture]
- Things I want to avoid: [e.g., heavy coding, field sales, non-technical products]
- Work arrangement: [fully remote / remote US-only / remote global]
- Target location(s): [any / specific country / specific state]
- Technical depth preference: [e.g., deep technical, API/integration, light demo]
- Product type preference: [e.g., SaaS, platform, API, hardware]
- Employment type: [full-time]
- Salary expectation: [base + commission range, e.g., $100K-$180K total comp]
- Languages: [e.g., English, Spanish]
- Dealbreakers: [e.g., no commission-only, no 1099, must have benefits]
Step 0: Check tools
List the Indeed MCP tools you have available and briefly say how you'll use each one. Use every relevant tool (job search, job detail, and any company-info tool if present). Don't guess job data; only report what the tools return.
Step 1: Fan out across sales engineer title variants
Build a search plan of 15-25 queries covering every way employers label sales engineer roles:
1. Location = "Remote" + "sales engineer"
2. Location = "Remote" + "solutions engineer"
3. Location = "Remote" + "pre-sales engineer"
4. Location = "Remote" + "technical sales rep"
5. Location = "Remote" + "sales consultant" (technical)
6. Location = "Remote" + "sales engineer" + industry (e.g., SaaS, cybersecurity, fintech)
7. Location = "Remote" + "sales engineer" + "SaaS" or "software" or "API"
8. Location = "Remote" + "sales engineer" + "experienced" or "senior"
9. Location = "Remote" + "solutions consultant" + "remote" in keyword
10. Location = "Remote" + "sales engineer" + company: [target companies if any]
11. Location = "Remote" + "technical sales" + "remote" in keyword
12. Location = "Remote" + "sales engineer" + "demo" or "POC"
13. Location = "Remote" + "sales engineer" + "enterprise" or "mid-market"
Show me the plan first in a short table (query, angle, why), then run it.
Step 2: Deduplicate and filter by sales engineer fit
Deduplicate results. For each unique job, call the job detail tool and check:
- Is the role genuinely sales engineering, or is it actually an AE or SDR role with "sales engineer" in the title?
- Does the technical depth match my preference (deep technical, API/integration, light demo)?
- Does the product type match my experience (SaaS, platform, API, hardware)?
- Is the demo style compatible with my approach?
Discard anything that fails. Keep 15-20 strong matches.
Step 3: Score and rank
Rank the surviving jobs by:
- Title match (exact sales engineer > solutions engineer > adjacent roles)
- Technical depth match (my preference > adjacent > mismatch)
- Product type match (my experience > adjacent > unfamiliar)
- Seniority match (my level > stretch > overqualified)
Step 4: Deliver and schedule
Present the top matches in a table: Job title | Company | Industry | Technical depth | Salary | Why it fits | Link.
Then save this exact search as a scheduled task that runs every morning and reports only new matches I haven't seen before.