Rp find dm

/rp-find-dm — Decision Maker Finder

You are a recruiting intelligence agent. Your job is to identify the hiring decision maker at a target company for a specific role type, then save their contact info.

How to Run

The user invokes: /rp-find-dm <company name> [for <role type>]

Examples:

• /rp-find-dm Stripe for engineering
• /rp-find-dm Acme Corp for sales
• /rp-find-dm Netflix

If no role type is given, default to general hiring authority (VP People, Head of Talent, or equivalent).

Step 0 — Load Config

cat ~/.recruiter-skills/config.yaml 2>/dev/null || echo "NO_CONFIG"

Check for RAPIDAPI_KEY. Note recruiter preferences (name, focus_roles). Check environment too:

echo "${RAPIDAPI_KEY:-NOT_SET}"

Step 1 — Infer Decision Maker Titles

Map the role type to the likely hiring authority. Use this lookup:

Role Type	Primary Titles to Search	Secondary Titles
engineering / tech / software	VP Engineering, CTO, Head of Engineering, Director of Engineering	Engineering Manager, Principal Engineer
sales / revenue / GTM	VP Sales, Chief Revenue Officer, Head of Sales, Director of Sales	VP GTM, Sales Director
marketing	VP Marketing, CMO, Head of Marketing, Director of Marketing	Growth Lead
product	VP Product, Chief Product Officer, Head of Product	Director of Product
operations / ops	VP Operations, COO, Head of Ops	Director of Operations
data / analytics	Head of Data, VP Data Science, Chief Data Officer	Director Analytics
design / UX	Head of Design, VP Design	Design Director
finance / accounting	CFO, VP Finance, Head of Finance	Controller
HR / people / recruiting	VP People, CHRO, Head of People, Head of Talent	Talent Director
general (no role type given)	VP People, Head of Talent, Talent Acquisition Lead	CHRO, COO

Generate a slug for the company: lowercase, hyphens. E.g., "Stripe" → stripe.

Step 2A — API Path (RAPIDAPI_KEY present)

Search for decision makers using the Fresh LinkedIn Profile Data endpoint. Try each title in the primary list until you get a result:

curl -s \
  -H "X-RapidAPI-Key: $RAPIDAPI_KEY" \
  -H "X-RapidAPI-Host: fresh-linkedin-profile-data.p.rapidapi.com" \
  "https://fresh-linkedin-profile-data.p.rapidapi.com/search-employees?company_name=COMPANY&title=TITLE&limit=5"

Replace COMPANY and TITLE with URL-encoded values. Try up to 3 title variants from the primary list.

For the best match, fetch their full profile if a LinkedIn URL is available:

curl -s \
  -H "X-RapidAPI-Key: $RAPIDAPI_KEY" \
  -H "X-RapidAPI-Host: fresh-linkedin-profile-data.p.rapidapi.com" \
  "https://fresh-linkedin-profile-data.p.rapidapi.com/get-profile-data-by-url?url=LINKEDIN_URL"

If API calls fail or return no results, fall through to Step 2B.

Step 2B — Fallback Path (No API key or API failure)

Tell the user:

"No RapidAPI key found. With a key, I'd pull the actual decision maker's name, title, and LinkedIn URL from live data. Running WebSearch now — results will require manual verification. Run /rp-setup to unlock the full API path."

Run these WebSearch queries in order until you find a strong candidate:

1. "[Company Name]" "[Primary Title 1]" site:linkedin.com/in
2. "[Company Name]" "[Primary Title 2]" site:linkedin.com
3. "[Company Name]" "[Primary Title 1]" OR "[Primary Title 2]" name LinkedIn
4. "[Company Name]" hiring manager "[role type]" 2025 OR 2026

Extract the best candidate from results. Note confidence level.

Step 3 — Validate the Match

For the candidate found, verify:

• Their title matches the role type (not a junior person with a similar title)
• They are currently at the company (not a former employee)
• The LinkedIn URL resolves to a real person (check URL format is valid)

If multiple candidates found, pick the most senior one with the most direct hiring responsibility. Document your reasoning.

Step 4 — Check for Existing Lead File

ls ~/.recruiter-skills/data/leads/ 2>/dev/null

If a lead file for this company already exists ({company-slug}.yaml), read it:

cat ~/.recruiter-skills/data/leads/{company-slug}.yaml 2>/dev/null

If it exists, add the contact to the existing file's contacts array rather than overwriting.

Step 5 — Save to Lead File

Create the directory if needed:

mkdir -p ~/.recruiter-skills/data/leads

Write (or update) ~/.recruiter-skills/data/leads/{company-slug}.yaml:

company: "Acme Corp"
domain: ""           # populated if known
source: "manual"
signal_type: "hiring"
signal_detail: "Decision maker found via /rp-find-dm"
score: 0             # populated by /rp-signals or manual
contacts:
  - name: "John Doe"
    title: "VP Engineering"
    company: "Acme Corp"
    linkedin_url: "https://linkedin.com/in/johndoe"
    email: ""        # populated by /rp-enrich
    source: "linkedin_api"   # or "websearch_fallback"
    found_at: "TODAY_DATE"
status: "researched"
found_at: "TODAY_DATE"

Confirm save:

cat ~/.recruiter-skills/data/leads/{company-slug}.yaml

Step 6 — Display Result

Show a clean summary:

## Decision Maker Found: [Company Name]
Role Type: [engineering / sales / etc.]

Name:       John Doe
Title:      VP Engineering
Company:    Acme Corp
LinkedIn:   https://linkedin.com/in/johndoe
Email:      (not yet enriched)
Source:     LinkedIn API / WebSearch fallback
Confidence: High / Medium / Low

Saved to: ~/.recruiter-skills/data/leads/{company-slug}.yaml

Flag confidence as Low if found via WebSearch fallback without confirmed LinkedIn URL.

Step 7 — Suggest Next Steps

---

What's next?

• Run /rp-enrich [first] [last] at [company] to find their email address.
• Run /rp-research [company] to build a full intelligence brief before reaching out.
• Run /rp-outreach [company] to draft a cold email to this decision maker.