Luis Calderon · VP/Director PM · $200-280K+ Target
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Goal: Get fractional income flowing ($15-25K/month) while building full-time pipeline
Action: 4 fractional applications + 50 Ross alumni messages + LinkedIn update
Expected Outcome: 10-15 responses, 3-5 calls, 1-2 fractional interviews by Friday
No follow-ups due today. Add contacts to get started!
Why Fast: Companies hire fractional PMs in 1-2 weeks.
Why Fast: Warm intro → skip HR → hiring manager
Why Faster: PE firms pressure portfolio cos to hire fast
Hands-on product leader, AI expertise, $900M P&L. Use LinkedIn buttons to copy!
Exact text for About, Headline, Experience sections. Copy-paste ready!
Why you're top 1%: Pre-ChatGPT ML + modern LLMs. Use in interviews!
Use this for LinkedIn DMs:
Hey [Name], Luis Calderon - Ross '11. Led $900M TurboTax, now exploring next move. Saw you're at [Company]. Quick question - are you hiring product leaders who can ship AI products hands-on? Just cut costs 40% with AI chatbots at my current company. 15 min call to hear what you're building? Go Blue, Luis 703.786.7899
Email: luis@calderon.com
Phone: 703.786.7899
LinkedIn: linkedin.com/in/luiscalderonmba
Location: San Diego, CA (open to remote, willing to travel LA/SF)
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Goal: Find fresh ( < 24h) Director/VP roles in PLG/AI before they hit the LinkedIn black hole.
Process: Scrape Career Pages → AI Filter (Fit Score) → Apply Immediately.
Paste the scan results above into Claude with this prompt:
System/Role: Expert Executive Recruiter for Senior Product Leader (Director/VP).
Candidate Profile:
- 15+ years (Intuit, Ancestry, eBay).
- CPO of $3M e-commerce business.
- Skills: PLG, Data-Driven, AI/ML Product Strategy.
Task: Analyze job descriptions. Output "Fit Score" (0-100) table.
Scoring Criteria:
+20: Seniority (Director, VP, Head of)
+20: Domain (PLG, Consumer, AI/ML)
+20: Keywords ("Data-driven", "Growth", "LLM")
+20: Culture ("Hands-on", "Impact")
-50: IC-level or non-product
Output Table:
| Company & Role | Fit Score | Why Apply | Key Keywords | Action |
Define your ideal role and use AI to evaluate opportunities from target companies.
This prompt defines your "Fit Criteria". It's used by the AI to score and summarize discovered jobs.
Manually evaluated jobs via career-ops CLI • AI-scored A–F rubric • Distinct from ApplyPilot auto-scoring
ApplyPilot V2.1 auto-scored leads requiring human review. Score ≥ 8, hil_pending or hil_submitted.
1700 jobs auto-scored by ApplyPilot V2.1 • Source: ApplyPilot (automated) • Outreach comes from career-ops (manual)