AI Skill Report Card
Recruiting Engineering Talent
Engineering Talent Recruiting
Quick Start
Boolean search for senior Python engineers:
(senior OR lead) AND (Python OR Django OR Flask) AND (startup OR "early stage") -recruiter -agency
MATCH framework evaluation:
- Motivation: Why this role/company?
- Aptitude: Problem-solving ability
- Technical depth: Skills match
- Culture fit: Startup environment alignment
- Hunger: Growth mindset and drive
Recommendation▾
Add concrete input/output examples for GitHub evaluation and technical depth assessment beyond just the motivation examples
Workflow
Sourcing Phase:
- Create boolean searches targeting specific tech stacks
- Review GitHub contributions for code quality and activity
- Check LinkedIn for startup experience and career progression
- Build initial candidate list with notes
Screening Process:
- Initial 15-min phone screen using MATCH framework
- Technical depth assessment (can discuss their projects?)
- Motivation and hunger evaluation
- Culture fit for startup environment
- Schedule next steps if positive
Interview Loop Management:
- Prep candidate: what to expect, who they'll meet, technical focus areas
- Coordinate scheduling with hiring team
- Follow up after each round
- Debrief with hiring managers: strengths, concerns, calibration
- Guide candidate decision-making process
Recommendation▾
Include specific templates or frameworks for the 15-minute phone screen structure and debrief formats
Examples
Example 1: Motivation Assessment Question: "What drew you to apply for this role?" Strong answer: "I want to build something from scratch and see direct impact of my work. Your product solves a real problem I've experienced." Weak answer: "Looking for better compensation and title bump."
Example 2: Soft Close Conversation "Based on our conversations, I'm hearing that you value X, Y, and Z. This role offers X and Y strongly, but Z might be limited in year one. How does that sit with you? What would need to change for this to feel like your dream role?"
Recommendation▾
Expand the boolean search examples to cover more tech stacks and include platform-specific search syntax (LinkedIn, GitHub, etc.)
Best Practices
- Lead with curiosity, not selling. Ask what they're optimizing for in their next role
- Prep candidates thoroughly. Share interviewer backgrounds, technical focus areas, and company context
- Calibrate with hiring managers. Understand their "must-haves" vs "nice-to-haves"
- Use GitHub as a signal. Recent commits and project quality matter more than follower count
- Focus on startup alignment. Early-stage requires comfort with ambiguity and wearing multiple hats
Common Pitfalls
- Hard selling before understanding fit. Let candidates self-select out if it's not right
- Skipping technical depth assessment. Even senior engineers vary widely in actual capability
- Under-prepping candidates. Poor interview experience reflects on you and the company
- Ignoring culture fit signals. Technical skills don't overcome fundamental misalignment with startup pace
- Rushing the process. Early-stage hires are critical; better to wait for right person than rush