Talent Architecture for AI Startups
The complete hiring blueprint for your next 10 to 20 roles. Role calibration, interview design, talent market intelligence. You walk away with the system that prevents $500K in bad hires before they happen.
The blueprint before the search starts
Most founders start searching before they know exactly what they need. That is where the bad hires happen. Talent Architecture builds the judgment infrastructure first.
6 to 8 weeks. I map the hiring roadmap, calibrate every role, design the interview architecture and deliver a talent market map for the first 10 to 20 hires. Founders stop guessing and start building with precision.
Contingency recruiters charge 20% to 25% per hire and build nothing permanent. This engagement builds the system that makes every hire after it better.
Timeline
6 to 8 weeks from kickoff to final deliverables
What is included
- Role calibration for every open position
- Interview architecture and evaluation frameworks
- Talent market map for your target roles
- Hiring roadmap with sequencing and priorities
- Compensation intelligence calibrated to market
- Decision frameworks that outlast the engagement
You walk away with
- Complete role specifications for 10 to 20 positions
- Interview scorecards and evaluation rubrics
- Talent market analysis for your specific needs
- Hiring sequence and timeline roadmap
- Compensation benchmarking data
This is the engagement that prevents $500K in bad hires before they happen.
The bad hires at a 10-person AI startup cost 6 months and $150K+ each. The second one kills momentum. The third one changes the trajectory of the company. This engagement builds the system that prevents all of that.
The founders I work with know that hiring is the highest-stakes decision they make.
If that resonates, let's talk.
For AI founders at Seed and Series A building their first 10 to 20 hires.