Roles we hire for AI automation
From product to partnerships, we find people who can execute in a fast-moving market.
Common hiring challenges
The market moves fast. You need people who can ship and iterate without waiting for permission.
Job boundaries are unclear. AI automation roles often span product, engineering, and go-to-market.
The bar for execution is high. You need evidence of delivery and sound technical judgment.
Competition for talent is intense. The best AI operators have multiple offers.
Sound familiar?
- !Struggling to define the role clearly
- !Candidates talk AI but haven't shipped
- !Moving too slow while competitors hire
- !Need someone who can own end-to-end
How we help AI companies hire
We clarify the scorecard, then run a focused search for evidence of delivery in real customer workflows.
Clarify the scorecard
We help you define what success looks like when job boundaries are unclear.
Source for evidence
We find candidates who can show what they shipped, who used it, and what changed as a result.
Initial shortlist
You meet three assessed candidates within 10 business days of alignment.
A Product Lead search for a seed-stage AI company
We mapped 38 candidates from relevant AI companies, presented three finalists in 11 days, and the hire helped turn 10 design partners into paid customers in eight weeks. Read the search.
What we evaluate in AI automation candidates
AI companies need people who can turn a customer problem into a working deployment. We screen for evidence of that work.
Production deployment evidence
We ask for automation that ran in real workflows with real users, plus the ownership and outcomes behind it.
Technical depth without coding
The best non-engineering hires in AI companies understand the stack well enough to spec, scope, and prioritize without needing a translator.
Go-to-market for technical products
Selling AI is different. We assess whether candidates can translate technical capability into business value for non-technical buyers.
Speed of learning
AI tools and models change quarterly. We look for candidates who have adapted to at least two major platform shifts in the last 18 months.
Integration thinking
AI products rarely stand alone. We screen for people who understand how automation fits into existing workflows, CRMs, and data pipelines.
Ethical awareness
Responsible AI is a real concern for enterprise buyers. We assess whether candidates can navigate compliance, bias, and transparency.