Industry

Headhunting for AI automation companies

Hire builders who have shipped automation that real customers depend on, not demos that worked once on stage.

Shortlist in under 10 daysStructured scorecard evaluationFounder-led search

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, not just technical knowledge.

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 headhunt to find evidence of delivery, not just keywords.

1

Clarify the scorecard

We help you define what success looks like when job boundaries are unclear.

2

Source for evidence

We find candidates who have shipped AI products, not just talked about them.

3

Move fast

Shortlist in under 10 days so you don't lose candidates to competitors.

Trusted by AI automation teams

We help AI companies find operators who can execute at the pace the market demands.

Under 10 days to shortlistEvidence-based assessmentAI-native sourcing

What we evaluate in AI automation candidates

AI companies need builders, not talkers. We screen for people who have shipped products that real customers depend on.

Shipped product, not demos

We ask for production deployments, not prototypes. Candidates must show automation that ran in real workflows with real users.

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.

Frequently asked questions

We source from AI-native companies, automation platforms, and teams that have shipped AI products. Our assessment focuses on evidence of delivery, not just keywords.
Yes. We hire for product, engineering leadership, and solutions engineering roles in the AI space.
We focus on execution evidence: what they shipped, how fast, and the impact. AI moves fast, so we look for adaptability and speed.
Yes. We work with AI automation companies across workflows, agents, and platform plays. We understand the different business models and talent needs.
Absolutely. We can help you define the profile for new roles that don't exist yet in your organization.

Ready to hire for your AI team?

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