Selling AI is different from selling SaaS. Buyers are sceptical, deals involve security and legal review, and the product changes every quarter. We find sellers who can handle that.
Start a searchStrong AI sellers often come from developer tools, data infrastructure, security and enterprise SaaS, where technical buyers were the norm. We assess how they sell, not just their quota history, using behavioural assessment and structured scenarios.
We turn the hiring manager's real bar into a behavioural scorecard: what great looks like in the first 90 days, which trade-offs matter, and which signals on a CV are noise.
AI tooling maps the market, including engineers who are not on job boards and people whose titles do not match what they actually build.
Every candidate who is advanced or rejected is reviewed by a person. Shortlists come with written reasoning you can audit, not a black-box score.
Structured interviews and behavioural assessment test judgment, ownership and how someone ships under ambiguity, which is what separates strong AI engineers from strong interviewers.
Look for experience selling to technical buyers, comfort with proof-of-concept and security-heavy deals, and the honesty to set accurate expectations about what AI can do. Quota history matters less than whether their past market resembles yours.
Yes. We have recently run enterprise account executive searches for an agentic AI company, alongside engineering searches.
Yes. We recruit solutions engineers, sales engineers and forward-deployed engineers who can demonstrate AI products on real customer problems.
Tell us the role and where the pipeline is stuck. You'll hear back within one business day with a scope, a timeline, and a fee.
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