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AI SaaS executive search

Retained search for AI SaaS leadership, from product and engineering through data, go-to-market and customer success. Vice president to C‑suite.

Key roles we place ↓

Overview

What we do in AI SaaS

Metric places senior and executive leaders across AI SaaS, covering product, engineering, machine learning and data, and the go-to-market teams selling AI products to businesses. The work spans AI-native software companies and established software businesses building AI into their products. Searches are retained and run from vice president through C-suite.

AI has changed what a software business needs from its leaders. Product and engineering heads now ship features built on models that keep changing, and commercial leaders have to sell, price and support products customers are still learning to trust. The people who have done that at scale are a recent and small group.

Roles

The roles we place in AI SaaS

  • Chief Technology Officer Technical strategy across product and platform.
  • VP Engineering Building and scaling engineering teams.
  • Head of Machine Learning Models, research and ML infrastructure.
  • VP Product Product strategy and roadmap.
  • Chief Revenue Officer Sales, revenue and growth.
  • VP Marketing Positioning and demand for AI products.
  • VP Customer Success Adoption, retention and expansion.
  • Chief Executive Officer Leading the business through growth.

+ many others

Within this sector

What AI SaaS covers

Product & Engineering

Building and shipping AI-powered software.

Machine Learning & Data

Models, data platforms and the teams that run them.

Go-to-Market

Sales, marketing and pricing for AI products.

Customer Success

Adoption, retention and value for business customers.

Market

Hiring in AI SaaS right now

AI SaaS companies are hiring for skills that did not exist a few years ago, and the market moves fast enough that experience goes stale quickly. Leaders who have built and sold AI products to businesses are in high demand, and many are founders or early employees with equity that makes them hard to move. Searches often widen to strong software leaders who have led a product through a major technology shift before, because that judgment transfers even when the technology does not.

Common questions

AI SaaS hiring questions

The questions clients ask most often before briefing an AI SaaS search.

How long does an AI SaaS leadership search take?
We work to seven days to a shortlist on most briefs. How long the search takes after that depends on the role and on notice periods, so we set out a realistic timeline with you at the start.

Do you work retained or contingent?
Retained. That is what lets our consultants map the market fully and approach people who are not looking, rather than working only from whoever has applied.

Do you place below vice president?
Most briefs sit at vice president and above. We also run director searches where the role is critical to the product, such as a head of machine learning or a first product lead.

Do candidates need AI experience?
For machine learning and product roles, usually yes. For commercial, operations and finance leadership, strong software leaders who have taken a product through a major shift often adapt quickly.

Let's build together

Ready to brief us on an AI SaaS search?

Tell us about the role and we'll give you a clear read on the market, the people worth speaking to and how quickly we can move.