Industries Engineering, product and commercial hires
Engineering, product and commercial hires
for companies building AI.
We recruit for companies that build, deploy and sell artificial intelligence: the engineers who take models into production, the product people who turn them into something customers pay for, and the commercial teams who sell it.
What we cover
Three teams, one hiring market.
From seed to scale-up, AI companies compete for the same people at every stage. We hire across the three teams every AI business needs, and the leaders who run them.
- Engineering and research
- Machine learning engineers, applied scientists, and the data and platform engineers who take models to production.
- Product and design
- Product managers and designers for AI products, from first launch to scale.
- Go-to-market
- Enterprise sales, solutions engineering, partnerships and customer success.
- Leadership
- CTOs, heads of AI, and VPs of engineering, product and sales.
Roles we search for
Leadership hires and specialist roles.
Leadership
- CTOs and VPs of engineering
- Heads of AI and machine learning
- VPs of product
- Chief revenue officers and sales directors
Engineering and product
- Machine learning engineers
- Applied scientists
- Data and platform engineers
- MLOps and infrastructure engineers
- Product managers
Commercial
- Enterprise account executives
- Solutions and sales engineers
- Partnerships managers
- Customer success leads
Clients
Who we hire for.
- AI start-ups and scale-ups
- Companies whose product is the model, or is built on one.
- Software companies
- Established software businesses adding AI to their products.
- Consultancies and integrators
- Firms deploying AI for their own clients.
- In-house AI teams
- Companies in other sectors building their first AI function.
How we work
A short, honest process.
i.
Brief and calibrate
Ninety minutes with the hiring lead before the search starts moving, and a push-back wherever the brief has gone stale or the job description is fighting the role.
ii.
Reference-led longlist
Around two weeks of network-driven longlisting. You see the shape of the market before any CV lands in your inbox.
iii.
Shortlist worth interviewing
Three candidates presented together, each with a one-page written read covering track record, role fit and motivation.
iv.
Process and close
Interviews, references, offer and counter-offer handled inside the engagement, with a real conversation at the ninety-day mark.