Neural Networking recruits founding teams
From stealth and pre-seed startups to established tech-first businesses building at the frontier.
The market
Today's teams are measured on ARR and scale of users,
not headcount.
Every hire shifts the trajectory.
EST. 2016 · UK / US / EU · AI/ML SEARCH
The work
Who we recruit
- 01
Founding Engineer
- 02
Member of Technical Staff
- 03
AI Engineer
- 04
ML Research Engineer
- 05
LeadershipCAIO, CTO, Head of Engineering, and more
How a search runs
- 01
We meet you
A conversation before any sourcing.
01A call to understand what you're hiring for, the team and what's actually non-negotiable, before any sourcing starts.
- 02
Detailed technical brief
What you need, written down precisely.
02Together we write the brief: stack, seniority, scope, salary range and how candidates will be assessed.
- 03
Candidate calibration
Early profiles to test the brief.
03You review a small set of early profiles, so the search is corrected before the shortlist is built.
- 04
Shortlist and interviews
A short list, pre-screened.
04A pre-screened shortlist, interviews scheduled and coordinated, and structured feedback after every stage.
- 05
Offer and close
From offer to start date.
05Offer negotiated, references completed and a start date agreed, staying in contact through notice and onboarding.
In an industry so nascent, understanding the value of someone's experience is a challenge that requires expert knowledge. A deep understanding of how today's cutting edge has evolved from the past, plus AI-native recruitment practices, means moving quickly without compromise.
Whichever side of the table you're on, let's talk
No pressure, no spam — just a candid conversation about your team or your career in AI.