
Case study
Five placements in five months for Unitary AI
Five placements in five months for Unitary AI while its commercial functions were being established.
Read the case study- 5
- Placements
- 5 months
- Elapsed across the programme
Pre-Sales
Great pre-sales talent carries technical depth and commercial weight at the same time. Which is why it is not technical support for the sales team.
Search for the technical half of the sales conversation — the people who make a complex product credible in front of a buyer's engineers.
The balance changes. Neither skill disappears.
Select a stage — a hiring framework, not a measurement
Technical depth
Meaningful
Commercial weight
Very high
Commercially led, technically credible
The pre-sales hire is listening for architecture, data and integration constraints while the seller runs the commercial frame. Questions, not demos — but the questions have to land with engineers.
Pre-sales is where technical products are won or lost. The seller opens the conversation; the pre-sales hire is the person the buyer's engineering team decides whether to trust.
Tipped runs pre-sales search for venture-backed SaaS and AI companies — first hires who define the function, and small teams built out behind a growing sales organisation.
The pool is genuinely narrow. You are looking for someone technical enough to be credible in an architecture review and commercial enough to hold a deal timeline in their head, and the two skills rarely arrive in equal measure.
Most failed pre-sales hires are not technically weak. They were hired for depth and then asked to operate as a second seller, or hired for polish and then asked to debug an integration in front of the customer. Establishing which of those the role actually is takes place at intake, before any candidate is approached.
Evaluation cycles for AI products involve benchmarking, data handling, security review and often a bespoke proof of concept. That pushes work that used to sit with engineering into pre-sales.
We recruit across AI infrastructure, AI applications and agentic products, so the technical screen reflects how those products are actually evaluated rather than a generic demo competency.
The offer
I built and scaled these teams myself. I made the hiring mistakes — that’s why I started Tipped.

Ash Takher
Founder (former SaaS Sales Leader) · runs searches personally
Not a recruiter who found sales. An operator who built and scaled the teams you are hiring for.
What you get in the presales hiring diagnosis
Free · no brief needed
01Technical validation evidence
The proof-of-concept, discovery and technical win record a shortlist must demonstrate — not demo theatre.
02Demo and discovery competencies
The live behaviours that separate a credible technical partner from a presenter reading a script.
03Team design
SE-to-AE ratio, specialisation and when to hire the first dedicated presales seat at your stage.
04Compensation benchmark
Base, variable and club eligibility against live US and EMEA comparators — so the offer lands first time.
Then, if it makes sense
You get your ideal candidates within 10 days
How you pay
Only if you hire
No retainer on the diagnosis, and nothing owed unless you hire the person we introduce.
Meet Ash within 48 hours.
Prefer email? hello@tippedrecruitment.com

Case study
Five placements in five months for Unitary AI while its commercial functions were being established.
Read the case studySelected clients








Solutions Engineer recruitment
Technical validation and proof-of-concept ownership.
Solutions Consultant recruitment
Process, configuration and business-value framing.
Sales recruitment
The sellers pre-sales works alongside.
AI recruitment
Commercial hiring for AI companies.
SaaS recruitment
B2B SaaS GTM hiring.
Tell us the roles, the markets and the stage. You will get a straight answer on whether we are the right partner, and a market view either way.
Prefer email? hello@tippedrecruitment.com