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FIT5 Vetting · Case study

Senior data and product hires, straight from our shortlist

For a pharma marketing SaaS, the client hired its Senior Data Engineer from just 2 presented candidates and its Senior Product Manager from 4.

1 in 3presented candidates was hired
~160 hof interviews run on our side instead of the client's (est.)
54%of presented candidates invited straight to the technical interview

Client

A marketing SaaS for the pharma industry.

The challenge

Every role sat at a rare intersection of skills. Senior data engineers had to combine large-scale pipelines on GCP (BigQuery, Spark, Iceberg) with LLMs in production. Product leads needed hands-on knowledge of ad platforms and media buying in a regulated pharma domain. On top of that: an AI-first engineering culture, a clear ownership mindset, and one rule from the client: with teams of three, any doubt meant a decline.

What we did

  1. Agreed the red flags before the search.With the client we defined what disqualifies upfront: NDA-heavy CVs with no concrete contribution, resistance to AI-first workflows, service mindset in leadership roles.
  2. Took the first three checks onto our side.Every candidate went through a pre-screen, an HR interview on the client's values, and a technical validation by us. Across the search, we ran 90 HR interviews and 74 technical validations before the client spent any time.
  3. Sent a decision-ready dossier, not a CV.For every candidate: screening overview, values scoring with rationale, recruiter concerns stated openly, a separate technical assessment, and salary and location expectations.
  4. The client focused on the final call.Its interviews met only candidates who had passed every check above.

The result

Hiring for a role most agencies call "a unicorn"?

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