Case study Data & AI Q1 2026

Revolv.ai hired a Senior Data Engineer in 16 working days

A search that most agencies quote at eight to twelve weeks, closed in just over three, with a single shortlist and no re-brief.

Senior Data Engineer Paris — hybrid 9 employees Series A Success fee — 10%
16
working days from kick-off to signed offer
#,###
profiles sourced by Talma agents
#
candidates shortlisted — # reached final stage
10%
success fee, payable on hire only
The company

Revolv.ai

[Two to three sentences describing Revolv.ai: what the product does, who it serves, funding stage and team size at the time of the mission. Keep it factual — this paragraph is the one the client's comms team will scrutinise.]

The challenge

A niche profile, on a product deadline

[What was at stake: the roadmap item or customer commitment that depended on this hire. How long the role had already been open, what channels they had tried (job boards, referrals, another agency), and what the failure mode was — too few candidates, wrong seniority, candidates dropping out.]

[The technical constraint that narrowed the pool: specific stack, scale of data handled, or the combination of skills that is rare in the market.]

Writing tip — the challenge section is where prospects recognise themselves. Be specific about the pain (weeks lost, roadmap slipped, three failed final-stage interviews) rather than generic ("they needed a great engineer"). One concrete number here beats a paragraph of adjectives.
How we ran it

Agentic search, human judgement

Talma agents handled sourcing, outreach, pre-qualification and scheduling. A senior recruiter owned the brief, the scorecard and every candidate that reached Revolv.ai's inbox. [Add the one decision that was specific to this mission — a scorecard criterion you challenged during the briefing, an adjacent talent pool you opened, or a salary-band insight you fed back after the first outreach wave.]

Day 0
Briefing
Role, scorecard and persona defined with Daniel and the data team.
Day #
First shortlist
[# qualified candidates delivered, each with a structured evaluation.]
Day #
Interviews
[Interview loop run over # days, scheduling handled end to end by Talma.]
Day #
Offer
[Offer extended and negotiated.]
Day 16
Signed
Mathis Pasteau joins Revolv.ai as Senior Data Engineer.
"
[Client verbatim — 2 to 3 sentences. The strongest client quotes name a specific before/after ("we'd been looking since January"), or a moment of surprise ("the first shortlist was better than anything we'd seen in three months"). Avoid quotes that only say the team was professional and responsive.]
DC
Daniel Covacich
CTO & Co-founder, Revolv.ai
Results

What Revolv.ai got

16 days
Working days from brief to signature — against a market average of ## days for senior data roles
#:1
Candidates presented per hire
## mo
Still in role — retention checkpoint
Come back to this block. Add the 6-month and 12-month retention figure as soon as you have it, and date it on the page. A case study that updates itself is a far stronger signal than one frozen at the moment of the hire.
From the other side

The candidate's experience

Every Talma mission has two clients. Here is how the process felt for the person who took the job.

"
[Candidate verbatim — 2 to 3 sentences. Ask Mathis directly what the AI-assisted process felt like from his side: response times, quality of information, whether he ever felt processed rather than met. An honest, slightly qualified answer is more persuasive here than an enthusiastic one.]
MP
Mathis Pasteau
Senior Data Engineer, Revolv.ai

Mission at a glance

Client
Revolv.ai
Role
Senior Data Engineer
Sector
[Sector]
Company size
[## people]
Location
[Paris]
Time to hire
16 working days
Model
Success fee — 10%
Hired
Mathis Pasteau

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