Six years on a panel that churned through agencies.
One of India's most selective tech companies ran a panel of agencies. Most churned out. We stayed six years, closed 26 hires including niche roles no one else could crack, and became the firm their recruiters still call from their next companies.
The Client
Picture a fintech company that made exclusivity its entire identity, where even getting access to the product required meeting a standard most people don't. Now apply that same philosophy to hiring.
This is a company that became a household name in Indian fintech not just because of its brand, but because of the caliber of people it consistently attracted. Engineers who worked there became one of the most sought-after talent pools in the country. Other companies would come to us and specifically ask for candidates from this firm, not because of the logo, but because of what getting hired there meant about a person.
Placing someone here wasn't a transaction. It was a signal.
Client Profile
Leading Indian Fintech
Consumer Technology · Bangalore · Confidential
Engagement Since
2019
Total Placements
26 Hires
Status
Active Into 2026
Role Range
IC through Tech Leadership
Re-referrals
3+ From Ex-Contacts
What made this client
different to hire for
Every agency on their panel got the same brief. Most sent volume. We sent fit. Here are the four filters we learned to apply, and enforce, before a single profile left our inbox.
These weren't preferences. They were hard lines. Submitting a candidate who didn't clear all four was a fast way to lose the account. Internalising them is what kept us on the panel while other agencies churned out.
Scale was non-negotiable. For backend roles, they almost exclusively considered engineers from high-scale B2C companies. A strong candidate from a well-funded B2B startup, or an early-stage company that hadn't seen real volume, would rarely clear the bar, regardless of technical ability.
They'd turn down the stronger candidate, on purpose. If the role would down-level a qualified candidate, the client would pass, even when the shortlist got weaker for it. Their argument: a hire who feels stalled in year one won't stay through year three. Most companies take the obvious bargain, a more experienced person at the same cost. This one refused to.
Culture was a hard filter. In the early years, every hire was required to be an eligible user of their own product, a threshold that applied to every single person joining the company. They weren't just hiring engineers. They were hiring believers.
Niche roles with tiny talent pools. Searches like Backend Architect and Data Platform Engineer had candidate universes so small that volume-based approaches simply didn't work. Precision was the only path.
The Work
Over six years, our placements spanned Backend Engineers at multiple levels, Technology Leaders, Engineering Managers, a Backend Architect, Data Platform Engineers, SDETs, and Data Scientists. The roles we are most proud of were the ones that required the most precision.
Highlight · Payments
Payments Engineering Leader
Had spent nearly a decade at one of the world's largest tech companies and wasn't looking. We approached him, built the case, and navigated an offer where the client stretched well beyond their original budget. He joined to lead a team of 10–12. Today he oversees 120+ engineers, and is now a hiring manager we work with on new searches.
Highlight · Infrastructure
Backend Architect
A highly specialized search with a deliberately constrained candidate pool. We submitted no more than 10–15 profiles before closing, a reflection of quality-over-volume sourcing that this client demanded and rewarded.
Highlight · Data
Data Platform Engineer
A role that barely exists outside a handful of companies in India. The talent pool was tiny by definition. We generated multiple offers before closing the right one.
Highlight · Engineering
Two Engineering Managers
Including one candidate relocating from a global tech giant in Singapore. Both placed at a company with one of the highest EM hiring bars in Indian tech.
Relationship Timeline
2019
Partnership Begins
First placements made. Relationship established before the brand became a household name.
September 2020
Dedicated Account Coverage
Deep focus begins. Relationship with internal TA team strengthens steadily.
July 2021 – December 2022
Peak Engagement Period
10 hires across 18 months, every one through the same 10-to-15-profile discipline. No panel dilution. No bar drops.
Ongoing
Relationship Travels
Three senior recruiters, after leaving this company, brought us into their next organisations, across consumer tech and fintech, typically within 90 days of starting their new role.
2026
Still Active
Into the seventh year of the engagement, with searches currently in flight.
So far they are the only one who cracked business with us. Other vendors failed. So I must say they are good and they invested a lot of time and effort.
Senior Talent Leader · Forwarded to founder · Unprompted
The relationship
behind the numbers
What made this partnership last six years wasn't any single hire. It was trust that accumulated across dozens of searches, multiple points of contact, and several transitions in their internal talent team.
Over the years, the relationship survived four different primary TA contacts, each time, the incoming team already knew who we were. When one senior recruiter left for a company we had never worked with before, they brought us in anyway. Another did the same at their next company. The relationship didn't end when the individual left. It traveled with them.
The placements spanned levels, teams, and functions, a reflection of the depth of the talent network we have built across hundreds of tech leadership searches.
10–15
Profiles per search, even on the hardest
26
Placements across 6 years
3+
Re-referrals from ex-contacts
The search that proved the method
Backend Architect
The role their VP of TA called borderline impossible
A highly specialised search with a candidate universe small enough to count on two hands. Volume sourcing wasn't an option, and quality-over-volume wasn't a preference, it was the only way in. We submitted 10 to 15 profiles before closing. One offer. Hire joined and stayed.
This is what a panel looks like after six years of being the one that didn't churn. If that's the standard you're hiring against, that's the conversation to have.
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