The brief.
A US software company that sells point-of-sale systems to restaurants was falling behind on support. Its in-house team worked business hours, but restaurants run evenings and weekends, which is exactly when a frozen terminal or a failed card payment costs a customer money. Tickets that arrived after hours waited, customers grew frustrated, and the in-house team was stretched thin covering the gap.
The first brief was a support team, fast: experienced technical support executives who had worked with US customers, could communicate clearly on live calls, and could be in place within a week, with the option to replace anyone who did not perform.
Later, the same client came back with a harder brief: one Technical Support Engineer who could troubleshoot live POS issues for retail clients by email, phone and remote session, then turn what they found into bug reports, regression test suites and knowledge base articles for the product team. That role combined two jobs that are usually split, front-line support and QA, on a schedule built around US hours rather than an Indian working day: long, staggered shifts six days a week, with part of the pay tied to performance and customer satisfaction (CSAT).
- Hands-on support experience with US-based customers (both searches)
- Clear spoken and written English for live calls with non-technical restaurant staff
- POS knowledge: setup, hardware, payments, inventory, discounts, multi-store configuration, integrations, backup and recovery
- Structured troubleshooting across software, hardware and network faults
- 2+ years in technical support, ideally in POS or retail
- Manual regression testing and test-suite upkeep as the product changes (second search)
- JIRA and Zendesk, plus support documentation and knowledge base articles
- Comfort with long, non-standard shifts on US time
The funnels.
First search · two support executives
Sources: withRemote internal database, LinkedIn, Indeed
Second search · Technical Support Engineer with regression testing
The problem.
The first search was about speed and temperament. The client needed people in seats within a week, and needed them to sound at ease with a restaurant owner in the middle of a dinner rush. Plenty of applicants had support experience. Far fewer had supported US customers directly, and fewer still could stay calm and precise on a live call at the end of a long shift. Of 1,424 profiles, 15 were strong enough to put in front of the client.
The second search was harder because it asked one person to do two jobs. Support veterans were often comfortable on the phone but had never kept a regression suite current as the product changed. Testers could reproduce a bug cleanly but went quiet with a frustrated store owner on the line. The role needed both, plus real POS knowledge: a failed payment can sit in the software, the card terminal, the receipt printer, the network or a multi-store setting, and a résumé that says "technical support" does not show whether someone can tell which.
The schedule added a third filter. Long, staggered shifts on US time, six days a week, with pay partly tied to CSAT, suit someone who treats customer satisfaction as their own number. That only shows up in conversation, which is why the second funnel narrows hardest between résumé evaluation (150) and the first internal round (44).
What we did.
For the first search we built the brief around three things: US customer experience, spoken English, and problem-solving on real support scenarios. 1,282 of 1,424 profiles passed an initial screen and 746 went through résumé review and a first interview. We sent the client 15 shortlisted profiles; it interviewed 12 and hired two.
We then ran the two hires as a managed team rather than handing them over. A dedicated project manager owned their performance and deliverables. Tickets ran through the client's ticketing system, and Insightful, a productivity tool, tracked hours and availability across shifts. The client got a daily stand-up, an end-of-day update from the team, and a weekly review with our management to raise anything that needed fixing.
For the second search we weighted the rubric toward what résumés overstate most in this role: POS depth, the support-plus-QA combination, and live communication. 500+ profiles were screened to 193 and evaluated to 150. 44 reached our first internal round on troubleshooting, POS knowledge and testing fundamentals. 26 cleared a second round, held as a live conversation, on communication, customer handling and the shift pattern. From the first round on, every candidate had to pass the technical bar and the communication bar separately, so a strong showing on one could not cover a weak one. Six reached the client, four made its final round, and one was hired.
What changed.
Support response times fell to one to two minutes across 56 hours a week of coverage the client could not staff before: 5 PM to 11 PM MST on weekdays and 10 AM to 11 PM MST on weekends. The in-house team went back to its core work.
Running that coverage through a remote team saves the client about $6,500 a month against doing it in-house, across office space and utilities, HR overhead, and the cost of hiring and keeping support staff. That is roughly $78,000 a year.
The second search closed with a Technical Support Engineer who knows POS systems, keeps regression suites current, and can explain a fault clearly to a non-technical restaurant manager. Across both searches the client's team met 18 candidates to make three hires from more than 1,900 profiles. A client coming back for a second, harder role is the clearest sign the first one worked.
What it was worth.
What the same engagement would mean for a team that needs support covered outside its own working hours.
About $78,000 a year saved against covering the same hours in-house: office space, HR overhead, hiring and retention.
Weekday evenings and full weekends on US Mountain Time, without opening a US night shift.
Across 1,900+ profiles in two searches, the client's team met 18 people. We screened the rest.
Project manager, productivity tracking, daily stand-ups and end-of-day reports, with a replacement if anyone underperformed.
How we ran it.
Brief the support team
Built the first brief around US customer experience, spoken English and problem-solving, with a one-week target to have people in place.
Hire two, run them as a team
1,424 profiles to 15 shortlisted, 12 client interviews, 2 hires. A project manager, Insightful tracking, daily stand-ups and weekly reviews kept the team accountable.
Second brief: support plus QA
Weighted the rubric to POS depth, regression testing and live communication. 500+ profiles to 44 at the first internal round and 26 at the second.
Client rounds and hire
Six candidates reached the client, four made the final round, and one Technical Support Engineer was hired.
What made this work.
Running the first two hires as a managed team, not a handover, is what earned the second search. The client never had to work out how to supervise people on another continent covering its evening shift: the project manager, the productivity tracking and the daily reporting were already in place. When the next role came up, the question was what to hire, not whether remote support would hold up.
The second lesson is about hybrid roles. When one job joins two skill sets, it is tempting to let a strong showing in one cover a gap in the other: a superb troubleshooter with hesitant English, or a fluent communicator who has never kept a test suite. Scoring both separately at every round is what kept the client's final round down to four people who could each do the whole job.