Research
What founders ask before hiring engineers: 46 calls, July to November 2026
We went back through every call where a founder talked to us about hiring engineers between July and November 2026 and tagged what they asked. This is what came up, how often, and what it tells us.
By the Lyra Capital team · · 3 min read
How we did this
Nam Dao and the Lyra team take notes on calls with Granola. We pulled every note from 6 July to 7 November 2026 where a founder or engineering lead talked to us about adding engineering capacity: 46 calls once one duplicate was removed. 37 of those notes recorded the founder's own questions.
AI pulled each founder's questions out of the notes, and every question was then tagged by theme and checked against its note. One call often raised several themes, so the counts add up to more than 37. We left out names, companies and every dollar figure.
It is a small sample from one company's pipeline: founders who were already talking to us about engineers. Read it as what those founders worried about, not as a survey of the market.
What founders asked about
Fit beat everything else by a wide margin. Founders were not asking whether an engineer looks good on paper. They were asking how they would find out before it cost them a month. We wrote up what works in how to trial an engineer before you commit.
What kind of engineer they wanted
| Work requested | Calls (of 46) |
|---|---|
| Backend, infrastructure and data systems | 13 |
| Full stack | 10 |
| Frontend and UI | 9 |
| ML, data and AI | 9 |
| Forward deployed or implementation | 6 |
| Design engineer | 4 |
| Mobile | 2 |
Some calls asked for two kinds of work, and some named none. Backend asks were rarely generic: database design, multi-tenant architecture and storage fundamentals came up again and again. Frontend asks were usually about design execution, not a framework.
Forward deployed and implementation work showed up mostly at AI startups selling to enterprises, where every pilot needs custom deployment. More on that in why AI startups run out of deployment capacity.
What the questions tell us
- Trust is the bottleneck, not supply. Founders can find engineers. What they can't do is tell in advance which ones will work without supervision.
- Senior means judgment. When founders said senior, they described someone who can scope vague work and push back, not someone with more years. See what senior actually means.
- Small teams want shapes a full-time hire can't take. Part-time for a month, two engineers down to one after the MVP, cover while a new CTO starts. See engineering capacity before your founding engineer.
- Remote works when decisions are written down. Teams built around being in one room asked about onsite time first. See Australian engineers on a US startup team.
- The money question is when, not how much. See hiring engineers before or after your raise.
- The fine print matters once they like the engineer. Conversion, IP and equity questions arrived late in the conversation. See conversion, IP and equity.
- More engineers can slow you down. Review overhead was a real worry for teams that already had outside help. See adding engineers without a review bottleneck.
Questions founders ask
What do founders worry about most when hiring engineers?
In our calls, proving fit before committing. 15 of 37 calls with recorded questions asked how they could see real work, run a trial or swap the engineer if it didn't work out.
Which engineering roles were startups asking for in 2026?
Across 46 founder calls from July to November 2026, backend, infrastructure and data systems came up most (13 calls), then full stack (10), frontend and UI (9) and ML, data and AI (9).
How was this data collected?
From Granola notes of 46 calls Nam Dao and the Lyra team held with founders between 6 July and 7 November 2026. Questions were tagged by theme and checked against each note. Names, companies and figures are left out.
Based on Granola notes from 46 calls Nam Dao and the Lyra team held with founders about hiring engineers, 6 July to 7 November 2026. Names, companies and figures are left out. AI helped pull the questions from the notes, and each one was checked against its note. Facts about Lyra engineers are as published on lyratechnologies.com.au.