The Playbook for Hiring Your First 100 Engineers
In 18 months, I hired the first 100 engineers for our company. Not through an army of recruiters or by lowering the bar. Through a deliberate, systematic approach that treated hiring as an engineering problem.
Here's the complete playbook.
Principle 1: Define the Bar Before You Start
Before we interviewed a single candidate, I wrote a document called "What Makes a Great Engineer Here." It defined exactly what we were looking for across four dimensions:
Technical Excellence — Can they solve complex problems? Do they write clean, maintainable code? Do they understand systems at multiple levels of abstraction?
Collaborative Mindset — Do they communicate clearly? Can they give and receive feedback constructively? Do they elevate the people around them?
Ownership Mentality — Do they take responsibility for outcomes, not just tasks? Do they think beyond their immediate assignment?
Growth Orientation — Are they curious? Do they seek out challenges? Will they be significantly better a year from now?
Every interviewer was calibrated against this document. We ran mock interviews and discussed edge cases until all interviewers had a consistent standard. This upfront investment paid dividends — our offer-to-acceptance rate was 87%, because candidates could feel the clarity and intentionality of our process.
Principle 2: The Interview Process Is Your Product Demo
Every interaction with a candidate is a demonstration of your engineering culture. If your interview process is chaotic, candidates conclude your engineering is chaotic. If it's respectful and well-designed, they conclude your engineering is too.
Our process:
Stage 1: Resume Screen (24-hour turnaround)
No resume sits in a queue for more than 24 hours. We respect people's time. A senior engineer reviews every resume — never outsourced, never automated.
Stage 2: Technical Phone Screen (45 minutes)
A collaborative problem-solving session, not a whiteboard hazing ritual. The candidate shares their screen, and we work through a realistic problem together. We evaluate how they think, communicate, and iterate — not whether they've memorized algorithms.
Stage 3: Take-Home Project (optional)
Candidates who prefer async work can complete a take-home project instead of the phone screen. It's a realistic task — something an engineer might actually encounter in their first week. We cap it at 3 hours and review it as if it were a real code review: with constructive feedback and questions.
Stage 4: On-Site (4 hours)
Four sessions:
- System design — design a system from requirements. We care about trade-off thinking and communication.
- Code review — review a real (anonymized) PR from our codebase. We assess engineering judgment.
- Pair programming — build a small feature together. We evaluate collaboration.
- Culture conversation — no trick questions. A genuine conversation about values, motivations, and what they're looking for.
Stage 5: Decision (same day)
We debrief immediately after the on-site. Every interviewer shares their assessment independently (to avoid anchoring), then we discuss. The hiring bar is explicit: every interviewer must be a "strong yes" or "yes." A single "no" vetoes the candidate.
Principle 3: Hire for the Team, Not the Role
The biggest hiring mistake I see is hiring for a specific role in isolation. "We need a backend engineer, so find a good backend engineer."
Instead, I hire for the team composition I want. At any given time, I know:
- What skills the team has and what it lacks
- What seniority mix is healthy (not all seniors, not all juniors)
- What perspectives are underrepresented
- What growth trajectory each team member is on
A brilliant senior engineer might be the wrong hire if the team already has five seniors and needs someone mid-level to grow into a tech lead. A generalist might be more valuable than a specialist if the team needs flexibility.
Principle 4: Sell as Hard as You Assess
Top engineers have options. Many options. You're not just evaluating them — they're evaluating you.
What we did to win candidates:
- Transparency about challenges. We never pretended everything was perfect. We told candidates exactly what was hard about working here and why that was exciting.
- Technical depth in conversations. Engineers want to work with people who are technically sharp. Every interviewer demonstrated genuine technical competence.
- Speed. Offer within 48 hours of on-site. Every day of delay is a chance for a competitor to close.
- Personalized follow-up. After the on-site, the hiring manager sends a personal note about what impressed them. It's genuine, not templated.
The Mistakes I Made
Mistake 1: Hiring senior-only in the beginning
For the first 20 hires, I only hired senior engineers. Logical, right? You want experienced people to set the foundation.
Wrong. An all-senior team creates political dynamics. Everyone has opinions, nobody wants to do the "grunt work," and consensus is hard to reach. I corrected course by hiring strong mid-level engineers who were hungry to grow — and they became our most valuable contributors.
Mistake 2: Not having a dedicated recruiting function early enough
I handled recruiting personally for the first 30 hires. That was the right call — it set the culture and calibrated the bar. But I waited too long to bring in a recruiting team. By hire 40, I was spending 60% of my time on hiring, and other CTO responsibilities suffered.
The lesson: build the recruiting function at hire 25, not hire 50.
Mistake 3: Undervaluing "culture add" over "culture fit"
Early on, I looked for people who "fit" our culture. This led to a homogeneous team. I shifted to "culture add" — people who share our values but bring different perspectives, experiences, and approaches.
The teams that perform best have cognitive diversity. They disagree productively and arrive at better solutions than any individual would.
Scaling from 100 to 200
The playbook that got us to 100 needed evolution to get us to 200:
- Hiring managers own their hiring. I stopped being the final interviewer for every candidate. Instead, I trained 15 hiring managers and calibrated them thoroughly.
- Structured career ladders. Candidates at 200-person companies ask "what does growth look like?" You need a clear, written answer.
- Employer brand. At this scale, inbound interest matters. Engineering blog posts, conference talks, and open-source contributions created a pipeline of candidates who already wanted to work with us.
- Data-driven optimization. We tracked every metric: time-to-fill, pass-through rates, offer acceptance, 6-month retention, interviewer consistency scores. Every quarter, we identified the weakest link and improved it.
The Result
200+ engineers hired with:
- 92% retention at 12 months (industry average is ~80%)
- 87% offer acceptance rate (industry average is ~65%)
- 4.8/5 average candidate experience score (yes, we survey rejected candidates too)
- Zero discrimination complaints — structured process with explicit criteria protects against bias
Hiring is not a support function. It's the most important thing a CTO does. The team you build determines everything — the code quality, the culture, the velocity, the product. Get hiring right, and everything else follows.