Trace claims into actual ownership
Explore what the candidate personally owned, why decisions were made, which alternatives were rejected, what failed, and where their responsibility ended.
CTO-LED TECHNICAL INTERVIEWS
Your candidates. A CTO-level interviewer. A decision you can defend.
Tech Talent Screen conducts role-specific, adaptive technical interviews for senior and high-impact technical roles.
One named veteran engineering leader learns your hiring bar and follows each candidate’s evidence into decisions, tradeoffs, debugging, failures, and actual ownership. You receive an evidence-backed advance or do-not-advance recommendation, material risks, and focused questions for the internal interview loop.
For candidates already in your funnel. No sourcing or placement.
Bring a live role. We will talk through what success looks like, which signals matter, and how the interviewer would evaluate candidates already in your pipeline. If it’s a fit, we calibrate the role and begin evaluating your candidates. We’ll discuss scope, timing, and pricing on the call.
The signal problem
Take-home projects, coding assessments, and familiar system-design prompts can show whether a candidate can produce an answer. Senior hiring decisions require evidence of how the candidate reasons when the prepared path ends, assumptions change, and tradeoffs become real.
Explore what the candidate personally owned, why decisions were made, which alternatives were rejected, what failed, and where their responsibility ended.
Observe how the candidate adapts when requirements change, complications appear, and the initial solution or theory no longer works.
Evaluate whether the candidate can use AI responsibly while still understanding, critiquing, debugging, and defending the resulting work.
Signal through calibration
Large interviewer networks provide access to a pool. Tech Talent Screen gives your team a working relationship with one named technical leader.
Before the first candidate evaluation, your team calibrates the role, hiring bar, must-have evidence, and material risks directly with that interviewer.
Define the role, real work, seniority expectations, and evidence required for a candidate to advance.
The same interviewer evaluates every candidate for the role, creating a more meaningful comparison across the candidate pool.
Review recommendations, risks, and uncertain areas with the person who conducted the interview.
The interviewer develops a more precise understanding of your standards and a stronger comparative view as the search progresses.
As the search progresses, the interviewer develops a clearer comparative view across candidates and applies your hiring bar with increasing precision.
How it works
The engagement follows a focused process built around the role your team is hiring for.
Your team shares the position, the work, the hiring bar, and the nuances that should shape a role-specific interview.
The interviewer explores past technical decisions and actual ownership, then observes the candidate working through a live problem with follow-up questions, complications, and changing constraints.
Your team receives a clear advance or do-not-advance recommendation, the evidence behind it, material risks, and focused questions for the internal interview loop.
What is evaluated
What the candidate personally owned, decided, changed, and remained accountable for.
How far the candidate can explain, defend, critique, and extend the work they describe.
How the candidate reasons about constraints, failure modes, alternatives, and system consequences.
How the candidate investigates unfamiliar behavior and adjusts when the initial theory is wrong.
How the candidate works through an evolving problem rather than a static, rehearsed exercise.
How clearly the candidate collaborates, explains uncertainty, and uses AI without surrendering technical understanding.
The deliverable
The report helps recruiting and engineering decide whether the candidate has demonstrated enough technical depth, judgment, and ownership to advance—and identifies what the next interview should investigate.
Recommendation
Advance or Do Not Advance
Experience and proof
Every current Tech Talent Screen evaluation is conducted by Bryan Hall, bringing more than 30 years of technical leadership and hiring experience.
Bryan led Data & AI at Seismic during its growth from approximately $100 million to $3 billion in valuation.
The evaluation method has been refined through 150+ senior technical evaluations across multiple roles and continues to improve through ongoing client engagements.
HOW TO START
Bring a Senior, Staff, Lead, or Principal requisition and the candidates already in the funnel. On a 30-minute working session we map the hiring bar, which signals actually matter, and whether a CTO-level evaluation is the right next step.
If it’s a fit, we calibrate the role and begin evaluating your candidates. We’ll discuss scope, timing, and pricing on the call.
You’ll speak directly with the person who conducts the interviews.