For hiring managers

Escape the AI hiring doom loop.

AI writes the resumes. AI filters the resumes. The signal is dead. TalentOS measures the one thing AI can't fake for a candidate: how they reason when the problem is real.

1.0

Post a role →

Paste your JD. TalentOS automatically generates a complete, realistic incident scenario for YOUR stack: schema, logs, data, a team thread. Then it's frozen, so every candidate for the role faces the same problem. Zero setup.

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Role

Staff Data Engineer

Team (optional)

Data Platform

Job description

We're looking for a Staff Data Engineer to debug and improve our revenue pipeline. Strong SQL, data modeling, and production troubleshooting experience required.

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Incident

Generated · frozen for this role

SEV-2 · Nightly revenue rollup double-counts orders

Schema, sample data, logs, and a team thread. Every candidate gets this same scene.

2.0

Candidates reason live →

They investigate with an AI teammate and a real SQL console. The AI is expected, not banned. Every exchange is part of the evidence.

Incident

Generated

SEV-2 · Nightly revenue rollup double-counts orders

At 02:15 UTC, Finance flagged an unexpected spike in nightly revenue. The rollup job completed successfully, but metrics are inflated. Identify the root cause and propose a fix with validation steps.

Services 8Tables 24Updated 2h ago

DetailsCustomer impactTimelineArtifacts

SQL Console

ConnectedRead replica▶

1SELECT
2  o.order_date,
3  COUNT(*) AS orders,
4  SUM(o.amount) AS revenue
5FROM orders o
6JOIN order_items i ON i.order_id = o.id
7GROUP BY 1 ORDER BY 1 DESC;

✦ AI Teammate

Evaluated

I reviewed the incident details and scanned recent schema and job changes. Here's what stands out.

Before you commit: how did you rule out a backfill re-run? The rollup job changed 26h ago, and the new join path is where I'd validate first.

Ask a follow-up…↗

3.0

Read the reasoning →

No black-box score. An evidence review with cited key moments from the transcript, dimension by dimension. Your candidate receives the reasoning too.

Evidence review

Staff Data Engineer · SEV-2 Revenue Rollup

Recommendation

Strong hire ✓

Key reasoning moments

12:43“The join to order_items can duplicate orders. Let me validate the cardinality.”

View in transcript ↗

18:07“The rollup job change two days ago switched the join path. That matches the spike.”

View in transcript ↗

26:31“I'll deduplicate by order_id before aggregation and re-run the validation.”

View in transcript ↗

Assessment dimensions

Problem framingStrong

Data investigationStrong

Hypothesis qualityStrong

SQL proficiencyStrong

Validation rigorStrong

CommunicationStrong

Summary

Formed accurate hypotheses, validated with data, and proposed a correct fix with clear checks. Strong production intuition and SQL skills.

Dimensions evaluated by AI · Reviewed by hiring team

Built to a target

~50%*

Designed to cut time-to-signal by ~50%

8h*

Built to surface signal 8 hours of technical panel review can miss

One frozen scenario per role, generated for any stack in minutes. Identical for every candidate

100%

Every candidate receives the reasoning about them. Transparency runs both directions

Zero timers, keystroke logs, or proctoring. Reasoning is the only signal we score

*Projected targets based on assessment design and early internal testing. Full benchmarks published post-launch.

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