Technical interview automation
Give every technical candidate a thoughtful interview—automatically
Zivaro's AI agents run contextual technical interviews around the clock, ask intelligent follow-ups, and deliver evidence your engineering team can trust.
- Adaptive questioning across frontend, backend, data, DevOps, mobile, and infrastructure roles.
- Audio-native models detect pauses, confidence, and clarity while evaluating technical accuracy.
- Engineering leaders receive structured scorecards, highlight clips, and recommended next steps.
Fewer screening bottlenecks
Stop pulling senior engineers away from sprint work to run repetitive first-round interviews.
Role-specific depth
Templates reflect the nuance of your stack—from REST vs. GraphQL trade-offs to Kubernetes rollout safety checks.
Transparent evaluation
Audio clips, transcripts, and reasoning give confidence that recommendations are grounded in what the candidate said.
Zivaro mirrors your best technical interviewer
We capture the knowledge of your staff engineers and scale it through audio-native agents.
- Craft prompts covering systems design, debugging, performance tuning, or tooling familiarity.
- Upload sample answers or code snippets to steer the follow-up depth you expect.
- Use competency weights to emphasize architecture, execution, communication, or security hygiene.
- Flag risky statements automatically—like confusion around state management or production rollbacks.
Manual technical screens cause hiring drag
- Hard-to-schedule engineers lead to week-long delays before candidates hear back.
- Question quality varies by interviewer, making shortlists inconsistent.
- Candidates repeating the same introduction multiple times causes fatigue and drop-off.
- Managers see a score but lack the context needed to trust the decision.
10–12 minutes
Average technical screen
Enough time for candidates to explain trade-offs without slowing down the funnel.
30+
Technical templates
Prebuilt coverage for roles from junior frontend to senior ML engineer, customizable in minutes.
Confidence scores
Per competency
Engineers see how certain the agent is about each rating to decide when to dig deeper in live loops.
How it works
Get started in four steps
Capture your rubric
Define the technologies, depth, and evaluation criteria for each role. Include links to architecture diagrams or code samples if needed.
Launch interviews on demand
Invite candidates directly or let them self-serve time slots. Zivaro adapts the conversation based on the path they choose.
Review technical evidence
Engineering managers receive summaries with supporting audio clips, missteps, and suggested focus areas for onsite rounds.
Close the loop fast
Move qualified candidates forward immediately and provide coached feedback to those who aren't ready yet.
What you can evaluate automatically
Zivaro handles more than simple trivia. The agents are trained to ask why, how, and what-if questions.
- Systems design trade-offs and scaling scenarios.
- Debugging walk-throughs to understand investigation style.
- Code architecture discussions, including event-driven flows and API shape.
- DevOps readiness, including rollout plans and incident response habits.
- Communication clarity—can the candidate explain complex topics simply?
Experience an automated technical interview
We will configure a role from your stack and walk through the candidate and reviewer views side by side.