The AI interviewer that actually works.
Send one link. Every product manager candidate gets a real 35-minute interview by voice, against the same bar, on their own schedule. You get an evidence-backed report on each one. A wider pipeline, stronger finalists, and zero extra interviewer hours.
Built by Product Faculty, the team behind the #1 AI product management certification.
Owned the fraud-rules launch end to end and is clear on the metric that moved and the decision that was theirs. Strong on evals and model tradeoffs. Thinner on stakeholder conflict; probe in the onsite.
"We shipped the rules engine in Q3. Chargebacks fell in the first month, and the rollback plan was mine, not engineering's."Transcript · 12:40 · quoted as evidence for Ownership
Stop screening on resumes. Start deciding on evidence.
Interview every qualified applicant
Not the handful your calendar allows. One link covers the whole pipeline, so the strong candidate with the unusual resume actually gets heard.
Hold one bar, every time
Same sections, same expectations, for every candidate. Must-haves from your job description weigh double. No interviewer drift, no Friday-afternoon leniency.
Send hiring managers evidence, not vibes
Every score quotes the transcript. A manager reads the report in minutes and walks into the onsite knowing exactly what to probe.
Paste a job description. Send a link. Read the report.
Paste the job description
Panel drafts the interview: sections, time budgets, what a strong answer looks like, and the questions. Edit anything in plain English.
Send one link
Candidates interview on their own time, by voice, in the browser. No scheduling. Every candidate gets the same bar and a real conversation that adapts to what they say.
Read the report
A 0 to 5 score, a summary a hiring manager can act on, section scores with evidence quoted from the transcript, the recording, and integrity flags.
Written by people who train PMs for a living.
Every section carries observable expectations. The interviewer probes for evidence, the reporter scores each one 0 to 3 and quotes the transcript, and must-haves from your job description weigh double.
Ownership and impact
What they shipped, their role, the decision that was theirs, the number that moved.
Product sense case
Framing, user evidence, options, a recommendation with the trade-off it accepts.
Execution and metrics
Metric trees, guardrails, a launch they delayed or rolled back.
AI product fluency
Where a model belongs, the quality bar, evals, risk.
Artifact exercise
They read a flawed PRD or a backlog and fix it live, then defend the change.
Collaboration and close
A real stakeholder conflict, their questions, an explicit end.
A real interview, scored the way a great interviewer would.
It's a conversation, not a quiz
Panel listens, follows up, and pushes for specifics. Candidates who can only recite frameworks run out of road. Candidates who did the work get to show it.
The rubric comes from certifying 4,000+ PMs
The sections and expectations are the ones we use to train and grade product managers at Product Faculty, tuned to your job description.
Scores you can defend
Every section is scored 0 to 3 with the transcript quoted. The overall 0 to 5 is tied to evidence, never inferred. Integrity flags surface coached or read answers.
Humans make the call
Candidates are told they're talking to an AI. Your team reads the report, hears the recording, and makes every decision.
Your whole pipeline, interviewed by Friday.
AI-led interviews with human review. No hiring decision is made by the AI. Candidates are told they are talking to an AI, and a person on your team makes every decision.