How to Create a Job Posting on totop.app

Welcome to totop.app, where you can turn any real job description into a personalized practice test and live AI mock interview in seconds.

In this quick video guide, we walk you through creating a target job posting in your dashboard so our AI engine can generate role-calibrated technical, case-study, and behavioral interview questions tailored to the exact role you are applying for.

Watch the Job Posting Guide

Why Create Target Job Postings on totop.app?

• Role-Calibrated Practice Questions: Generate practice tests and live voice mock interviews matched to the exact tech stack, seniority level, and responsibilities in your target job listing.
• Rehearse Before the Real Call: Practice answering multi-turn follow-up questions out loud with realistic AI interviewer personas.
• Actionable Rubric Feedback: Review question-by-question scores, missing signals, and model answers after every session.

Ready to ace your next interview? Create your first target job posting on totop.app today!

How to Craft a High-Signal Job Posting for Better AI Questions

The quality of the interview questions generated on totop.app depends directly on the specificity of the job description you paste into the platform. Here is how to get the most realistic questions from any job listing:

Step-by-Step Tips for Customizing Your Practice Loop

1. Turning a Real LinkedIn or Greenhouse Job Listing into a Mock Test

Copy the Responsibilities, Requirements, and Preferred Qualifications sections from the target company's career page and paste them into the Description field. Strip out generic company history or benefits sections so the AI focuses 100% of its question budget on the skills the hiring manager will actually test.

2. Re-Using a Single Job Posting Across Multiple Practice Rounds

You do not need to create a new job posting each time you practice. Every time you launch a test or AI mock interview from an existing job posting card, the engine generates a fresh set of questions covering different angles of the same job requirements—allowing you to practice 3 to 5 distinct rounds for a single target company.

3. Using Custom Job Postings to Target Weak Spots

If you already know a specific round will focus heavily on one topic—such as system design trade-offs, SQL window functions, or executive pricing objections—create a focused mini-posting that lists only those 4 to 5 topics. This forces the AI interviewer to drill exclusively on your weakest area until your answers are effortless.

Example High-Signal Job Description Template

When you want to practice for a target role before an official requisition is even posted, paste a structured specification like this into the Description box:

• Role & Level: Staff Backend / Distributed Systems Engineer (L6)
• Core Stack: Go, PostgreSQL (partitioning, MVCC, connection pooling), Kafka event streaming, Redis cluster, and Kubernetes on AWS.
• Key Evaluation Areas: Designing idempotent payment APIs, handling multi-region failover and split-brain scenarios, debugging p99 latency spikes, and leading cross-team Architecture Decision Records (ADRs).
• Behavioral Focus: Resolving technical disagreements across teams, owning high-severity production postmortems, and mentoring senior engineers.

Non-Technical Role Template Example (Enterprise Sales & Finance)

You can use the exact same structured approach for business, finance, marketing, and HR loops:

• Role & Level: Enterprise Account Executive / Strategic SaaS Sales (Mid-Market & Fortune 500)
• Core Methodology: MEDDPICC qualification, multi-threaded executive discovery, CFO ROI business case modeling, procurement security review navigation, and competitive displacement against legacy incumbents.
• Key Evaluation Areas: Handling late-stage pricing and discount objections, structuring mutual action plans (MAPs), running live 15-minute discovery roleplays, and defending quarterly pipeline forecast accuracy.

How the AI Parser Weighs Your Job Description Sections

When you save a job posting on totop.app, the prompt synthesizer extracts three distinct layers from your text:

1. Hard Must-Have Skills (50% Question Weight): Programming languages, cloud providers, financial modeling standards, or GTM frameworks explicitly listed in the top half of the requirements.
2. Scale & Operational Context (30% Question Weight): Clues such as "high-throughput microservices", "regulated fintech compliance", "Fortune 500 outbound", or "post-merger integration" calibrate the scenario complexity and follow-up edge cases.
3. Leadership & Cross-Functional Scope (20% Question Weight): Mentions of mentoring, executive readout cadence, or stakeholder conflict resolution shape the behavioral and situational questions included in your session.
4. Iterative Refinement Between Rounds: If an initial practice round feels too introductory or too narrow, simply edit your saved job posting to add senior architectural keywords, regulatory constraints, or executive KPI targets before launching your next simulation. You can also duplicate a job posting card to separate your technical deep-dive rehearsal from your hiring manager behavioral round while keeping all your performance scores organized by target company.