This Job Tracker database helps you organize your entire job search by keeping applications, companies, and interviews connected in one system. Instead of juggling multiple spreadsheet tabs or losing track of where you applied, you see every detail—from initial interest to final offer—in a structured, relational database.
The database includes three connected tables: Jobs tracks individual applications with status and salary data; Companies stores details about employers; and Interviews logs scheduled meetings with transcripts. These tables link together naturally—each job connects to a company, each interview connects to a job application—so you can see the full picture without manual cross-referencing.
AI features enhance the workflow: "AI Job Analysis" fields can extract key requirements from job descriptions, while "AI Insight Summary" fields can analyze interview transcripts to highlight important discussion points.
Google Sheets forces you into awkward workarounds: separate tabs for applications and companies that require fragile VLOOKUP formulas and mixed data types in the same columns.
Softr Databases enforce proper structure with typed columns—dates stay dates, select fields prevent typos, and related records replace fragile formulas. Rollup fields automatically count total applications per company, and lookup fields pull company details into job records without manual copying. This relational structure means your data stays consistent and you build on a foundation ready for app interfaces and automation.
The status tracking system uses select fields with predefined choices (To Apply, Applied, Interviewing, Offer Received, Rejected, Ghosted) ensuring clean, filterable data. Database AI agents can run when new jobs are added to analyze posting URLs and extract requirements, or trigger after interviews to summarize transcripts and identify follow-up actions—all updating fields directly in your database.
Manage applications with status updates and AI-driven role analysis
Maintain a directory of target employers and their industry backgrounds
Log interview sessions using AI to generate summaries from transcripts
This database helps anyone managing a structured job search:
Customize the database: Modify the Status select field to match your workflow (add "Negotiating" or "Declined Offer"), adjust Industry choices in the Companies table to reflect your target sectors, or add custom fields like "Referral Source" to track how you found each opportunity.
Build an app on top: Once your database structure is solid, use Softr's interface builder to create a personal job search portal. Build views that filter by status or company and design detail pages for application notes. Full-stack apps in Softr combine your database with custom interfaces and workflows. Add users and permissions if sharing with mentors so they can view your progress without editing your data. A well-structured relational database makes app development straightforward.
A job tracker database is a structured system that organizes job applications, company information, and interview details in connected tables. It tracks every step of your job search—from initial interest to final outcome—while maintaining relationships between applications and employers.
No-code databases let you launch a production-ready job tracking system immediately without custom development. You get proper data structure with relational connections between jobs and companies, plus the flexibility to customize fields as your search evolves.
Softr's Database AI agents perform automated tasks on your data. AI agents can analyze job posting URLs to extract requirements, categorize positions by seniority, and summarize interview transcripts to highlight key discussion points automatically.
Yes, using Softr's interface builder you can create a full job search portal. Build custom views filtered by status and design dashboards visualizing your pipeline progress while maintaining professional data security.
Databases use native relational connections where jobs link directly to companies without fragile formulas. Screens remain organized with typed fields like dates and status tags, ensuring your job search data is scalable, consistent, and ready for app development.