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πŸ€– Explain with AI

Advanced Candidate Filtering: Skills, Timezone, Salary & More

Overview

4Geeks Talent offers unlimited searches and filters to find exactly the candidates you need. Filter by skillset, timezone, language, expected salary, location, past experience, portfolio, and more β€” with no limits on how many searches you run.

In this tutorial, you will:

  • Master the advanced filter interface
  • Build complex multi-criteria searches
  • Save and reuse search configurations
  • Export search results
  • Optimize your filtering strategy

The Filter Interface

Access filters from the main search page:

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β”‚  Search Candidates                                  β”‚
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β”‚                                                     β”‚
β”‚  πŸ” Skillset          [React, TypeScript, Node.js]  β”‚
β”‚  πŸ“Š Seniority         [Mid, Senior]                 β”‚
β”‚  🌍 Timezone          [UTC-6 to UTC-3]              β”‚
β”‚  πŸ—£οΈ Language          [English: Fluent]             β”‚
β”‚  πŸ’° Expected Salary   [$4,000 - $7,000/month]       β”‚
β”‚  πŸ“ Location          [Costa Rica, Colombia, Mexico]β”‚
β”‚  πŸ“… Availability      [Within 2 weeks]              β”‚
β”‚  πŸ’Ό Past Experience   [SaaS, Fintech]               β”‚
β”‚  🎨 Portfolio         [Has portfolio]               β”‚
β”‚  🀝 Culture Fit       [Remote-first, Async]         β”‚
β”‚                                                     β”‚
β”‚  [Search]  [Save Search]  [Clear All]               β”‚
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Filter Categories Explained

1. Skillset

Search by technical and soft skills:

Input Type Example Notes
Specific technology “React”, “Python”, “AWS” Matches exact skills
Skill category “Frontend”, “DevOps”, “Data Science” Matches related skills
Multiple skills “React AND TypeScript” Both required
Either/or “React OR Vue” Either is acceptable
Exclude “NOT Java” Excludes candidates with this skill

2. Seniority

Level Typical Experience Description
Junior 0-2 years Entry-level, learning-focused
Mid 2-5 years Independent contributor
Senior 5-8 years Technical leadership, mentoring
Lead 8+ years Team leadership, architecture
Principal 10+ years Strategic technical direction

3. Timezone

Critical for remote teams:

Filter Overlap with EST (UTC-5) Overlap with CET (UTC+1)
UTC-8 to UTC-5 (US West to East) 8 hours 0 hours
UTC-6 to UTC-3 (LATAM) 8 hours 4 hours
UTC-1 to UTC+2 (Europe/Africa) 4 hours 8 hours
UTC+5 to UTC+8 (Asia) 0 hours 4 hours

4. Language

Proficiency Level Description
Native Mother tongue
Fluent Near-native, professional proficiency
Advanced Can work professionally with minor errors
Intermediate Can communicate but may need support
Basic Limited professional use

5. Expected Salary

Set a monthly compensation range:

  • Currency: USD, EUR, or local currency
  • Range: Minimum to maximum monthly salary
  • Note: Candidates self-report expected salary; use as a guide, not absolute

6. Location

Filter by country, region, or city:

  • Country: Specific countries
  • Region: LATAM, Europe, Asia, etc.
  • City: Major cities
  • Remote preference: Open to remote, hybrid only, onsite only

7. Availability

Timeline Description
Immediately Available to start now
Within 1 week Short notice period
Within 2 weeks Standard notice period
Within 1 month Longer notice period
Flexible Open to negotiation

8. Past Experience

  • Company: Specific companies they’ve worked at
  • Industry: SaaS, Fintech, Healthcare, E-commerce, etc.
  • Company size: Startup (1-50), Mid-size (50-500), Enterprise (500+)
  • Role type: Individual contributor, management, consulting

9. Portfolio

  • Has portfolio: Candidate has shared work samples
  • GitHub active: Active GitHub contributor
  • Open source: Contributions to open-source projects
  • Personal website: Has a personal portfolio site

10. Culture Fit

  • Work style: Remote-first, office-first, hybrid
  • Communication: Async-first, sync-heavy
  • Team size preference: Small teams, large teams
  • Growth mindset: Values learning and development

Building Complex Searches

Example 1: Senior Full-Stack Developer for US Startup

Skillset: React, Node.js, PostgreSQL, TypeScript
Seniority: Senior
Timezone: UTC-6 to UTC-3 (LATAM overlap with US)
Language: English (Fluent)
Expected Salary: $5,000 - $8,000/month
Availability: Within 2 weeks
Past Experience: SaaS, Startup (1-50 employees)
Portfolio: Has portfolio, GitHub active

Example 2: Data Scientist for European Fintech

Skillset: Python, Machine Learning, SQL, TensorFlow
Seniority: Mid, Senior
Timezone: UTC-1 to UTC+2 (Europe/Africa)
Language: English (Fluent), Spanish (Advanced)
Expected Salary: €4,000 - €7,000/month
Past Experience: Fintech, Financial Services
Culture Fit: Remote-first, Async

Example 3: Junior Developer for Growth Team

Skillset: JavaScript, HTML, CSS, Basic React
Seniority: Junior
Timezone: UTC-6 to UTC-3
Language: English (Intermediate or above)
Expected Salary: $2,000 - $3,500/month
Availability: Immediately
Culture Fit: Growth mindset, Remote-first

Saving and Reusing Searches

  1. Configure your filters
  2. Click “Save Search”
  3. Name your search (e.g., “Senior React Devs - LATAM”)
  4. Optionally set up email alerts for new matching candidates

Manage Saved Searches

  • View all saved searches from the Search page
  • Edit filters at any time
  • Delete searches you no longer need
  • Run saved searches with one click

Email Alerts

When enabled, you’ll receive notifications when:

  • New candidates match your saved search criteria
  • Existing candidates update their profile to match your criteria
  • Candidates change their availability status

Exporting Results

  1. Run your search
  2. Click “Export Results”
  3. Choose format:
  4. CSV: For spreadsheet analysis
  5. PDF: For sharing with stakeholders
  6. Select fields to include:
  7. Name, email, location
  8. Skills, seniority, expected salary
  9. Portfolio links, availability
  10. Download the file

Best Practices

Filtering Strategy

  • Start broad, then narrow: Begin with essential criteria, add filters gradually
  • Use timezone strategically: Ensure sufficient overlap with your team
  • Be realistic with salary: Research market rates for the region and skillset
  • Consider potential: Junior candidates with strong portfolios can outperform seniors

Search Optimization

  • Save your best searches: Reuse proven filter combinations
  • Set up alerts: Get notified when ideal candidates join
  • Review weekly: New candidates join regularly β€” check saved searches
  • Combine filters thoughtfully: Too many filters may exclude great candidates

Common Mistakes

Mistake Better Approach
Too many skill requirements Focus on core skills, nice-to-haves can be learned
Ignoring timezone overlap Essential for remote collaboration
Unrealistic salary expectations Research regional market rates
Only searching for seniors Mid-level candidates often provide best value
Not checking portfolios Real work samples reveal more than skill lists

What’s Next?

Need Help?


Still questions? Ask the community.