Accelerate Candidate Search with Advanced Smart Filters in TalentOS

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How TalentOS Advanced Smart Filters help recruiters find better candidates faster

ZoomInfo TalentOS is part of ZoomInfo's all-in-one AI GTM Platform, bringing the same data-driven precision that powers sales and marketing prospecting to talent acquisition. For recruiters, that means smart filters recruiting workflows built on ZoomInfo's comprehensive B2B data, the GTM Context Graph intelligence layer, and flexible access via APIs and integrations, all in one place.

Advanced Smart Filters let recruiters layer precise search parameters, from workplace culture scores to funding stage to job-change velocity, to build a qualified shortlist in minutes. Say you need candidates with a specific skill set at a competing company. With TalentOS, you can run several targeted strategies at once:

  • Build a list of candidates who work at companies with a low company culture score, provided by data from Comparably.

  • Assemble a set of candidates based on the maturity of their company or target candidates with specific startup experience.

  • Find candidates based on "Likely to Listen" attributes, such as industry and company turnover, management experience, the rate at which they change jobs, and the growth rate at the company they work for.

  • Search for skilled engineers based on their experience with front-end, back-end, or full-stack development.

  • Sort candidates based on their university's rankings.

Smart Filter categories in TalentOS

TalentOS Smart Filters let recruiters layer search parameters, using both standard criteria and advanced filters, to build a precisely targeted candidate pool. Seven distinct filter categories cover culture, funding stage, skill set, and behavioral signals.

1. Workplace environment

This filter category helps recruiters identify candidates in low-rated workplaces, as well as high-rated ones. Recruiters can layer additional filters to identify who might be ready to move to a better environment, and ensure that these candidates have the right skills required for the role.

Available filters:

  • Low-Rated Workplace Environment

  • High-Rated Workplace Environment

2. Corporate experience

This filter category enables recruiters to build talent pools of candidates based on their work experience at bigger companies.

Available filters:

  • Fortune 100–1,000

  • Meta, Apple, Amazon, Netflix, Google

  • Big 4 Accounting (Deloitte, PWC, Ernst & Young, KPMG)

3. Startup

This filter option can be used to identify candidates with specific startup experience.

Available filters:

  • Founded in 2021–2017

  • Series A-C

  • Seed Funding

  • Private Equity Funding

4. Candidate intelligence

This category of filters helps recruiters find candidates based on highly relevant information about changes in their immediate work environment and industry. These attributes combine to generate each candidate's Likely to Listen score, a composite signal indicating readiness to consider a new opportunity.

Available filters:

  • High turnover at the management level

  • High turnover industry

  • Candidates who frequently change jobs

  • Works at a company with a low employee growth rate

5. Top technology roles

Seek out qualified software engineers with specific types of development experience with this filter category.

Available filters:

  • Full-Stack Engineer

  • Front-End Engineering Experience

  • Back-End Engineering Experience

6. Education

Identify potential candidates based on a desired level of education using these filters.

Available filters:

  • Top 10 University Graduate

  • Top 25 University Graduate

  • Top 50 University Graduate

7. Hospital experience

This filter category can be used to identify candidates in the medical industry.

Available filters:

  • Emergency Medical Experience

  • Large Hospital Experience (500+ beds and employees)

How to use Smart Filters to build a targeted candidate shortlist

TalentOS Smart Filters span seven categories, Workplace Environment, Corporate Experience, Startup, Candidate Intelligence, Top Technology Roles, Education, and Hospital Experience, giving recruiters the ability to layer parameters across culture, funding stage, skill set, and behavioral signals. Here is a practical workflow for turning those filters into a qualified shortlist.

Step 1: Set role qualifications. Start with the Top Technology Roles or Corporate Experience filter to establish baseline skill and background requirements. This narrows the candidate pool to people who meet the core criteria before you apply any behavioral signals.

Step 2: Layer behavioral signals. Add Candidate Intelligence filters, job-change frequency and management-level turnover at the candidate's current employer, to identify candidates most open to outreach. Candidates who frequently change roles or work at companies with high management turnover tend to score higher on the Likely to Listen scale.

Step 3: Refine by workplace environment. Apply the Workplace Environment filter to surface candidates currently at low-rated workplaces. These candidates often show higher receptivity to a new opportunity, making outreach more likely to land.

Step 4: Validate culture and stage fit. Use the Education or Startup filters to match your company's culture requirements or growth-stage preferences. If the role calls for startup experience or a specific funding-stage background, this step keeps the shortlist aligned with what hiring managers actually need.

Combining multiple filter layers produces a shortlist that reflects both skill fit and candidate receptivity, without manually cross-referencing culture scores, funding stages, or skill sets across separate tools. Smart filters recruiting workflows in TalentOS do that work in a single search.

Get started with TalentOS Smart Filters

By combining Workplace Environment, Candidate Intelligence, and role-specific filters, recruiters can move from job brief to qualified shortlist without manually cross-referencing culture scores, funding stages, or skill sets across separate tools. TalentOS Smart Filters bring the same data-driven precision that powers sales and marketing prospecting to talent acquisition.

Ready to see TalentOS Smart Filters in action? Request a demo.

Frequently asked questions about TalentOS Smart Filters

What are ZoomInfo TalentOS Smart Filters?

ZoomInfo TalentOS Smart Filters are layered search parameters that let recruiters fine-tune candidate searches across seven categories: Workplace Environment, Corporate Experience, Startup experience, Candidate Intelligence, Top Technology Roles, Education, and Hospital Experience. By combining filters, recruiters can build a precisely targeted candidate pool based on skill fit, behavioral signals, and workplace context. No manual cross-referencing of data from separate tools required.

How does the Likely to Listen score work in TalentOS?

The Likely to Listen score is a composite signal generated from Candidate Intelligence filter attributes: high management-level turnover at the candidate's current company, high industry turnover, frequent job changes by the candidate, and low employee growth rate at their employer. Candidates with multiple of these attributes score higher, indicating greater receptivity to new opportunities. Recruiters can use this score as a prioritization layer on top of skill-based filters.

Can TalentOS Smart Filters identify candidates with startup experience?

Yes. The Startup filter category in TalentOS lets recruiters identify candidates based on the funding stage or founding year of their current or previous employer. Available options include companies founded between 2017 and 2021, Series A through C funding, Seed Funding, and Private Equity Funding. This filter is useful for roles where startup experience or a specific growth-stage background is a requirement.

What is the Candidate Intelligence filter category in TalentOS?

Candidate Intelligence is a TalentOS filter category that surfaces behavioral and environmental signals about a candidate's current work situation. It includes filters for high management-level turnover, high industry turnover, frequent job-changing behavior, and low employee growth rate at the candidate's company. These attributes combine to generate the Likely to Listen score, helping recruiters prioritize outreach toward candidates most likely to be open to a new role.

How does TalentOS use Comparably data for workplace environment filters?

TalentOS integrates company culture score data from Comparably to power the Workplace Environment filter category. Recruiters can filter for candidates currently working at low-rated or high-rated workplace environments. This allows talent teams to identify candidates who may be more receptive to a move based on their current employer's culture rating, and to layer this signal with skill-based or behavioral filters for a more targeted shortlist.