Before Setting Up the Search
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Deep collaboration with Hiring Managers:
- Conduct structured interviews with the Hiring Manager to uncover signals of excellence visible on prospect profiles.
- Conduct structured interviews with the Hiring Manager to uncover signals of excellence visible on prospect profiles.
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Create Role-Specific Criteria:
- Pre-built by discipline: Sales, Engineering, Product, Marketing.
- Create role-specific criteria that reflect resume-visible signals of excellence — the kind of attributes a top sourcer would be trained to spot in a profile. Avoid soft skills or subjective phrases that can’t be evaluated on a profile.
Examples
- For Sales
- Experience closing B2B SaaS deals of $50K+ ARR as an Account Executive or in a similar quota-carrying sales role
- Quota attainment of 100%+ in 2 or more years, visible in profile summary or role descriptions
- Experience selling into enterprise or mid-market segments at a high-growth startup
- For Engineering
- 5+ years of experience building and scaling backend systems using Python
- Contributed to cloud-native architectures or worked with tools like Kubernetes or Docker
- For Product
- 3+ years of experience as a Product Manager owning customer-facing products at a SaaS company
- Experience launching products end-to-end, with mention of roadmap ownership or collaboration with engineering and design teams
- For Marketing
- Led demand generation or lifecycle campaigns in a B2B SaaS environment
- Experience using MarTech tools such as Marketo, Hubspot, or Segment
- Demonstrated pipeline contribution or campaign results in profile description or listed metrics
During the Search Setup
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Maximize the Benefits of AI: Research shows AI Agents with one or both of the below options included produce higher quality profiles as measured by higher ATS passthrough rates
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Select “What job are you sourcing for?”
- Note: This is available if your ATS is connected to Gem, where your AI Agent can read your job posting to set AI-Suggested criteria (you can edit the AI-Suggested criteria later)
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Paste your intake doc or include additional details on your ideal hire in “Suggestion: Paste in role intake doc or describe your ideal profile. Intake docs provide richer insights — more details lead to better results!”
- Paste your work from the “Before Setting Up the Search” section into the text box
- If your ATS is not connected to Gem or you’re running a search for a job not currently open in your ATS, paste the job posting into this text box
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Mindset: If you had an assistant Recruiter, what information would you give them so they can find the top profiles for you? Paste that information into the text box!
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Select “What job are you sourcing for?”
After the Search Launch
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Rapid Iteration Cycles:
- First 20–50 candidates reviewed within 24 hours, then adjust search settings dynamically.
- First 20–50 candidates reviewed within 24 hours, then adjust search settings dynamically.
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Train Recruiters to Look for High-ROI Profiles:
- Coach them to spot potential not just pedigree — career momentum, project ownership, breadth of experience.
- Coach them to spot potential not just pedigree — career momentum, project ownership, breadth of experience.
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Outcome-Driven Success Metrics:
- Focus on quality of top 20 profiles, not raw pool size.
Best Practice: Instead of filtering by Companies or Years of Experience, the information is better included in the AI Agent either by
- Having this set in the Criteria
- As entered into the “Suggestion: Paste in role intake doc or describe your ideal profile” field. This prevents filtering out talent who are a fit, while ensuring you spend your time on the top talent since highest Match Scores are listed first
For More Information, See:
AI Sourcing Best Practices: Troubleshooting Too Few or Too Many Profiles
AI Best Practices: AI Scoring Criteria Best Practices
How to Apply Best Practices
Step | Best Practice Approach | Why It’s Higher Impact |
Using Criteria | State criteria as you would to an assistant Recruiter and state the criteria concisely, focusing on concrete skills and work history which are verifiable on a work profile | Optimizes AI Sourcing Agents for true top matches |
Review & Iterate | Schedule 24 – 48 hour iteration cycles after initial search | Fast correction prior to path dependence on suboptimal searches |