Role-specific. Annual pricing. Hiring managers can ping it anytime.

Recruiting Fellow

A custom-built AI recruiter that lives in your team's Slack. Sources candidates, screens applicants, schedules interviews, and runs reference checks. Trained on your hiring criteria, your team voice, and your interview process.

What a Recruiting fellow does

The recruiting work that buries every hiring manager, handled.

S

Sources candidates.

Pulls profiles matching your role spec from LinkedIn, GitHub, and your ATS. Filters for must-haves.

R

Screens applicants.

Reads applications, scores against your rubric, asks clarifying questions to candidates when info is missing.

C

Schedules interviews.

Coordinates calendars across the candidate and your panel.

D

Drafts outreach.

Cold messages, follow-ups, and rejections in your team's voice. Personalized per candidate.

F

Runs reference checks.

Drafts the questions, schedules the calls, and writes the summary.

P

Manages the pipeline.

Updates your ATS after every interview. Pings hiring managers when stages stall.

Tools your Recruiting fellow connects to

Deep, role-specific integrations. Not 3,000 shallow ones.

ATS

Greenhouse Lever Ashby Workable

Sourcing

LinkedIn Recruiter Gem hireEZ

Engineering Signal

GitHub (read-only)

Calendar

Google Calendar Microsoft 365 Calendar

Communication

Slack Microsoft Teams Gmail Outlook

Background / References

Checkr (read-only)

Need a tool not listed? Tell us during scoping.

How a Recruiting fellow shows up in your channel

Your first 30 days with a Recruiting fellow

Week 1

Setup

  • Scope the role with you (role specs, rubrics, panels, tone)
  • Custom-train Avery on your hiring patterns and prior debriefs
  • Add Avery to your Slack and connect ATS in read mode

Week 2

Shadow

  • Avery sources candidates and screens in read-only
  • You give it small jobs: source 10 for this role, screen these 14, draft this rejection
  • Every output reviewed before sending

Week 3

Delegate

  • Sourcing runs continuously for active reqs
  • Screening drafts auto-generate when applications land
  • Scheduling for confirmed candidates happens automatically

Week 4

Measure

  • Review candidates in pipeline, time-to-screen, hires made
  • Decide what to expand into Avery's scope
  • Onboard another role if ready

Why this is different from your ATS

Greenhouse and Lever are your system of record. Avery is the recruiter who works those systems — sourcing candidates, screening against your rubric, scheduling interviews, and keeping the pipeline moving. The ATS stores the data. The fellow does the work.

Most teams run the fellow alongside their ATS. Avery is the junior recruiter you have not hired yet.

Pricing

Each Recruiting fellow is on a custom annual plan based on hiring volume and number of open reqs. Predictable annual price. No per-candidate or per-screen meters.

Get pricing for a Recruiting fellow

Frequently asked questions

Not by default. Avery drafts rejections; a human approves and sends. We can configure auto-send for narrow categories (clearly off-spec applications) once your team trusts the patterns.

We scope rubrics during setup and train on the criteria you actually use. The fellow scores against the rubric, shows its reasoning, and flags edge cases for human judgment. Bias is a real risk in any AI screening tool — we recommend regular human audits of the fellow's screening pattern.

The fellow drafts questions, schedules calls, and summarizes; humans run the actual call for now. Voice-driven reference checks are on the roadmap.

Outreach is signed by humans. Screening responses are reviewed by humans. The fellow operates behind your hiring team rather than as a public-facing bot to candidates.

Bring on a Recruiting fellow.

Tell us about your roles. We will scope the fellow and have it in your Slack in about a week.