Megan

AI-powered recruiting assistant that helps teams streamline and scale hiring.

4.5 (6)

Reviewed by Daniel Nikulshyn·Updated May 2026

Recruiting HR Tech Automation AI Assistant Talent Acquisition Analytics Workflow

Overview

Megan is an AI hiring tool designed to help recruiters and talent teams move faster without sacrificing quality. It automates repetitive parts of the recruiting workflow, from sourcing and screening to candidate communication, so hiring managers can focus on evaluating people rather than processing applications. By applying AI to candidate matching and pipeline management, Megan aims to surface relevant talent quickly and keep hiring processes consistent as they scale. It's positioned for growing companies that need to handle higher volumes of applicants while maintaining a structured, data-informed approach to recruitment.

Key features

AI candidate sourcing and matching
Automated resume screening
Pipeline and workflow management
Candidate communication automation
Hiring analytics and insights

Pricing

Model: Free
Category: Recruiting
Rating: 4.5 / 5 (6)

Use cases

Scale high-volume applicant screening

Automatically screen and rank large numbers of resumes so recruiting teams can handle higher application volumes without adding headcount.

Source matched candidates faster

Use AI candidate matching to surface relevant talent for open roles, reducing the time recruiters spend on manual sourcing.

Standardize hiring across teams

Apply consistent screening criteria and pipeline workflows so growing companies maintain a structured process as hiring scales.

Automate candidate communication

Send timely updates and follow-ups to candidates automatically, improving response times and candidate experience throughout the pipeline.

Pros & Cons

Pros

Automates time-consuming recruiting tasks
Helps teams scale hiring volume
AI-driven candidate matching
Consistent screening process

Cons

May require tuning to match specific role criteria
AI screening can miss nuanced candidate strengths
Effectiveness depends on quality of input data

Reviews

4.5

Average from 6 ratings.

Leila Hassan

Use it every day

Honestly didn't expect to like it this much. AI candidate sourcing and matching is exactly what I needed, and aI-driven candidate matching. but I reach for it almost every day now and it just clicks.

Grace Okafor

Use it every day

Honestly didn't expect to like it this much. Hiring analytics and insights is exactly what I needed, and consistent screening process. I do wish may require tuning to match specific role criteria, but I reach for it almost every day now and it just clicks.

Linda Petersen

Use it every day

Honestly didn't expect to like it this much. AI candidate sourcing and matching is exactly what I needed, and aI-driven candidate matching. I do wish may require tuning to match specific role criteria, but I reach for it almost every day now and it just clicks.

Kwame Mensah

Years in this space

I've evaluated a lot of these over the years. What stands out here is aI candidate sourcing and matching — handled better than most — and aI-driven candidate matching. May require tuning to match specific role criteria is my one real gripe. Worth the time if this is your use case.

Hiroshi Tanaka

Solid for our team

We rolled this out across the team last quarter and aI-driven candidate matching. Hiring analytics and insights fits neatly into how we already work, and candidate communication automation removed a step we used to do by hand. May require tuning to match specific role criteria, which is the main caveat, but it has held up under daily use.

Naomi Suzuki

Does the job

Pretty happy overall. Pipeline and workflow management just works and helps teams scale hiring volume. May require tuning to match specific role criteria can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.