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Mr. Simon

Hire your needle in a haystack
0.0 (0)
New Jersey, United States
2-10 employees

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Company Description

Mr. Simon is an AI-powered hiring and interview-prep platform that helps employers quickly identify top candidates while giving job seekers a practical way to build confidence and improve their performance. Built by Teammate.Exec and launched in 2019, the product focuses on the most time-consuming parts of recruiting—screening, evaluating, and shortlisting—so teams can move from hundreds of applicants to a trusted, prioritized slate in days, not weeks. For employers, Mr. Simon generates role-aligned resume scoring criteria from your job description, allows you to modify and prioritize them, and delivers a detailed quantitative and qualitative breakdown per candidate, including highlights, unique attributes, and automatic detection of AI-generated resume copy. Its AI interview module creates tailored questions, supports video or audio-only responses, and produces scored, narrative feedback that explains the rationale behind each rating. A comprehensive candidate scorecard compiles essential profile data (experience, education, location, companies, years), unifies resume and interview insights, and presents a ranked view of likelihood of success, balancing strengths and areas of concern. Designed to scale fairly and consistently, the experience aims to give every real candidate a fair shot while delivering trusted insights to hiring teams. Mr. Simon integrates with Lever ATS and offers flexible plans—Core ($99/month) and Pro ($249/month) with email and Slack support, plus a Custom tier with SSO and custom features—each with unlimited users and defined job/candidate volumes. For job seekers, the free AI career coach provides instant, actionable feedback on key strengths, improvement areas, and tailored examples, helping candidates sharpen their message and reduce interview anxiety with on-demand practice. Co-founded by CEO/Product lead Natalie Lihacova and CTO Andrew Grishin in Pittsburgh, Mr. Simon exists to let machines handle the routine so recruiters can spend more time building relationships with the right talent.

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