How to Hire a Performance Marketing Manager with an AI-Powered Resume Screening Software?

Introduction

In today’s fast-paced digital marketing landscape, the role of a Performance Marketing Manager has become indispensable. These professionals drive revenue growth by executing data-driven marketing campaigns, managing budgets across various digital channels, and continuously optimizing strategies for maximum return on investment. However, finding the right candidate for this role can be challenging due to the highly specific skills and experience required.

In this article, we’ll share how one of our clients streamlined their hiring process for a Performance Marketing Manager, saving up to 20 hours on resume screening and 7 days in time-to-hire by leveraging Brainner, an AI-powered resume screening tool.

Importing Job and Customizing Criteria

The talent acquisition team collaborated with the hiring manager to clearly define the skills and experience needed for the Performance Marketing Manager role. With Brainner’s advanced tools, they imported the job description to generate a preliminary set of criteria. The hiring manager and recruiters then customized and refined these criteria to fit their specific needs, assigning weights to prioritize mandatory over preferred requirements.

This collaborative process ensured both teams were aligned from the start, setting a strong foundation for finding the right candidate.

Analyzing Results

As applicants submitted their resumes through the company’s ATS (Greenhouse), Brainner began analyzing profiles in real time. The platform evaluated each candidate against the predefined criteria, helping the team quickly identify those who met the mandatory requirements.

For this role, only a small percentage of applicants met all the essential criteria, and fewer still achieved scores above 80%. This allowed the recruitment team to focus their energy on reviewing the top-performing candidates, avoiding the inefficiency of sifting through hundreds of irrelevant resumes.

Brainner’s platform provided the team with a comprehensive view of each shortlisted candidate, including:

• The candidate’s resume
• AI-generated criteria reports
• Responses to pre-application questions
• Tags and notes
• The candidate’s status in other open positions within the company

Making Decisions

Once the team had a clear shortlist, they used Brainner to make informed decisions. From the platform, recruiters could easily archive candidates who didn’t meet the criteria or advance promising candidates, with all updates automatically synced to the ATS.

This seamless workflow not only saved time but also ensured transparency and consistency throughout the hiring process. Additionally, the bulk archive feature enabled the team to efficiently eliminate unqualified candidates in just a few clicks.

Ending

By using Brainner, the company turned a manual, time-intensive process into an efficient, data-driven workflow. Within just 10-15% of the usual time, they achieved:

• A clear alignment between recruiters and the hiring manager
• A fully documented process with detailed insights for future reference
• A human-centric approach that prioritized quality while leveraging AI for speed

Brainner’s solution empowered the team to focus on what matters most: building meaningful connections with the most qualified candidates and driving the hiring process forward.