hireEZ

Poshmark, a leading social commerce marketplace, was facing several challenges in its recruitment process. With a small team and limited bandwidth, the company was struggling to find a single, suitable tool that could accomplish multiple tasks. The company was also experiencing limitations with sourcing from LinkedIn alone and had difficulties in effectively engaging candidates, especially due to minimal access to accurate contact information. The company needed a platform that could help them bring in more qualified candidates quickly to keep up with business demands. They were looking for a solution that could help them source candidates for various positions on the engineering team, including Applications, Infrastructure, Security, Front-End, and Back-End Engineers.

IMVU, the world’s largest avatar-based social network, was facing challenges with its on-premises infrastructure which was limiting its capacity for advanced analytics. The company had been an early adopter of Apache Hadoop and Big Data technologies, but found it difficult to support and upgrade their 90-node Hadoop cluster and in-house built tooling. IMVU’s analysts lacked the tools to rapidly generate a range of business-critical reports on customer in-game behavior at scale. They were working with historical data in batches, which made analytics more complex and created multiple bottlenecks. Late reports resulted in inaccurate assumptions about customer in-game purchases, leading to slower sales and loss of profit. The analytics team also lacked a test environment to efficiently check analytics assumptions. The company sought to modernize their platform’s data architecture by introducing CI/CD, Infrastructure as Code (IaC), and other best practices, to achieve faster analytics iterations, better maintainability, and lower TCO.

DIVERSANT, the largest African American owned IT staffing firm in the U.S., specializes in helping organizations find direct hire candidates with specialized backgrounds in the IT space. However, they faced challenges in identifying candidates with niche skill sets. They used a variety of sourcing tools, job boards, referrals, and networking opportunities, but still struggled to find individuals with specialized backgrounds and hard-to-find areas of expertise. In 2019, DIVERSANT identified the need to invest in tools that would accelerate their ability to find qualified candidates and help clients support their hiring objectives. They conducted a vendor evaluation process to research additional solutions that could help.

Dynamic Search Group, a staffing and recruiting company based in Irvine, CA, was facing a significant challenge in sourcing fresh talent for their clients. The company primarily focuses on accounting and finance roles, ranging from CFO level to accounting clerks. However, they were struggling with a small candidate pool, primarily sourced from LinkedIn. The issue with this approach was that the same group of candidates was being selected and exhausted, as many recruiters were tapping into the same LinkedIn talent pool. Patricia Perez, Managing Partner at Dynamic Search Group, noted that the candidates were often overwhelmed due to the bombardment of recruitment companies reaching out to them. This situation led to the need for a more diverse and less saturated source of potential candidates.

FI Consulting, a firm known for its robust and complex portfolios, was facing a significant challenge in sourcing the right talent for their various roles. The firm required candidates who were not only technically proficient and analytical but also client-centric in their approach. The challenge was further amplified when a candidate for a critical role rescinded their offer just two days before their start date. This left the talent team in a difficult position, having to restart the sourcing process. The firm was also struggling to fill a role for a proposal writer, a position that had remained vacant for four months. The traditional sourcing methods were proving to be time-consuming and inefficient, often failing to deliver the depth and quality of candidates required by the firm.

First Entertainment Credit Union, a leading financial resource for members of the entertainment community, was facing a significant challenge in sourcing talent for specific niches. The credit union, which manages over $1.5 billion in assets and serves over 83,000 members, was struggling to find candidates with experience in specific technologies used by small banks and credit unions. The job market was tight, especially for technical or senior-level roles, and the Talent Acquisition Partner, Matthew Vandegrift, was the only professional handling these tasks. He was looking for a solution that would help him find more qualified candidates without having to spend a lot of time sourcing. The challenge was to find a software that could widen the net and help him find more qualified candidates.

SessionM, a rapidly growing customer engagement platform, was facing significant challenges in their talent acquisition process. The company was hiring across multiple functions and locations, and their lean Talent Acquisition team was struggling to keep up with the demand. The team was spending an excessive amount of time sourcing candidates, reviewing countless LinkedIn profiles, and struggling to find the right candidates for their specific needs. The traditional methods of sourcing based on job titles were proving to be inefficient as titles often varied across different companies. The team was in dire need of a solution that could help them source faster and better candidates, and they began exploring AI sourcing solutions.

Ubik, an outsourcing company that specializes in building tech teams, was facing a significant challenge in sourcing candidates quickly and efficiently. The company's CEO and founder, Mike Bysiek, who has a rich history of working with big names like Xerox, Johnson & Johnson, and American Express, realized the need for a tool that could expedite the process of finding suitable candidates. The challenge was not just about finding candidates, but finding the right ones that align with the business goals of the company. The traditional methods of sourcing were proving to be time-consuming and less efficient, which was a major hurdle in the smooth operation and growth of the company.

JANE, a recruitment firm, was grappling with the challenge of managing the diversity of roles and being proactive in passive sourcing. The recruitment industry demands attracting a high quantity of qualified profiles into a pipeline and then sending out personalized outreach to achieve high response rates. However, certain roles, such as software development, required passive sourcing. These candidates are often overwhelmed with recruitment offers, making it difficult for recruiters to achieve decent response rates. The tension was in being able to handle the diversity of roles while also being able to react and be proactive in passive sourcing.

Premier Search Inc., a professional staffing company, was facing a significant challenge in sourcing fresh candidates for their clients. The company, led by President and Executive Recruiter Mike Albanese, specializes in hiring the best outside sales representatives. However, they were struggling with the limitations of LinkedIn Recruiter. Despite using various search options, they kept encountering the same pool of candidates, which was limiting their ability to provide a diverse range of potential hires for their clients. The repetitive results from LinkedIn's algorithms were causing frustration and hindering the company's ability to meet its clients' staffing needs effectively.