Technology Category
- Analytics & Modeling - Machine Learning
- Infrastructure as a Service (IaaS) - Virtual Private Cloud
Applicable Industries
- Equipment & Machinery
- Oil & Gas
Applicable Functions
- Procurement
Use Cases
- Personnel Tracking & Monitoring
About The Customer
OneSignal is a San Mateo-based customer messaging and engagement platform that enables companies to build meaningful connections with their customers by sending time-optimized and personalized messages. Founded in 2015 by app developers, OneSignal simplifies and democratizes a wide range of tools for different development environments. The company places a higher focus on candidates’ actual capabilities rather than their educational backgrounds and welcomes unique perspectives brought by diverse experiences. Despite being a market-leading service, OneSignal was facing challenges in quickly developing an extensive talent pipeline of engaged and high-quality candidates.
The Challenge
OneSignal, a customer messaging and engagement platform, was facing a significant challenge in filling critical engineering roles. Despite being a market-leading service, the company struggled to develop an extensive talent pipeline of engaged and high-quality candidates. OneSignal's hiring approach focuses more on candidates' capabilities rather than their educational backgrounds, and they value the unique perspectives brought by diverse experiences. However, using popular professional networks and recruiting channels, they found it difficult to find suitable candidates that met their specific requirements.
The Solution
OneSignal partnered with Celential.ai, a company that offers an AI-driven, human-assisted Virtual Recruiter service. Celential.ai worked directly with OneSignal’s in-house recruiters to deliver a strong pipeline of engineering candidates with diverse educational backgrounds and experiences. Starting from the first week, Celential provided an active pipeline of qualified candidates. Within three months of the partnership, Celential helped OneSignal make four critical hires, including senior and staff level engineers. Additionally, Celential augmented OneSignal's own talent sourcing and outreach, contributing to a 65% increase in warm engineering candidates. This allowed recruiters to focus more on other important recruitment initiatives, leading to a higher return on investment.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Taking Oil and Gas Exploration to the Next Level
DownUnder GeoSolutions (DUG) wanted to increase computing performance by 5 to 10 times to improve seismic processing. The solution must build on current architecture software investments without sacrificing existing software and scale computing without scaling IT infrastructure costs.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.