AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Springboard Tech Stack and Enterprise Applications

Springboard ERP
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Stripe Legacy Stripe Payments Payment Processing ERP n/a 2020 2020
In 2020, Springboard implemented Stripe Payments on its public website to process customer transactions. The deployment positions Stripe Payments as the primary Payment Processing gateway for online checkout and billing flows, handling card authorization, tokenization, and settlement for website-driven purchases. Configuration work focused on embedding Stripe Payments checkout into the consumer web experience, reducing PCI scope through hosted payment elements and implementing server side webhook event handling for asynchronous transaction state changes. Functional capabilities implemented include payment authorization, tokenization of card data, fraud screening leveraging Stripe services, and reporting for settlement and reconciliation. Operational coverage centers on customer facing web transactions and the finance and operations functions that reconcile receipts and settlements, with developer ownership of the frontend integration and backend webhook processing. Governance measures described align with standard payment operations, including transaction monitoring, dispute handling workflows, and control of card acceptance rules through Stripe Payments configuration.
Springboard HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Employ Legacy Lever by Employ Applicant Tracking System HCM n/a 2021 2021
In 2021, Springboard implemented Lever by Employ as its Applicant Tracking System. The deployment centers on embedding Lever by Employ into Springboard's public careers pages, capturing candidate applications directly through the website and routing them into Lever by Employ for downstream processing. Configuration work focused on standard Applicant Tracking System capabilities, including requisition management, configurable candidate pipelines, interview scheduling and feedback collection, and offer workflow orchestration. Springboard configured role based access controls and approval routing to align hiring managers and recruiting teams with staged interview stages and decision gates. The implementation follows a cloud hosted SaaS model with the careers site integration serving as the primary ingestion point for external applicants. Operational scope covers talent acquisition and recruiting teams, with governance implemented through centralized hiring workflows, standardized pipeline stages, and permissions to enforce consistent intake and evaluation practices across the organization.
Applicant Tracking System HCM 2021 2021
Interview Scheduling HCM 2021 2021
Springboard AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Google Legacy Google BigQuery ML ML and Data Science Platforms AI Development n/a 2018 2018
In 2018, Springboard implemented Google BigQuery ML to perform predictive analysis on the Stack Overflow real-world dataset, deploying the solution as part of its ML and analytics capability set. Google BigQuery ML was used to run in-database model training and predictive queries directly against the Stack Overflow dataset, keeping data and model artifacts inside the BigQuery environment. The implementation leveraged Google BigQuery ML functionality for SQL-based model creation, iterative model evaluation, and in-place feature engineering, consistent with ML and Data Science Platforms workflows. Teams used BigQuery ML model types and evaluation routines to prototype classification and regression experiments, and they persisted models in BigQuery for repeatable scoring and batch prediction. Operationally the work centered on the data science and analytics organization, with the Stack Overflow real-world dataset ingested into Google BigQuery as the primary data source. Data ingestion and transformation workflows were implemented as SQL pipelines inside BigQuery, enabling analysts to run predictive analysis without moving large volumes of data out of the platform. Governance was structured around BigQuery dataset access controls and SQL-based model lifecycle practices, enabling controlled experimentation and model versioning within the Google Cloud environment. The narrative emphasizes Springboard Google BigQuery ML implementation within the ML and Data Science Platforms category, and highlights architecture choices that kept modeling, feature engineering, and prediction tightly coupled to the BigQuery data warehouse.
Springboard AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Chatbots and Conversational AI AI-Powered Application 2020 2020
Springboard Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Collaboration Collaboration 2020 2020
Collaboration Collaboration 2011 2011
Survey and Questionnaire Collaboration 2018 2018
Springboard Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Digital Signing Content Management 2022 2022
Springboard CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
CRM CRM 2018 2018
Customer Data Platform CRM 2018 2018
Customer Experience CRM 2018 2018
Customer Support CRM 2020 2020
Digital Advertising Platform CRM 2015 2015
Digital Advertising Platform CRM 2017 2017
Digital Advertising Platform CRM 2020 2020
Marketing Analytics CRM 2015 2015
Marketing Analytics CRM 2015 2015
Marketing Analytics CRM 2016 2016
Marketing Analytics CRM 2016 2016
Marketing Analytics CRM 2018 2018
Marketing Automation CRM 2016 2016
Marketing Automation CRM 2021 2021
Marketing Automation CRM 2020 2020
Marketing Automation CRM 2020 2020
Sales Automation, CRM, Sales Engagement CRM 2021 2021
Springboard ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
IT Service Management ITSM 2020 2020
Springboard PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
API Management, iPaaS (Integration Platform as a Service) PaaS 2022 2022
Transactional Email PaaS 2015 2015
Transactional Email PaaS 2015 2015
Transactional Email PaaS 2020 2020
Springboard IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2012 2012
Content Delivery Network IaaS 2020 2020
Content Delivery Network IaaS 2015 2015

IT Decision Makers and Key Stakeholders at Springboard

First Name Last Name Title Function Department Email Phone
Customer Success & People Director Director Customer Service
Chief Operations Officer CXO Finance
Marketing and Insights Director Director Marketing

Apps Being Evaluated by Springboard Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Springboard IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Springboard digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Springboard Technographics
Springboard is a Professional Services organization based in United States, with around 3000 employees and annual revenues of $600.0 million.
Springboard operates a diverse technology stack with applications such as Stripe Payments, Lever by Employ and Google BigQuery ML, covering areas like Payment Processing, Applicant Tracking System and ML and Data Science Platforms.
Springboard has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Stripe, Employ and Google.
Springboard recently adopted applications including DocuSign eSignature in 2022, Zapier Automation Platform in 2022 and Lever by Employ in 2021, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Springboard’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Springboard’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete Springboard technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.