Cloud-Based Faculty Recruiting and Hiring Platform

Overview

Financial, Legal, HR & Staffing

Minneapolis, Minnesota, United StatesPosted 22 days agoDeadline: May 6th, 2026

Fit Score

Settle Intelligence

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SUMMARY

An RFI to assess cloud-based faculty recruiting and hiring platforms with AI features, candidate management, data confidentiality, and SSO integration.

KEY REQUIREMENTS

Must respond to the RFI online via the MBid tool
Must provide a customer reference list of at least three organizations similar in size and scope
Must comply with federal and state disability laws including ADA and WCAG 2.1 AA standards
Must provide a Voluntary Product Accessibility Template (VPAT) or equivalent
Must be able to integrate with existing HR systems
Must support SAML 2.0 Web Browser SSO Profile
Must agree to University of Minnesota terms and conditions or propose acceptable deviations
Must provide proof of insurance including Commercial General Liability, Automobile Liability, Workers Compensation, and Professional Liability

BUDGET

Estimate

$100,000 – $500,000

TIMELINE

Issue Date: April 15th, 2026

Questions Deadline: April 22nd, 2026

Response Deadline: May 6th, 2026

QUESTION DEADLINE

April 22nd, 2026

Issuing Agency

University Of Minnesota

Organization overview and procurement intelligence available on paid plans.

See Issuer Research

DESCRIPTION

This Request for Information seeks vendors capable of delivering a cloud-based platform for faculty recruiting and hiring. The primary goal is to evaluate the current landscape of specialized platforms designed specifically for faculty recruitment and hiring processes.

Vendors should demonstrate their capabilities in candidate management for faculty positions, including insights into the financial cost and business benefits of their solution. The platform must offer artificial intelligence features, outlining the type of data used to support these capabilities, and provide robust customization and configuration options.

Confidentiality is critical, with requirements to safeguard sensitive data such as EEO/AA information, confidential reference letters, and internal committee notes. End-user authentication must include support for the SAML 2.0 web browser SSO profile. Proposed solutions may be cloud-based, on-premise (university-hosted), or a hybrid approach.

Source attribution

This Settle analysis is based on the issuing organization’s public RFP listing.