Higher Education

Bridge Education to Employment. Protect the Faculty Pipeline.

One platform for the two challenges higher education cannot solve separately: connecting students to employers through skills intelligence, and forecasting the faculty retirement wave before it breaks.

Bridge Education to Employment. Protect the Faculty Pipeline.

Industry Overview

Workforce Intelligence for the Entire Institution

Higher education faces a dual crisis. Students graduate with skills but no clear path to the employers who need them. Career centers are overwhelmed, manually matching students to opportunities. Meanwhile, 30% of tenured faculty will retire within a decade, 70% of the workforce is contingent, and institutions compete with industry for doctoral talent at a fraction of the compensation.

The cost of getting workforce decisions wrong compounds differently in higher education. A department that loses two senior faculty in the same year loses accreditation-critical credentials, grant pipelines, and institutional knowledge that took decades to build. A career center that cannot prove placement outcomes loses enrollment pipeline and donor confidence.

The platform connects career services, faculty affairs, credentialing, and institutional research into one intelligence layer. Student-to-employer matching, retirement wave modeling, succession readiness scoring, and credential compliance monitoring work together so academic leadership acts on evidence, not anecdote.

Workforce Intelligence for the Entire Institution
Meg

Faculty, staff, and students. One intelligence layer.

From tenure-track retention to research talent pipelines, ask Meg about the people powering your institution.

Common prompts (click to see!)

MegMeg AI
Which of our tenure-track faculty are most at risk of leaving for industry or another university?
Meg

Faculty Flight Risk — Tenure-Track

Faculty MemberRisk Level
Dr. Amara Osei — Computer Science92/100 — Critical
Dr. James Whitaker — Biomedical Eng.84/100 — High
Dr. Lena Petrova — Economics71/100 — Elevated
Dr. Michael Tan — Data Science68/100 — Moderate
Dr. Osei received a named professorship offer from a top-10 CS department last month. Her startup lab funding runs out in 8 months and the internal grant cycle is not until next fall — she sees no path to continuity here. Dr. Whitaker has had 3 industry inquiries from biotech firms offering 2.5x his current compensation.

Retention Recommendations

1

Dr. Osei: bridge funding + endowed chair conversation

She wants to stay but needs a signal. $120K in bridge funding and a path to the endowed chair in Year 3 would close the deal.

2

Dr. Whitaker: negotiate an industry-partnership arrangement

He does not want to leave academia entirely. A joint appointment or consulting arrangement with one of the biotech firms keeps him engaged.

Student Outcomes

Connect Students to Employers Through Skills Intelligence

AI-powered matching replaces manual job-board hunting. Students get personalized opportunity feeds based on verified skills and career goals. Career centers prove placement outcomes with data, not surveys.

Career centers are spending hours searching job boards, manually matching students to openings, and tracking outcomes on spreadsheets. Students apply to dozens of positions with generic resumes, getting lost in ATS black holes. Professional.me replaces this with AI-powered matching that connects students to opportunities based on their actual skills, not just keywords.

The platform builds comprehensive student profiles that go beyond basic resumes. Automated skill extraction from coursework, projects, and extracurriculars creates evidence-based profiles. Standardized competency mapping aligns with industry frameworks. Portfolio integration showcases real work, not just grades. Employers see verified capabilities, not self-reported claims.

Faculty Pipeline & Compliance

Forecast Retirements. Monitor Credentials. Protect Accreditation.

The platform projects retirement eligibility across 1, 3, 5, and 10-year windows by department, rank, and credential type. Monitors every faculty credential against every accreditation requirement continuously.

Most institutions know retirements are coming in aggregate. Few can answer which specific departures will create accreditation risk, which will strand active grants, and which will leave graduate programs without qualified dissertation advisors. The platform connects faculty age and service data with accreditation requirements, grant portfolios, and mentorship loads to quantify each projected retirement's impact.

AACSB, ABET, CCNE, and dozens of specialized accreditors each define faculty qualification requirements differently. The platform maps every faculty member's qualifications against every program's requirements and alerts when coverage drops below thresholds. When a qualified faculty member retires, transfers, or reduces load, the system immediately recalculates program-level coverage and flags risk.

Why Higher Education Is Different

Workforce Challenges That Corporate HR Tools Were Not Designed For

Shared governance, tenure systems, accreditation credential requirements, student placement outcomes, and the blended workforce of tenured faculty, contingent instructors, and staff create dynamics no standard HRIS was built to handle.

Built for Academic Workforce Reality

Higher education workforce decisions involve shared governance, faculty senate input, accreditation constraints, and institutional traditions that make corporate playbooks useless. The platform provides the evidence layer that academic leaders need to navigate their own governance structures with data instead of intuition. When a dean argues for a new faculty line, the platform shows retirement projections, accreditation coverage gaps, enrollment trend data, and the cost of continued adjunct reliance. When a career center director needs to prove ROI, the platform shows placement rates, time-to-employment, and skills alignment by program.


Faculty Retiring Within 10 Years
~30%
Workforce That Is Contingent
70%
Average Faculty Search Duration
9-14 mo
Accreditation Frameworks Supported
15+

What Our Clients Say

Trusted by teams in this industry

★★★★★

Professional.me sets a new benchmark in AI-powered global talent platforms. The focus on competency-based matching, video-first vetting, and broad industry validation demonstrate true innovation and impact.

Stevie Awards Judge

Technology Excellence Awards

★★★★★

Compelling vision for using AI in recruiting. Insightful entry and great supporting documentation.

Stevie Awards Judge

Technology Excellence Awards

★★★★★

A fresh take on AI in talent management. The proprietary infrastructure, built from the ground up, clearly sets it apart. The emphasis on real-time data enrichment and skill-task mapping demonstrates a serious commitment to fairness and technical rigor.

Stevie Awards Judge

Technology Excellence Awards

★★★★★

The platform is clear and easy to use. The time savings are the most valuable aspect, and the ability to customize hiring criteria makes it genuinely interesting.

HR Team

Industrial Manufacturing, Germany

★★★★★

We placed 3 candidates in a month. Saved nearly $50K in agency fees.

Hiring Manager

Deep Tech Research, Abu Dhabi

★★★★★

In a startup, your first hires can make or break you. We created a job spec and the platform handled the rest -I interviewed that evening, made an offer the next day, and haven't looked back. As we scale, all of our future hires will go through Professional.me.

Founder

Health Tech Startup, Abu Dhabi

★★★★★

Professional.me sets a new benchmark in AI-powered global talent platforms. The focus on competency-based matching, video-first vetting, and broad industry validation demonstrate true innovation and impact.

Stevie Awards Judge

Technology Excellence Awards

★★★★★

Compelling vision for using AI in recruiting. Insightful entry and great supporting documentation.

Stevie Awards Judge

Technology Excellence Awards

★★★★★

A fresh take on AI in talent management. The proprietary infrastructure, built from the ground up, clearly sets it apart. The emphasis on real-time data enrichment and skill-task mapping demonstrates a serious commitment to fairness and technical rigor.

Stevie Awards Judge

Technology Excellence Awards

★★★★★

The platform is clear and easy to use. The time savings are the most valuable aspect, and the ability to customize hiring criteria makes it genuinely interesting.

HR Team

Industrial Manufacturing, Germany

★★★★★

We placed 3 candidates in a month. Saved nearly $50K in agency fees.

Hiring Manager

Deep Tech Research, Abu Dhabi

★★★★★

In a startup, your first hires can make or break you. We created a job spec and the platform handled the rest -I interviewed that evening, made an offer the next day, and haven't looked back. As we scale, all of our future hires will go through Professional.me.

Founder

Health Tech Startup, Abu Dhabi

Common Questions

What Academic Leaders Ask First

Direct answers from provosts, deans, career services directors, and institutional research teams evaluating workforce intelligence for higher education.

Does the platform understand shared governance and tenure systems?
Yes. The platform does not make hiring or promotion decisions. It provides evidence to inform them. Tenure clocks, faculty ranks, governance approval workflows, and senate review processes are modeled as constraints, not bypassed.
How does student-to-employer matching work?
The platform extracts verified skills from coursework, projects, and extracurriculars to build comprehensive student profiles. AI matches students to job openings, internships, and graduate programs based on actual capabilities, not keyword matching. Employers see evidence-based profiles, not self-reported resumes.
Which higher education systems does it integrate with?
Pre-built connectors for Workday, Banner, PeopleSoft, Ellucian, and Interfolio. Faculty activity reporting integrates with Digital Measures and Watermark. Student information systems and LMS platforms connect for skills extraction. Custom connectors via REST API.
Can the platform track faculty qualifications across multiple accreditation frameworks?
Yes. A single faculty member can be mapped against AACSB, ABET, HLC, and specialized accreditor requirements simultaneously. The system tracks terminal degrees, scholarly activity, professional certifications, and practitioner experience per framework.
Is student data handled in compliance with FERPA and GDPR?
Yes. All student data is processed in compliance with FERPA, GDPR, and applicable data protection regulations. Enterprise-grade encryption, role-based access controls, and we never sell personal data to third parties.
How does internal mobility work across a multi-campus university system?
Normalizes faculty profiles across campuses with different HRIS instances, rank structures, and compensation models. Cross-campus matching surfaces candidates for visiting appointments, joint hires, and permanent transfers.
Higher Education

Your Students Deserve Better Outcomes. Your Faculty Pipeline Cannot Wait.

See how the platform matches students to employers through skills intelligence, forecasts faculty retirement waves, and gives your institution the workforce evidence that boards, accreditors, and donors want to see.