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Assistant or Associate Professor in Marketing

Job in Boulder, Boulder County, Colorado, 80301, USA
Listing for: University of Colorado Boulder
Full Time position
Listed on 2026-09-15
Job specializations:
  • Education / Teaching
    University Professor, Academic
Salary/Wage Range or Industry Benchmark: 235000 - 255000 USD Yearly USD 235000.00 255000.00 YEAR
Job Description & How to Apply Below

Job Summary

The Leeds School of Business at the University of Colorado Boulder is hiring one tenure-track, Assistant or Associate Professor position in Marketing for Fall 2027. We are seeking candidates at the advanced assistant professor or early-stage associate professor level (i.e., without tenure or with tenure recently granted). We are primarily seeking a researcher with expertise in empirical quantitative methods. While not required, we have a particular interest in candidates with research expertise in marketing applications of artificial intelligence (AI) and machine learning (ML).

Candidates with research expertise in all substantive areas of marketing will be considered. CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.

Who

We Are

The University of Colorado Boulder, and the city of Boulder, offers a rich intellectual, cultural, recreational, and family-friendly environment. Boulder is widely recognized as an entrepreneurial hub, with active venture capital, technology, natural foods, and renewable energy sectors; it is consistently recognized as one of the best places to live in the United States. The economy of the Front Range of Colorado is strong, and private support for the University and the Leeds School is increasing steadily.

The University of Colorado and the Leeds School of Business are nationally recognized for the excellence of our faculty, programs, and students. By joining the Marketing Division, you will be part of a collegial and productive group of scholars with the highest standards of research and teaching excellence.

What Your

Key Responsibilities Will Be
  • Research – publication in leading journals in marketing and related fields
  • Teaching – 3 courses annually
  • Service – to the Marketing Division, Leeds School, University and profession
What We Can Offer

The approved line for this position is for an Assistant or Associate Professor, with the following salary ranges:

  • Assistant Professor: $205,000–$233,000
  • Associate Professor: $235,000–$255,000
  • Additional benefits include allowances for relocation expenses, a FDA (faculty discretionary account) and guaranteed summer research support.
Benefits

At the University of Colorado Boulder, we are committed to supporting the holistic health and well-being of our employees. Our comprehensive benefits package includes medical, dental, and retirement plans; generous paid time off; tuition assistance for you and your dependents; and an ECO Pass for local transit. As one of Boulder County’s largest employers, CU Boulder offers an inspiring academic community and access to world-class outdoor recreation.

Explore additional perks and programs through the CU Advantage program.

Be Statements

Be ambitious.

Be pioneering.

Be Boulder.

What We Require
  • Hold a PhD from an accredited institution in Marketing or related field.
  • Have demonstrated superior accomplishments in their current appointments, including scholarly research, teaching ability, and effective interaction with faculty colleagues, students and external constituents.
  • Have an established and growing record of research productivity and professional visibility, with a clear trajectory toward continued impact in the field.
  • Demonstrate a substantially quantitative, empirical modeling research orientation to study marketing phenomena, using methods drawn from the fields of economics, statistics +/or computer science.
Position Requirements
10+ Years work experience
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