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Assistant Professor, Marketing & Business Analytics - Marketing

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: The California State University
Full Time position
Listed on 2026-10-05
Job specializations:
  • Education / Teaching
    University Professor
Salary/Wage Range or Industry Benchmark: 135000 - 141750 USD Yearly USD 135000.00 141750.00 YEAR
Job Description & How to Apply Below

Position Rank and

Title:

Assistant Professor of Marketing

School/Department Name: Marketing and Business Analytics

Compensation: Commensurate with qualifications, experience, and rank as established by the CSU Salary Schedule. Anticipated hiring academic year annual salary range: $135,000 - $141,750.

Faculty employee benefits are very competitive for the higher education sector. See the CSU Employee Benefits Summary for details about the CSU’s excellent benefits package.

Target

Start Date:

August 17, 2027

Final date to receive applications: October 30, 2026 (Applications accepted until filled or closed)

Position Description

The Marketing and Business Analytics Department at San José State University is pleased to announce a search for a tenure-track faculty position in Marketing at the Assistant Professor level. Applicants should be interested in teaching AI-based Marketing courses, such as Marketing Automation, Digital Marketing with AI, AI-Driven Customer Insights, and AI in Marketing Analytics, as well as traditional Marketing courses such as Marketing Management, Marketing Analytics, New Product Development, and International Marketing.

Applicants ideally should have research that is related to AI-based Marketing. Teaching will be at the undergraduate and Masters level. The Department is home to a large community of scholars and students. We foster strong ties to the Silicon Valley business community. We have top level Silicon Valley executives teach and engage with our students, and have student teams actively pursuing projects with Silicon Valley companies.

We are a balanced Department, and are searching for candidates who share our dedication to both quality teaching and research. We teach courses at both the undergraduate and Masters levels. Our research includes analytical, behavioral, strategic, and applied methodologies and interests. For more information, visit our website.

Required Qualifications
  • A doctorate from an accredited university. A doctoral degree must be fully awarded by the date of appointment in order to start, but preferably by May 31, 2027.
  • Evidence of teaching excellence or potential for teaching excellence.
  • Demonstrated record of, or potential for, scholarly publications and the development of a strong scholarly record commensurate with rank and suitable for advancement.
  • Interest in engaging with Silicon Valley professionals and connecting our students – largely first generation, economically diverse, and multicultural – to the business community.
  • Evidence of awareness and sensitivity to the educational goals of a socially and economically diverse student population as might have been gained in cross-cultural study, training, teaching, and other comparable experience.
Preferred Qualifications

Candidates whose research focus is AI marketing will be given priority.

Key Responsibilities
  • Teaching Marketing courses with an emphasis on AI and Automation – for example, AI-Based Marketing, Marketing Automation, Digital Marketing with AI, AI-Driven Customer Insights, AI in Marketing Analytics, and AI applications in Marketing. Teaching assignments are at both the undergraduate and graduate levels in traditional and accelerated formats.
  • Engaging in scholarly activities as evidenced by developing and maintaining an active research agenda in peer reviewed high-quality journals and by presenting at academic and professional conferences.
  • The candidate will participate in shared governance, usually in department, college, and university committees and other service assignments.
  • Faculty shall organize all their classes within the Canvas Learning Management System (LMS).
  • The candidate must demonstrate awareness and experience in understanding the needs of a student population of great…
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