Full-Time

Venture Development Manager

Deadline 12/4/26
University of Chicago

University of Chicago

Compensation Overview

$95k - $125k/yr

Chicago, IL, USA

Hybrid

Three days on-site per week required.

Bachelor's, Master's

Category
Business & Strategy (2)
,
Required Skills
Data Science

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Requirements
  • A college or university degree in a related field.
  • Two to five years of work experience in a related job discipline.
Responsibilities
  • Assist in developing and maintaining relationships with venture capital, corporate, and other investment partners to create funding and strategic opportunities for faculty startups.
  • Work with faculty and researchers, the Venture Development Senior Director, and campus partners, including the Data Science Institute, to understand venture needs and identify potential resources.
  • Support faculty in evaluating research innovations, developing commercialization strategies, navigating venture creation, preparing for investor meetings and funding opportunities, and refining business plans and pitch decks.
  • Identify, engage, and coordinate a network of entrepreneurial talent, including mentors, to support faculty-led startups.
  • Coordinate with licensing, business development, and technical marketing teams to align efforts across the commercialization continuum.
  • Support operational venture development activities, including budget tracking, data collection, startup updates, and process improvements.
  • Monitor and communicate trends in venture capital and emerging technology sectors, providing actionable insights for faculty ventures and team strategies.
  • Maintain and analyze metrics tracking the progress and success of faculty ventures and external partnerships.
  • Solicit and evaluate inventions, materials, and software arising from research for intellectual property protection and commercial potential.
  • Apply knowledge of legal issues concerning patents, copyrights, and trademarks, including advising on patentability, infringement, and trademark validity.
  • Perform other related work as needed.
Desired Qualifications
  • An advanced degree in computer science, engineering, physics, materials science, chemistry, or a related discipline.
  • Knowledge and skills developed through work experience in technology commercialization, venture creation, and/or investments.
  • Experience launching, working at, or investing in early-stage science and deep technology startups, particularly artificial intelligence or data science startups.
  • Ability to assist in the creation and early growth of science-based faculty ventures.
  • Familiarity with the science startup venture landscape and operational support for early-stage startups, especially artificial intelligence, computer science, and physical science startups.
  • Ability to build rapport and credibility with faculty, researchers, and their labs.
  • Proficiency in addressing complex technical, legal, and business issues under the guidance of senior leadership.
  • Interpersonal, verbal, and written communication skills for engaging with internal and external stakeholders.
  • Adaptability and comfort with ambiguity in a continually evolving field.
  • Creative problem-solving skills to support faculty ventures and address day-to-day challenges.
  • Basic knowledge of intellectual property and the venture creation process, with willingness to grow expertise in these areas.
  • Background or familiarity with data science, artificial intelligence, quantum technology, or materials science.
University of Chicago

University of Chicago

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