Academic Partnerships Manager – AI for Science

Academic Partnerships Manager – AI for Science
Location: Boston
Type: Full-time
Compensation: $120K–$200K base + variable + equity
Company Description
Apevon.ai is an AI-native productivity company building intelligent tools for research and software development. The company’s products include Apevon Science, an AI-powered research platform that supports literature review, scientific coding, and research automation. Apevon.ai enables researchers, developers, and teams to use AI to work faster, explore ideas more deeply, and accelerate discovery. By focusing on practical, high-impact workflows, Apevon.ai helps organizations turn complex ideas into tangible outcomes with greater efficiency.
What You'll Do
Build partnerships with leading universities, research institutes, and laboratories.
Identify research groups and faculty who can become early users and champions.
Launch pilots and turn successful researcher adoption into institutional relationships.
Navigate grant-funded purchasing, university procurement, site licenses, and campus-wide agreements.
Build relationships across faculty, research computing, research administration, libraries, and university technology teams.
Partner closely with our scientists and product team to bring researcher feedback directly into the product.
Organize demos, workshops, academic events, and research collaborations.
Develop relationships with scientific communities, research consortiums, and key opinion leaders.
Help define our US academic go-to-market strategy from the ground up.
Who We're Looking For
You likely have 3+ years working across higher education, scientific software, research technology, academic partnerships, or research computing.
We're especially interested if you:
Understand how US universities evaluate and purchase research technology.
Have built relationships with professors, research groups, or research institutions.
Understand grant cycles, university procurement, site licenses, or institutional agreements.
Can navigate both scientific and administrative stakeholders.
Know how to build researcher adoption—not just sell software.
Are comfortable building a market from 0→1 without an established playbook.
Experience in scientific software, AI/ML, computational research, scientific publishing, research computing, or research technology is a strong plus.
An advanced scientific or technical degree is helpful, but not required.
Why This Role
AI is beginning to change how science gets done.
You'll work directly with researchers at leading institutions, help them bring AI into real scientific workflows, and shape how we build our academic ecosystem in the US.
You'll be one of the earliest members of our US team, with meaningful ownership over both strategy and execution.
If you understand how researchers adopt new tools—and know how to turn that adoption into lasting institutional partnerships—we'd love to talk.

Work arrangement
No