Greyhorse Clearinghouse Ltd, a subsidiary of Greyhorse Financial Corporations (New York) is a diversified, innovation-driven organization with Assets Under Management (AUM) exceeding $5.00 Billion across multiple institutional funds, private investment vehicles, and venture capital portfolios. Operating at the intersection of finance, technology, and human capital, Greyhorse is committed to building transformative businesses while advancing education, talent development, and sustainable growth across global markets.
As part of our strategic initiatives, Greyhorse is expanding its footprint in India’s academic ecosystem to foster elite talent pipelines and cultivate next-generation product innovators and technologists through our exclusive Greyhorse Fellowship Program.
About the Role
Greyhorse Ventures is seeking esteemed professors and academic leaders in India to join our network as Academic Advisors within our strategic fellowship and venture talent identification initiative. In this role, you will leverage your academic influence and technical expertise to identify and recommend exceptional students from engineering, technology, computer science, IT, and other technical disciplines to join the prestigious Greyhorse Fellowship.
Selected fellows will be trained and deployed to develop products and services for our venture division. Academic Advisors will be compensated exclusively on a performance and milestone basis, directly tied to the success and verified delivery of the referred candidates.
Key Responsibilities
- Strategically identify, evaluate, and recommend high-potential students in relevant technical fields who meet the rigorous standards of the Greyhorse Fellowship.
- Ensure all recommended candidates are academically, technically, and professionally aligned with the requirements of the program.
- Maintain high levels of engagement within your academic network to build a continuous pipeline of quality candidates.
- Provide timely and accurate reporting on referrals, qualification statuses, and candidate progress.
- Act as an ambassador of Greyhorse within the academic community, upholding the integrity and quality of the referral process.
Required Qualifications
- Master’s Degree or higher in Engineering, Computer Science, Information Technology, or related technical fields.
- Currently serving as a professor, lecturer, or academic coordinator at an accredited university or technical institution in India.
- Strong academic credibility and the ability to accurately assess student capabilities and potential.
- Demonstrated history of mentoring, guiding, or recommending students for external fellowships, projects, or industry collaborations.
Preferred Attributes
- Experience with applied research, industry partnerships, or venture-backed projects is highly desirable.
- Familiarity with product development, startup ecosystems, or innovation-focused academic programs.
- Strong existing relationships with high-performing student cohorts in technology and engineering streams.
Compensation Structure
- Deferred Equity: Eligible to earn deferred equity compensation of up to $25,000 USD equivalent per referral (vesting upon successful candidate delivery and program completion milestones).
- Annual Education Cash Voucher: Academic Advisors will also receive an Annual Education Cash Voucher of $2,500 USD, which can be used towards educational resources, professional development, or institutional initiatives.
- Milestone-Based Payments: All compensation is contingent upon the successful qualification, onboarding, and verified performance of referred candidates.
- Performance-Linked Model: There is no base salary; this role is fully tied to measurable programmatic outcomes.
Key Expectations
- Accuracy and Integrity: Any misrepresentation or falsified referral information will result in immediate disqualification from current and all future engagements.
- Commitment to Excellence: Only candidates who meet the highest academic and professional standards should be recommended.
- Compliance: All information submitted must be truthful, complete, and verifiable.
Job Type: Freelance
Pay: Up to ₹4,728,561.50 per year
Benefits:
- Paid time off
- Work from home
Supplemental Pay:
- Performance bonus
- Yearly bonus
Application Question(s):
- Our Organizational Infrastructure operates with a 93% Artificial Intelligence driven framework, necessitating a high degree of autonomy and self-direction with extremely minimal interaction. Are you aligned with this paradigm?
- This is a milestone-contingent role, with remuneration disbursed upon qualified Fellow's fulfillment of requisite conditions on delivery. Do you fully understand and accept these terms? Outline how you plan to consistently deliver on the required objectives?
- Please provide a brief overview of your background and experience relevant to this role. Why do you believe you are the right candidate for this position, and what specific value, skills, or strategic advantage would you bring to our organization?
Work Location: Remote