Product Manager, AI for Private Markets

Employment Type: Full-Time Location Type: Remote Salary: Not Specified

About Juniper Square

Our mission is to unlock the full potential of private markets. Privately owned assets like commercial real estate, private equity, and venture capital make up half of our financial ecosystem yet remain inaccessible to most people. We are digitizing these markets, and as a result, bringing efficiency, transparency, and access to one of the most productive corners of our financial ecosystem. If you care about making the world a better place by making markets work better through technology – all while contributing as a member of a values-driven organization – we want to hear from you.

Juniper Square offers employees a variety of ways to work, ranging from a fully remote experience to working full-time in one of our physical offices. We invest heavily in digital-first operations, allowing our teams to collaborate effectively across 27 U.S. states, 2 Canadian Provinces, India, Luxembourg, and England. We also have physical offices in San Francisco, New York City, and Bangalore for employees who prefer to work in an office some or all of the time.

About Your Role

Juniper Square’s platform is used by customers throughout the lifecycle of an investment and investors: from marketing offerings and soliciting leads, digital signing of contracts and terms, reporting on investment financials performance and recording transactions.

We’re looking for an experienced product manager to transform investment fund administration in the private markets. You’ll join our growing team to bring manual offline workflows into AI-native digital experiences. In this role, you will develop a deep understanding of our customers, their business problems, and their workflows as well as the dynamics at play within private markets. You will leverage these insights to drive the full product lifecycle from high-level roadmap definition and stakeholder alignment all the way through execution, GTM, and delivery of value to customers. You will be among the first product managers in the industry to bring AI to the private markets.

We are a highly collaborative team, and you will be working very closely with senior leadership, product managers, customers, customer success, sales, engineers, and designers throughout the phases of software development.

This role would benefit from in-person collaboration in San Francisco, where many of our product management, design, and engineering personnel are based, although we also welcome exceptional candidates from elsewhere in the United States and Canada. Our ideal candidate would be able to collaborate with colleagues in our San Francisco office 2-3 times per week.

What You'll Do

• Entrepreneurially define how AI will transform back-office operations for private investment funds.
• Develop your roadmap by balancing competing needs between features, stability, and performance.
• Develop deep empathy for the needs and pain points of our customers and our internal teams, by close collaboration with colleagues from our fund accounting, investor services, product, and go-to-market teams as well as customers themselves.
• Ship features and improvements frequently and iteratively, planning projects, documenting requirements, and motivating those building solutions with an understanding of the “why” and the “what” to inspire their ownership of the “how”.
• Work cross-functionally with our fund accounting and investor services teams to roll out new capabilities and drive adoption.

Qualifications

• 5+ years of experience in a technical product management role.
• Fund administration or other private markets investing experience would be a plus but is not required.
• Bachelor’s degree in a technical or quantitative field, or equivalent schooling or training.
• Demonstrated ability to define and ship complex, technical products in an iterative, agile manner.
• Comfort working with a range of levels, from envisioning entirely new products to mastering details and edge cases.
• Experience developing AI systems.