Juniper Square is a company focused on unlocking the potential of private markets through technology. They are seeking an experienced product manager to transform fund administration in the private markets by developing AI-native digital experiences and managing the product lifecycle from roadmap definition to execution.
Responsibilities:
- Entrepreneurially define how AI will transform back-office fund administration operations, both internally and externally, 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
Requirements:
- 5+ years of end‑to‑end product ownership in B2B SaaS or fintech, shipping data‑intensive, workflow‑heavy products to internal teams and external clients
- Demonstrated autonomy: able to set vision, build roadmaps, define KPIs, and execute with minimal guidance while coordinating engineers, data scientists, designers, and accountants
- Strong technical foundation (CS, Engineering, Math, or equivalent practical experience)
- Proven track record of iterative delivery: rapid discovery, hypothesis‑driven experimentation, and tight feedback loops that improve user experience, efficiency, and gross margins
- User‑experience mindset: skilled at distilling complex back‑office processes into intuitive UIs that reduce cognitive load and error rates
- Hands‑on experience in private‑markets fund administration, fund accounting, or investment operations (e.g., PE/VC, credit, real‑estate)
- Fluency with accounting concepts and data models; comfortable interviewing fund accountants, mapping their workflows, and translating edge‑case logic into product requirements
- Applied AI background: shipped products that leverage, or an understanding of, LLMs, classification models, or agent‑based automations to replace manual work
- Familiarity with fund accounting platforms (Investran, eFront, Allvue, etc.) and their data structures, or with general‑ledger / ERP integrations
- Experience driving process re‑engineering or change‑management programs that boost adoption of newly launched internal or customer‑facing tools