Aumni – Product Manager, Data & AI - VP

At Aumni, our Product team is on a mission to help all venture capital firms and LPs achieve peak performance with data-driven insights. We design and deliver a suite of investment tracking, portfolio monitoring, and data analytics tools that help investors make faster, smarter decisions.

Job Summary

As a Product Manager at Aumni, you will

• Build and maintain a product roadmap focused on AI and Data Science solutions that aligns with business goals and customer needs
• Conduct user interviews and collaborate with customer-facing teams to gain customer insight
• Prioritize user needs, test ideas, and turn them into effective solutions with strong product sense and attention to detail
• Become an expert in Aumni’s data models
• Understand different areas of the broader firm to create solutions for other divisions to leverage Aumni data
• Work with the Data Science organization to develop new backend solutions and integrate them into the customer-facing product
• Collaborate and present complex technical information in a clear and concise manner to a variety of audiences
• Work closely with engineering, design, and marketing to drive product development and ensure successful launches
• Collaborate with Product Marketing on driving GTM strategy
• Develop a deep understanding of Venture Capital and Private Markets

Required qualification, capabilities, and skills

• 5+ years of experience as a Product Manager
• Experience in leading development teams applying agile product development methodologies
• Strong product management ground game including product strategy, road mapping, managing a backlog, writing user stories, communicating product requirements to engineers
• Deep understanding of AI/ML technologies, frameworks, and tools
• Technical experience bringing APIs and data solutions to market
• Strong communication skills and ability to collaborate with stakeholders, team members, and executive leadership
• Using common design tools like Figma and the ability to communicate low fidelity ideas using them (check out our stack)

Preferred qualifications, capabilities, and skills

• Prior experience building data and analytics products, or working with LLMs
• Experience with the venture capital or financial industry and its ecosystem
• Experience with outcome-driven innovation process and jobs to be done theory