AI Product Manager

Liquidity Group is the largest tech-enhanced financial asset management firm in the world. With $2.5B AUM across funds focused on North America, Asia-Pacific, Europe, and the Middle East, Liquidity Group operates globally with offices in Tel-Aviv, Abu Dhabi, New York, London and Singapore.

The firm’s patented machine learning and decision science technology enables it to deploy more capital through more deals faster than any firm in capital markets history, establishing it as the fastest-growing provider of non-dilutive and equity financing to mid-market and late-stage companies. Liquidity Group is backed by leading global financial institutions including Japan’s largest bank, MUFG, Spark Capital, and KeyBank Asset Management.

Liquidity Group offers a dynamic and fast-paced work environment. With an open-door policy and a commitment to high standards, the company is growing rapidly and seeks team members who aspire to grow alongside it.

About the Role:

As an AI Product Manager, you will lead the development of our AI-powered credit & equity investment platform. You will coordinate between R&D and business needs, show leadership in dynamic environments making sure innovation meets execution. With an analytical mind and people-oriented approach, you will practice technical expertise and business acumen. If you are passionate about data, AI, finance and you are ready to revolutionize capital markets, we want you on board.

Responsibilities:

• Own the product lifecycle end-to-end, from ideation to execution and beyond.
• Define the vision and roadmap for your products, aligning with organizational goals.
• Partner with R&D, Data Science and Business to ensure seamless, high-quality, and timely product releases.
• Write detailed requirements and specifications, ensuring alignment with business needs while driving agile development cycles.
• Gather and analyze user feedback, stakeholder input, and market trends to inform product features and enhancements.

Requirements:

• 5+ years in product management for machine learning or AI products.
• Skilled at engaging with clients to understand their needs and deliver impactful solutions.
• Hands-On Approach & Proven ability to manage releases, solve problems, and drive results with a proactive, accountable mindset.
• Strong analytical skills to interpret complex datasets and deliver actionable insights.
• Experience in building products that deliver data-driven insights to end users.
• Bachelor’s degree in Economics, Engineering, Sciences (Math, Physics, etc.), Statistics, or a related field. An advantage
• Knowledge in financial markets and economic- An advantage
• Strong communication skills and English proficiency