OVERVIEW OF 73 STRINGS:

73 Strings is an innovative platform providing comprehensive data extraction, monitoring, and valuation solutions for the private capital industry. The company's AI-powered platform streamlines middle-office processes for alternative investments, enabling seamless data structuring and standardization, monitoring, and fair value estimation at the click of a button. 73 Strings serves clients globally across various strategies, including Private Equity, Growth Equity, Venture Capital, Infrastructure and Private Credit.

Our 2025 $55M Series B, the largest in the industry, was led by Goldman Sachs, with participation from Golub Capital and Hamilton Lane, with continued support from Blackstone, Fidelity International Strategic Ventures and Broadhaven Ventures.

About The Role

73 Strings is redefining alternative investments through its AI-augmented solutions. As a Product Manager - II for 73 Extract & Monitor, you will lead initiatives focused on optimizing data collection and monitoring processes for investors. This role involves managing scalable, data-driven solutions that leverage advanced technologies. You will work closely with cross-functional teams to ensure efficient handling of unstructured data and seamless integration into structured formats, empowering global clients in private equity, venture capital, and corporate finance.

Responsibilities:

• Lead the development of features that enhance the efficiency of data collection and monitoring processes.
• Collaborate with engineering teams to integrate technologies like AI/NLP where they add value to data processing workflows.
• Stay updated on best practices for handling unstructured data and build systems that are scalable and innovative.
• Conduct market research to identify opportunities for improving the product's ability to process large volumes of unstructured data efficiently.
• Define and execute delivery plans for cross-pod implementations while ensuring clear communication with stakeholders.
• Manage product roadmaps, prioritize opportunities, and maintain existing features to drive business goals.
• Engage directly with clients during product deep dives and provide training to internal teams on new features.
• Produce high-quality product requirements by collaborating with SMEs, design teams, and engineers using a lean problem-first approach.

Qualifications:

• You have at least 4 years of hands-on product development experience with a minimum of 1 year managing AI-powered data-heavy platforms (B2B).
• Strong understanding of AI/ML technologies and their application in solving business problems.
• Exceptional problem-solving skills with a structured approach and a proven track record of successfully building products from scratch (0-1).
• Strong communication skills (written and verbal) to engage stakeholders effectively.
• Familiarity with PE/VC ecosystems or corporate finance; candidates with MBA (Finance), CFA certification, or experience in financial data analysis are preferred.
• Proficiency in SQL and Excel is required; familiarity with Python or other scripting languages is a plus.