About the job
About Trove
Trove is pioneering a revolutionary AI associate designed for financial firms, including private equity, hedge funds, and banks, focusing on enterprise-grade search and autonomous agents.
Our mission is to create associate-level Artificial General Intelligence (AGI).
We have secured nearly $10 million in funding from Menlo Ventures and Khosla Ventures.
We are witnessing strong initial traction with substantial enterprise contracts and user engagement that rivals leading B2B AI solutions.
Why consider this role?
Impactful Contribution: You will play a pivotal role in shaping both our product and company culture from the outset, tackling complex challenges at the cutting edge of Generative AI applications, including enterprise-scale data retrieval, autonomous agents, and knowledge graphs.
Equity Opportunity: Enjoy a significant equity stake starting from 0.5% along with a competitive cash salary ranging from $175,000 to $300,000, granting you a meaningful stake in the company.
Elite Team: Join a talented founding team based in San Francisco.
Shivaal Roy (CTO) is a founding engineer at Glean, which currently boasts over $100 million in Annual Recurring Revenue (ARR), where he successfully managed teams focused on similar challenges.
Danny Goldman (CEO) is recognized as a top performer from Bain’s Private Equity group.
Your Responsibilities
Innovate the next generation of Generative AI user interfaces to provide human-level capabilities for financial professionals.
Take ownership of critical features and the overall user experience from conception to implementation.
Engage in rapid iterations with design, machine learning, and product teams.
Your Profile
Demonstrated history of exceptional capabilities in software development.
3 to 8 years of experience in building applications using modern frameworks such as React and TypeScript.
A strong interest in Generative AI user interface and user experience (LLM/chat, data retrieval, and agent interfaces).
Enthusiastic about working in-person four days a week in San Francisco.
Preferred but not mandatory: experience with data-intensive products, search/retrieval technologies, or finance-related tools.

