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Model ML Inc. is seeking a Product Specialist in New York to be the subject-matter expert for leveraged finance, acquisition finance, DCM and private credit teams in the US.
You’ll run demos, design use cases, check outputs, and grow usage inside each client firm. You will build templates for credit memos, lender presentations and debt schedules, turning client problems into scalable workflows while ensuring outputs are accurate.
Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms worldwide and recently closed a $75 million Series A, one of the largest fintech Series A rounds ever. The round was backed by FT Partners, Y Combinator, LocalGlobe, QED, 13books, and other top global investors.
Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms worldwide and recently closed a $75 million Series A, one of the largest fintech Series A rounds ever. The round was backed by FT Partners, Y Combinator, LocalGlobe, QED, 13books, and other top global investors.
The Product Specialist is our subject-matter expert for leveraged finance, acquisition finance, DCM and private credit teams in the US. You’ll run demos, design use cases, check outputs, and grow usage inside each client firm.
To conclude, we're building a team of like-minded, incredibly smart, tenacious individuals with relentless work ethic and focus, all driving towards our very clear revolutionary mission. If you match this description, buy into that mission and you're at a career stage where you're ready to make your defining statement to the world.
Our Process: We're very conscious of everyone's time, so we want to make the process as efficient as possible.