As an Engagement Manager at Model ML, you will own the end-to-end customer journey for major financial institutions. You’ll translate complex analytical challenges into automated AI workflows, drive product adoption, and build scalable playbooks. This high-impact role bridges the gap between elite finance professionals and cutting-edge engineering to redefine industry standards.
Engagement Manager at Model ML
As an Engagement Manager, you'll bridge the gap between elite finance and AI, turning complex workflows for major investment banks and private equity firms into fully automated systems. If you have 5+ years of experience in banking or consulting and are ready to build the systems that will replace manual analytical work, this is your chance to join a high-velocity mission. You'll own end-to-end customer outcomes and drive adoption across global financial hubs including New York, Madrid, and Paris.
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Location
New York, United States
Compensation
Not Disclosed
Company
Model ML
Role overview
Model ML offers an AI-powered workspace built specifically for the financial services industry, including private equity firms, investment banks, and corporate development teams. The platform automates complex and repetitive financial research tasks such as analyzing deal documents, extracting comparable transaction data, market mapping, commercial due diligence, and generating tailored insights. By integrating with sources like PitchBook and Crunchbase, and leveraging advanced AI for data extraction and analysis, Model ML enables finance professionals to conduct faster and more precise due diligence, benchmarking, and market intelligence. The platform emphasizes auditability and compliance, allowing users to control data provenance and source selection. Founded in 2023, Model ML operates from San Francisco and London, serving clients across the financial sector.
Backed by FT Partners, Y Combinator, QED Investors, 13Books Capital, Latitude, LocalGlobe.
What you will do
- Translate manual financial processes like pitch decks and diligence reports into scalable Model ML workflows that produce client-ready work from trusted data.
- Manage the full trial-to-renewal lifecycle, ensuring high adoption through proactive communication, rigorous governance, and stakeholder alignment across the firm.
- Collaborate closely with Product and Engineering teams to transform client feedback into concrete product features and reusable internal playbooks.
Who this is a fit for
- Brings 5+ years of experience from private equity, investment banking, or Tier 1 consulting with a focus on high-stakes analytical work.
- Demonstrates technical fluency, with the ability to reason about data workflows and failure modes while remaining highly credible with engineering teams.
- Exhibits extreme ownership and the ability to scope ambiguous client requests into detailed delivery plans with clear owners and firm timelines.
Why this role is remarkable
- Join one of the fastest-growing enterprise AI platforms that recently closed a $75M Series A led by FT Partners and backed by Y Combinator.
- Directly impact the digital transformation of world-class clients, including major investment banks, private equity firms, and two Big Four companies.
- Experience a high-velocity culture with direct access to leadership and the opportunity to define the operating cadence of a category-defining startup.
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