AI Deployment Lead, Private Equity
$145,000–$200,000 year
On-siteNew York City, New York, United States or New York, United States
Job Summary
Lead forward-deployed client engagements to build bespoke AI applications and fine-tune the SuperAnalyst product for specific private equity workflows. Scope core client processes, design new AI use cases, and drive adoption by making the platform central to how teams research, pitch, model, and execute. Lead GTM demos showcasing capabilities in company research, financial modeling, and valuation while building trusted, consultative relationships with stakeholders from analysts to Partners. Own proof-of-value evaluations by calibrating custom skills to coverage groups and deal workflows, setting success criteria with prospects to turn interest into commitment. Translate bespoke deployment solutions and client feedback back into central features to shape the product roadmap. Requires 2+ years of experience at a top-tier private equity firm with fluency in financial modeling and the full deal cycle. Base compensation ranges from $145,000 to $200,000 USD.
Required Qualifications
- 2+ years of work experience at a top-tier private equity firm
- Strong fluency in financial modeling
- Writing investment committee memos
- Valuation
- Exposure across the full deal cycle, from sourcing and screening through diligence and execution
- hands-on ownership of live deal deliverables
- Bachelor's degree or above
Desired Qualifications
- intuition for how to use AI in your workflows
- interest in blending product development and forward deployed adoption of AI
- Genuine curiosity about AI
- Conviction about how AI will reshape private equity
- eagerness to be on the front line of it
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