Job Title
AI Deployment Lead
Salary
Not Disclosed
Company Description
Tracelight is a $3.6M seed-funded startup building the AI operating system for financial modelling, starting with a revolutionary Excel add-in. Backed by Chalfen Ventures and Acequia Capital, the 12-person team includes talent from McKinsey and Jane Street, serving the world’s largest consultancies and private equity megafunds.
Job Description
As a founding member of the AI Deployment Team, you will bridge the gap between Tracelight’s powerful AI tools and elite financial professionals. You’ll embed within top-tier institutions, identifying high-value use cases and driving product adoption. This high-impact role combines technical product shaping, strategic consulting, and enterprise account growth.
Location
London, UK
Why this role is remarkable
- Join as a founding-team member at a high-growth startup backed by top investors like Chalfen Ventures and industry veterans.
- Work directly with senior decision-makers at the world’s biggest consultancies and PE megafunds to redefine financial modelling workflows.
- Influence the core product roadmap by translating deep user insights into technical requirements for an AI-native operating system.
What You Will Do
- Embed with enterprise clients to identify and build complex AI-driven modelling, reporting, and data transformation use cases.
- Lead end-to-end client adoption and account expansion, designing bespoke demos and onboarding elite teams at global institutions.
- Collaborate with engineering and product teams to shape Tracelight’s features based on direct observations from the field.
The ideal candidate
- Brings 2-5 years of experience from a top-tier consulting firm, investment bank, or private equity institution with deep modelling expertise.
- Demonstrates high agency and exceptional commercial instincts, comfortable navigating relationships with senior partners and managing directors.
- Possesses technical curiosity and the ability to leverage AI tools or write simple scripts to solve immediate user challenges.
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