AI Deployment Specialist

Job Description

About SaxeCap:

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SaxeCap is the premier AI transformation and investment platform in private equity. We pioneered the concept of buying out traditional businesses and transforming them with AI in 2018, and today we are the go-to AI transformation partner for 70+ PE firms globally, including 9 of the 10 largest by AUM as well as the world’s leading sovereign wealth funds. We've transformed 200+ businesses across healthcare services, business services, financial services, software, consumer, and more, driving billions of dollars of enterprise value expansion along the way.

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We operate at the intersection of three businesses: (1) a private equity investment arm, (2) an in-house AI transformation firm that designs and deploys bespoke GenAI, ML, and automation solutions, and (3) a suite of proprietary software products. Our team comes from places like Google, Palantir, Meta, Surge AI, Blackstone, TPG, Cerberus, Millenium, Balyasny, McKinsey, Bain, Oliver Wyman, MIT, Stanford, IIT, GSB, HBS, and Wharton. We were early investors in OpenAI, Anthropic, Groq, SpaceX, Neuralink, Mercor, Lambda Labs, etc. But what makes our team exceptional isn't where they came from or what they've invested in, it's what they ship. We are builders.

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About the Role:

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We are hiring an AI Deployment Specialist to join our AI transformation team. This is one of the highest-leverage early-career roles in AI and private equity. You will work directly alongside our VPs and senior leadership across every phase of AI-driven value creation, from evaluating opportunities for PE sponsors, to building transformation roadmaps for portfolio companies, to working with our engineers and data scientists as they deploy solutions into production.

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You will not be sitting in the back room building slides that someone else presents. From day one, you will be in the room with PE partners, portfolio company executives, and technical teams. You will run analyses that shape investment decisions, conduct the discovery that informs transformation roadmaps, manage workstreams on live AI deployments, and help quantify the EBITDA impact of what we build. The learning curve is steep and the exposure is unmatched.

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About You:

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You are early in your career but already operating above your title. You are technical enough to hold your own with engineers and data scientists, structured enough to synthesize complex information into clear recommendations, and scrappy enough to figure things out without being told exactly what to do. You want to be at the intersection of AI and business value creation, and you want reps, not theory. Specifically:

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• 2 to 5 years of experience in one or more of: strategy consulting, investment banking, private equity, AI/ML engineering, data science, or product management
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• You have real technical chops: hands-on experience with Python, SQL, and data analysis tools is expected. Experience with generative AI, machine learning, NLP, or data science is a strong differentiator. You should be able to pull data, run analyses, and prototype solutions, not just talk about them.
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• You have strong analytical and structured thinking skills, whether from consulting, banking, engineering, or a technical research background
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• You have experience managing stakeholder relationships and communicating complex technical concepts to non-technical audiences
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• You have product instincts: you understand how to go from a user pain point to a scoped technical solution, and you have some experience coordinating with engineering or data science teams
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• You have experience (or strong aptitude for) quantifying the business impact of technology initiatives in financial terms (enterprise value, EBITDA, ROI)
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• You thrive in fast-paced, ambiguous environments. You can context-switch across multiple projects, manage competing deadlines, and maintain quality under pressure.
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• You are a self-starter who takes ownership. You don't wait to be told what to do, you identify what needs to happen and make it happen.
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• Bachelor's and/or Master's degree in Computer Science, Engineering, Mathematics, or a related technical field from a top-tier institution
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• Legally authorized to work in the US without sponsorship
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What Sets the Best Candidates Apart:

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The AI Deployment Specialists who rise fastest at SaxeCap share a few things in common:

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• Technical and commercial bilingualism. You can go from a Jupyter notebook to a client presentation without skipping a beat. You understand both the technical mechanics of AI solutions and the business logic of why they matter to a PE sponsor.
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• Bias toward building. You have evidence of making things: side projects, hackathon wins, open-source contributions, a startup attempt, or a product you shipped at work. We care far more about what you've built than where you've worked.
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• Analytical horsepower. You can take a messy, ambiguous problem and impose structure on it. Whether that's from case interviews, financial modeling, engineering problem sets, or research, you have a track record of rigorous, logical thinking under pressure.
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• Speed and ownership. You move fast and take the ball without being asked. The best AI Deployment Specialists at SaxeCap operate with the autonomy and accountability of someone two levels above their title, and get rewarded for it.
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Compensation & Growth:

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SaxeCap offers highly competitive compensation, and you will work directly with our senior leadership from day one, with significant client exposure and rapid professional development. The team is lean by design, there are no layers between you and impact. AI Deployment Specialists who perform are promoted quickly and given increasing ownership of client relationships and workstreams.