Vice President, AI Deployment & Strategy (Singapore)

About SaxeCapSaxeCap 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.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, Millennium, Balyasny, McKinsey, Bain, Oliver Wyman, MIT, Stanford, IIT, GSB, HBS, and Wharton. Our leadership includes 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.With established teams across North America, South America, India, and the United Kingdom, we are now expanding across Asia and continental Europe. Singapore will be our hub for Southeast Asia, and this role is the first hire in that hub.About the RoleWe are hiring a Vice President, AI Deployment & Strategy to join our AI transformation team and establish our presence in Singapore and Southeast Asia, working with global and regional sponsors and the portfolio companies they own across the region. This is not a traditional consulting or investment role. You will own the full lifecycle of AI-driven value creation across our PE partner portfolio, from first engagement with a sponsor, through deep technical and strategic analysis, to managing our engineers and data scientists as they build and deploy solutions that move EBITDA.You will operate across a range of workstreams simultaneously: evaluating AI opportunities for PE sponsors under deal timelines, designing comprehensive transformation roadmaps for portfolio companies, managing technical teams through production AI deployments, supporting investment underwriting for SaxeCap's own PE vehicle, and leading business development with new partners. The common thread: you are the person who connects AI's technical potential to measurable business value, and you own the outcome end to end.In Singapore specifically, you will anchor our Southeast Asia presence. The region's sponsors and sovereign investors are among the most sophisticated in the world, and their portfolio companies span a wide range of markets, languages, and regulatory regimes, from Singapore and Malaysia to Indonesia, Vietnam, Thailand, and the Philippines. You will translate SaxeCap's playbook across that diversity: building conviction on AI opportunities in businesses that often operate across several countries at once, managing deployments with distributed teams, and building the relationships with regional management teams that make a transformation durable. You will also help us recruit and develop the team that follows you.About YouYou are a hybrid: part technologist, part strategist, part operator. You are equally comfortable whiteboarding a model architecture with an ML engineer, presenting an AI transformation roadmap to a private equity partner, and pressure-testing an LBO model. You move fast, you think in structures, and you obsess over shipped outcomes rather than theoretical potential. Specifically:5 to 10 years of experience spanning two or more of: private equity, AI/ML product management, strategy consulting (MBB or comparable preferred), investment banking, or engineeringYou have managed teams of 5+ people (engineers, data scientists, consultants, or analysts) and held them accountable to ambitious timelinesYou have managed executive and C-suite stakeholder relationships, ideally in a PE or PE-adjacent contextYou have real AI/ML fluency: you can discuss model architectures, data pipelines, and build-vs-buy trade-offs with technical teams, not just at a buzzword level. Hands-on experience with Python, SQL, and data science tools is expected. Experience shipping ML products, managing RLHF programs, or building GenAI solutions is a strong differentiator.You have experience quantifying enterprise value and EBITDA impact of technology or transformation initiatives; not just tracking KPIs, but tying technical outcomes to P&LYou have product management instincts: understanding user pain points, scoping technical solutions, and managing the build through deploymentYou have operated in fast-paced, ambiguous environments where the scope, stakeholders, and approach shift rapidly, and you thrive in that context rather than resist itYou have full professional fluency in English; working proficiency in Mandarin, Bahasa Indonesia, Bahasa Melayu, or another major regional language is a strong plusYou have operated across multiple Southeast Asian markets and understand how business practices, labor models, and data infrastructure differ between themYou are familiar with the regional regulatory and data environment, including Singapore's PDPA and MAS guidance on AI and data in financial services, and can design AI deployments that respect themYou are authorized to work in Singapore or are eligible for an Employment PassBachelor's and/or Master's degree in Computer Science, Engineering, Mathematics, or a related technical field from a top-tier institutionWhat Sets the Best Candidates ApartThe people who excel at SaxeCap share a specific profile. They are not pure technologists and not pure dealmakers, they are the rare operators who can do both. The strongest signals we look for:Shipped AI, not just studied it. You have built or managed the build of AI/ML solutions that went to production and drove measurable business outcomes. "Led AI strategy" without specifics doesn't move the needle. "Shipped an ML model that reduced X by Y%, managing a team of Z engineers" does.PE-grade rigor under time pressure. You can form accurate conviction on an AI opportunity from limited information and present that conviction to a PE partner with confidence. If you've worked on a live deal, you know what this feels like.Builder DNA. You don't just recommend, you build. Side projects, open-source contributions, 0-to-1 products, or intrapreneurial ventures all signal the instinct we're looking for.Structured synthesis at scale. You can process massive amounts of qualitative and quantitative information and distill it into a prioritized plan that senior executives can act on. This is the hardest skill to find and the one we value most.Comfort operating across a fragmented region. You have delivered results in businesses that span several Southeast Asian markets simultaneously, each with its own regulations, talent pools, and operating norms, and you know how to design a transformation that holds together across all of them.Compensation & GrowthSaxeCap 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. As our first hire in Singapore, you will have a direct hand in shaping how SaxeCap grows across Southeast Asia and the wider region.