Head of AI Product Management

TEAM OVERVIEW

KKR’s Technology team is responsible for building and supporting the firm’s technological foundation. Technology is regarded as a key business enabler at KKR and is an important accelerator for global scale and business process transformation. We drive a culture of excellence by evolving the firm’s technology to platform-based capabilities that drive agility and high impact to the business.

POSITION SUMMARY

KKR is looking for an AI Product Leader to spearhead KKR's enterprise-wide AI product strategy. This critical role will own, manage, and prioritize all AI initiatives at the intersection of our business and technology, working across Operations, Finance, Investments, Asset Management, and Insurance teams. You will be instrumental in streamlining our technological capabilities, building AI roadmaps, driving prioritization, and managing successful rollouts of impactful AI solutions.

As the AI Product Leader, you will be the driving force behind shaping our technical AI roadmap in close partnership with engineering. Your mission will be to ensure the development and deployment of impactful, scalable AI solutions that accelerate productivity and innovation across KKR. The ideal candidate will possess a strong foundation in product management and/or engineering, with a proven ability to translate complex business needs into cutting-edge technical solutions. You'll navigate KKR's diverse business units, identifying opportunities for AI to deliver significant value and championing a user-centric, agile approach to product development. 

KEY RESPONSIBILITIES

• Own the end-to-end AI product strategy across the enterprise, from ideation to delivery and iteration, ensuring tight alignment with KKR's strategic business goals across all relevant departments (Operations, Finance, Investments, Asset Management, Insurance). 

• Act as the primary liaison and strategic partner for business units, collaborating deeply with stakeholders across Operations, Finance, Investments, Asset Management, and Insurance teams to surface requirements, understand pain points, drive prioritization, and deliver measurable outcomes. 

• Partner closely with engineering, data science, infrastructure, and architecture teams to build AI solutions to spec, ensuring feasibility, scalability, performance, and seamless integration within KKR's existing technology landscape. 

• Translate ambiguous or emerging business challenges into clear problem statements and comprehensive product requirements for AI solutions, ensuring a deep understanding of the underlying business value. 

• Drive the execution of the enterprise AI product roadmap, expertly managing dependencies, trade-offs, and timelines while maintaining a strong focus on delivering tangible business value and technical excellence. 

• Stay at the forefront of industry trends and innovations in AI/ML, enterprise tooling, large language models, and AI governance, continuously incorporating best practices into KKR's product thinking and strategy. 

• Champion a user-centric, agile product culture, leveraging feedback loops, metrics, and experimentation to iterate quickly and effectively, ensuring that AI solutions meet the evolving needs of our users. 
• Ensure that all AI products adhere to necessary regulatory, ethical, and governance standards, particularly within the complex and regulated financial services environment. 

QUALIFICATIONS

• 10+ years of progressive experience in product management or engineering roles, with at least 5 years specifically focused on AI, ML, or data-intensive technologies. 

• Deep and practical understanding of the entire AI/ML product lifecycle, including model development, deployment, and integration with enterprise tooling. 

• Strong technical acumen, demonstrated by the ability to engage confidently and productively with engineering and data science teams on architecture, APIs, model selection, and infrastructure decisions. 

• Proven track record of success in building, launching, and scaling enterprise-level AI solutions that have delivered clear, measurable business impact. 

• Exceptional collaboration and communication skills, with a demonstrated ability to influence and align diverse stakeholders from both technical and non-technical backgrounds. 

• Experience working in regulated industries, particularly financial services, is a significant plus. 
• Strategic thinker with a strong bias for action, a high degree of curiosity, and a consistent track record of driving innovation and transformation within an organization. 

PREFERRED QUALIFICATIONS

• Advanced degree in Computer Science, Engineering, Data Science, or a closely related quantitative field. 
• Hands-on experience with Large Language Models (LLMs), generative AI, MLOps platforms, or AI governance frameworks. 
• Background working within financial services or other complex, high-stakes enterprise environments.

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