Manager II, Applications Developer, FinTech AI

Uber
San Francisco, United StatesPosted 6 March 2026

Job Description

Manager II, Applications Developer, FinTech AI Department: Engineering Team: Manager Location: San Francisco, United States Type: Full-Time **About the Role** We are seeking a **Manager II, FinTech AI Application Development (L5B)** to join Uber’s FinTech team. This role sits at the intersection of finance and AI innovation, driving how generative AI, machine learning, and automation reshape Finance and Accounting at Uber. This position emphasizes **leadership, product vision, and domain expertise**, while also valuing the ability to engage in technical exploration when appropriate. You will define the roadmap for AI in Finance, guide teams in exploring high-value use cases, and partner closely with stakeholders across Finance, Accounting, Engineering, and Uber’s central AI teams to ensure scalable, impactful adoption of AI solutions. This is a high-visibility role for a leader who understands both **enterprise finance systems and emerging AI technologies**, and who can bridge technical possibilities with business priorities. **What You'll Do** #### **AI Strategy & Roadmap** 1. Own and drive the AI roadmap for Finance and Accounting, in partnership with Finance leadership. 2. Establish structured frameworks for identifying, evaluating, and prioritizing AI opportunities based on ROI, scalability, and risk. 3. Stay ahead of AI and ML advancements, translating them into practical applications for Finance and Accounting. #### **Stakeholder Partnership** 1. Act as the primary liaison between Finance/Accounting and Engineering, ensuring AI initiatives align with business goals. 2. Champion AI adoption across Finance by influencing stakeholders, shaping narratives, and demonstrating value. 3. Partner with central AI platform teams to leverage infrastructure, tools, and best practices. #### **Leadership & Execution** 1. Manage and mentor a small but growing AI-focused team, fostering a culture of innovation and learning. 2. Guide the design and validation of AI proofs-of-concept (developed by technical contributors), ensuring alignment with Finance needs. 3. Engage with technical details as needed to
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