About the team
FinTech is a part of the CFO's organization and responsible for innovating and building the best financial products & systems in the world. Our DNA is customer obsession, top-quality products, collaboration, and clarity.
FinTech works closely with Finance & business operations to build applications and solutions to enable critical accounting, finance business processes at Uber. We use industry best practices in Financial and Accounting systems, applying them to our complex global business operations. We provide systems for compliance, data reliability, audit and ensure timely availability of business critical data. This group is on the critical path to enable Uber to become a world class business operation and at the cutting edge of operational excellence.
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As a Product Manager II - Finance and Tax you will envision and craft a financial product roadmap to build world class Products working with Corporate Finance, Global Tax, Global Reporting and Compliance and Engg Teams at Uber. You will partner with other FinTech & Finance leaders to perform systems analysis and implement changes across FinTech systems. You will be responsible for overall metrics and business impact of your programs. Your performance is measured by the impact of the projects you launch seamlessly and by your ability to influence and inspire a high-performing Cross-functional team that includes Product, Tax, Engineering, Accounting, Finance and Operations.
What you will do:
This role is a unique opportunity mix of technology, consulting and product development and project management. The role will require deep technical skills and experience and need close collaboration with Tax, Finance and other partner teams to get a deep understanding of the processes and data flows.
- Product Development: Lead the creation and evolution of a high-quality AI performance evaluation and quality check platform. Develop and simulate conversations to evaluate AI models against real-world conditions, identify performance gaps, and iterate to improve accuracy and customer experience.
- Develop and communicate a clear product vision and strategy aligned with business goals, financial objectives, ERP capabilities, and market trends (including AI/LLM potential)
- Product Ownership: Own the end-to-end product lifecycle by understanding customer pain points, defining product requirements, managing development and testing, and successfully launching scalable evaluation tools.
- Translate strategy and business requirements (especially from Finance) into actionable user stories, epics, and acceptance criteria
- Identify and evaluate opportunities to leverage AI/LLMs for automation, analytics, and enhanced functionality within finance/ERP workflows
- Evaluation Frameworks: Design automated and human-centric evaluation frameworks that adhere to industry best practices, ensuring robust quality and reliability across AI systems.
- Cross-functional: Collaborate with Finance , engineering, data science, and LLM labeling operations to build and refine AI evaluation tools, fostering strong team alignment.
- Strategic Execution: Partner with executive leaders to determine and execute the product strategy, ensuring alignment with overall business and AI objectives.
- Data-Driven Decisions: Use data insights to continuously refine evaluation frameworks, prioritize product features, and optimize AI performance by addressing risks such as hallucinations or inaccuracies.
- Executive Communication: Present clear and compelling updates on product progress, vision, and impact to senior leaders, securing buy-in and alignment across the organization.
What you will need:
- Experience: At least 4+ years of product management experience, with some experience building enterprise/ SaaS products.
- Conceptual understanding of ERP systems, their modular structure, and how different business processes (Tax,Finance, Supply Chain, HR, etc.) integrate within them is required.
- Domain experience: Finance
- Experience in consolidating financial data across systems using cloud/SAAS tools such as Financial Accounting Hub.
- Execution Ability: Demonstrated ability to lead cross-functional teams, prioritize complex roadmaps, and deliver impactful AI tools at scale.
- Data-Driven Approach: Proficient in analyzing AI performance data, leveraging insights to inform product improvements, and addressing quality gaps like hallucinations.
- Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degrees in AI/ML or related areas are a plus.
- Application Awareness: Understanding how AI/LLMs can be applied to solve problems in Finance/ERP (e.g., automation, forecasting, fraud detection) Strong understanding of AI/ML technologies, including LLMs, fine-tuning, prompt engineering, dataset creation, regression testing, and performance metrics.
Bonus Points
Experience in large scale Oracle Cloud ERP footprint (Oracle GL, EB- Tax, Accounting Hub)
- Strong experience in Excel, preferred SQL skills
- Interest in building products and improving tax reporting and compliance functions
- Experience working on knowledge platforms or similar tools or Background in integrating AI technologies into content or knowledge systems.
- Comfortable working in fast-paced environments with competing priorities.
- Genuine passion for financial systems and technological developments.
At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 10,000 cities around the world. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.