Lead the design and coordination of analytics infrastructure powering product analytics across payments.
Build AI-native analytics workflows, embedding intelligence directly into data and decision systems.
Partner with product, data science, and engineering to shape problem definitions and deliver the solutions.
Drive data quality, reliability, and governance standards across critical analytics systems. Build internal tools and frameworks to enable self-serve analytics and faster iteration for product teams.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
5 years of experience coding in Python and SQL.
5 years of experience designing and deploying data pipelines, including managing data schemas and processing data volume workflows.
5 years of experience working with machine learning operations and data architecture design.
Preferred qualifications
5 years of experience designing enterprise-scale data platforms and analytics infrastructure.
5 years of experience with AI/LLM-based systems, agentic workflows, or intelligent data applications.
5 years of experience with using Gemini command-line interface, cider agents, LLM extensions, Agent Development Kit (ADK) agents etc.
3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders or customers.
Experience with machine learning for production workflows.
Ability to operate across ambiguity and influence cross-functional technical decisions.
Bachelor’s degree or equivalent practical experience.
5 years of experience coding in Python and SQL.
5 years of experience designing and deploying data pipelines, including managing data schemas and processing data volume workflows.
5 years of experience working with machine learning operations and data architecture design.
