amplitude · San Francisco
Skills: Python, SQL, CI/CD
Amplitude is the leading AI analytics platform, helping over 5,200 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked 1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com http://amplitude.com. As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. ABOUT THE ROLE Join the engineering team that builds the data products, integrations, and AI-enabled tools the rest of Amplitude runs on. We partner closely with business teams, become experts in their problems, and build solutions that improve how they work. This role will specifically support Marketing and Go-to-Market. You’ll partner with Marketing Operations, Revenue Operations, Sales, and Analytics to build reliable data pipelines, trusted business models, and reusable semantic and context layers. Your work will help teams understand campaign performance, connect marketing engagement to pipeline and revenue, prioritize accounts, and bring consistent business context into analytics and AI workflows. We’re looking for a hands-on engineer who enjoys understanding how the business works and owning complex data projects from discovery through production support. You’ll combine strong data engineering fundamentals with curiosity, sound judgment, and a focus on delivering useful outcomes. AS A SENIOR DATA ENGINEER, YOU WILL - Build and operate production data pipelines using Fivetran, dbt, and Snowflake, integrating CRM, marketing automation, advertising, product usage, and other business data. Develop custom API connectors when…
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