About the company
Amplitude is the leading AI analytics platform, helping over 4,700 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.
Responsibilities
- Serve as a trusted technical hand-on operator for our customers
- Possess a mastery of Amplitude products in order to provide strategic benefit to customers in Data Audit & Taxonomy clean up
- Assist customers in mapping the data-flow architecture between Amplitude and upstream sources — Segment, mParticle, Snowflake, BigQuery, RudderStack, etc
- Assist our customers by creating playbooks as they integrate Amplitude into additional data flows and business processes, thereby making Amplitude an integral business partner
- Run deep-dive investigations into data discrepancies and recommend action plan
- Audit existing Amplitude implementations against best practices — SDK version, instrumentation patterns, property naming, event-volume efficiency — and produce a scored report with prioritized remediation steps from a repeatable rubric
- Gather, organize, and report trends and customer insights to optimize business processes, documentation and services
- Collaborate cross-functionally with teams like Amplitude's Product, Engineering, Platform Support and Technical Success Manager to streamline internal processes and improve data management experience for our customers
Requirements
- 5+ years in a technical, customer-facing data or analytics role — implementation, solutions/sales engineering, analytics engineering, or data consulting.
- Competent in programming languages and concepts that underpin modern web and mobile development (e.g. SQL, JavaScript, Java, Python, Android, iOS, RESTful APIs).
- Working knowledge of CDPs and event pipelines — Segment, mParticle, RudderStack.
- Familiarity with cloud data warehouses, especially Snowflake and BigQuery.
- Understanding of client-side and server-side SDK instrumentation across web and mobile.
- A solid grasp of event taxonomy design and data governance principles.
- Able to collaborate across time zones with onshore architects and account teams.
- At least 5 years of customer facing technical experience, with a demonstrated record of successfully engaging with enterprise accounts.
- Execution and customer service oriented, able to effectively prioritize, project manage and complete customer deliverables on-time and drive outcomes.