Senior Customer Success Architect
WFA Digital Insight
Amplitude's commitment to helping companies build better products is evident in its pursuit of a Senior Customer Success Architect who can provide expert technical guidance on data management and taxonomy. What sets this role apart is the emphasis on hands-on, solution-oriented approach to customer success, requiring a deep understanding of Amplitude's products and a strong curiosity about how things work. As a critical member of the team, the successful candidate will be instrumental in ensuring customers can leverage Amplitude's capabilities to drive their product forward, making this a pivotal role for someone passionate about data-driven solutions and customer success.
Job Description
About The Role & Team
Amplitude’s mission is to help companies build better products. By building best-in-class teams, we create best-in-class products that customers love. We approach challenges with humility, we take ownership over our work, and our growth mindset pushes us to constantly improve ourselves, each other, and the value we bring to customers.
Join us as we deliver innovative and creative solutions to our customers. We're looking for a Customer Success Architect, based in India and supporting Global Customers, with experience providing guidance on data management and consultative support on customer taxonomy and tech stack. Maintaining and establishing clean product analytics data is critical for our customers to be able to understand and drive their products forward. The ideal candidate is an enthusiastic professional who thrives in a fast-paced environment and possesses a strong curiosity for "how things work" and "how things should work". You are a solution- and execution-oriented individual with a dedication for getting things done.
As a Customer Success Architect, you will:
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
You'll be a great addition to the team if you have:
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.
How to Stand Out
- Ensure you have a solid understanding of data management principles and taxonomy design.
- Develop a strong portfolio that highlights your experience in customer-facing technical roles, especially those involving data analytics and product implementation.
- Practice explaining complex technical concepts in a simple, approachable way, as this will be crucial in your interactions with customers.
- Be prepared to talk about your experience with data visualization tools, agile methodologies, and version control systems.
- Highlight any certifications in data analytics or related fields, and be ready to discuss how these have impacted your work.
- Prepare examples of times when you've had to troubleshoot data discrepancies and recommend action plans, as these scenarios are likely to come up in the interview process.
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