Senior Customer Success Architect

 Posted 2 hours ago
  
 Brazil
  
5-10 years experience
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AI Summary

Serve as a technical advisor guiding customers on data architecture, taxonomy design, and AI agent workflows. Collaborate cross-functionally to optimize business processes and improve the data management experience for enterprise accounts.

Amplitude is the leading AI-first digital analytics platform that helped over 4,000 customers build better products and digital experiences. Our customer base includes Atlassian, Burger King, NBCUniversal, Square, and Under Armour. 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 Fall 2025 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at 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.

Join us as we deliver innovative and creative solutions to our customers. We're looking for a Senior Customer Success Architect 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 Senior Customer Success Architect - São Paulo, you will: 

  • Serve as a trusted technical advisor for our customers.

  • Comfortable with Amplitude data architecture, instrumentation methods, taxonomy design, and AI agent workflows. Able to unlock use cases and guide internal and partner delivery teams.

  • Possess a mastery of Amplitude products and AI agent workflows in order to provide strategic consultation in taxonomy design, instrumentation and data governance.. 

  • Embeds AI in day-to-day workflow to improve efficiency and customer outcomes. Experiments, iterates, and shares best practices.

  • Be an expert in the Digital Optimization System in order to successfully guide our customers as they integrate Amplitude into additional workflows and business processes, thereby making Amplitude an integral business partner.

  • 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 Customer Success to streamline internal processes and improve data management experience for our customers.

You'll be a great addition to the team if you have: 

  • At least 5 years of customer facing technical experience, with a demonstrated record of successfully engaging with enterprise accounts.

  • Competent in programming languages and concepts that underpin modern web and mobile development (e.g. SQL, JavaScript, Java, Python, Android, iOS, RESTful APIs).

  • Execution and customer service oriented, able to effectively prioritize and complete customer deliverables on-time and drive outcomes.

  • Prior experience working with SaaS solutions in the following domains is preferred: product analytics, digital marketing, A/B testing, business intelligence, customer data platforms, data warehouses/pipelines, or any of our integration partners.

  • Excellent verbal and written social, presentation, and interpersonal skills, with the ability to effectively explain complex technical concepts to stakeholders with an array of experience levels and technical competencies.

  • Problem-solving mentality and positive attitude towards the change that comes with working at a rapidly growing company.

  • TRAVEL: It is customer dependent. Typically once per quarter. 

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