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RD Station
RD Station
1,001 – 5,000 Employees
H1B Visa SponsorConsultingLogisticsMarketing
RD Station is a Brazilian SaaS company building connected tools for marketing, sales, and customer service teams. Its platform brings together marketing automation, CRM, and customer service capabilities, including lead qualification, email and WhatsApp campaigns, landing pages, sales automation, chatbots, omnichannel conversations, analytics, and AI-enabled features. An app marketplace and developer APIs support integrations for businesses and agencies looking to coordinate customer-facing workflows, improve retention, and manage growth from a unified platform.
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Senior RevOps Data and AI Engineer

Build data pipelines, integrations, and LLM-powered automations for RD Station’s Customer Success operations. Deliver reliable, scalable solutions supporting RevOps, business intelligence, and Support.

BRBrazilRemoteFull-timeSeniorEnglish RequiredPortuguese RequiredAI EngineerMachine Learning Engineer
AirflowBigQueryCloudETL

Description

  • Act as the technology, data, and AI expert for the RevOps Retention squad within Data Solutions and GTM.
  • Build and manage production ELT/ETL pipelines and data models with BigQuery, Google Cloud, Airflow, and dbt.
  • Maintain data quality, governance, and documentation for Gainsight, BI, Customer Success, and Support systems.
  • Develop the data foundation for leadership dashboards in collaboration with BI and Business Analysts.
  • Create operational AI solutions, including LLM automations, agents, copilots, and AI-supported analysis.
  • Implement version control, deployment, observability, security, and cost controls for sustainable automations and AI products.
  • Automate cross-system workflows and integrations using APIs, webhooks, and integration platforms.
  • Enable system migrations and product launches through accurate data mapping and validation.
  • Turn Customer Success and Support requirements into prioritized technical solutions, coordinating with leadership and reporting progress.
  • Promote knowledge sharing through documentation, engineering practices, and responsible AI use.

Requirements

  • Bring extensive experience as a Data Engineer or Analytics Engineer and the ability to work independently.
  • Have hands-on experience building and operating production data pipelines.
  • Demonstrate practical knowledge of BigQuery and Google Cloud.
  • Use Airflow and/or dbt for data orchestration and transformation.
  • Have applied LLMs or generative AI to automations or products through APIs and prompt development, even at an early stage.
  • Use Git and established engineering practices, including version control, documentation, and testing.
  • Read and write technical English for documentation and collaboration.
  • Hold a bachelor’s degree in Technology, Engineering, Computer Science, Statistics, or a related field, or have equivalent experience.
  • Take end-to-end ownership, act with initiative, and seek to understand Customer Success and Support workflows.
  • Communicate clearly with technical and non-technical audiences and consistently document new knowledge.

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