RD Station
RD Station
RD Station — marketing, savdo va mijozlarga xizmat ko‘rsatish jamoalari uchun o‘zaro bog‘langan vositalarni ishlab chiqadigan Braziliya SaaS kompaniyasi. Uning platformasi lidlarni saralash, elektron pochta va WhatsApp kampaniyalari, landing sahifalar, savdoni avtomatlashtirish, chatbotlar, omnichannel suhbatlar, tahlil va sun’iy intellekt asosidagi funksiyalarni o‘z ichiga olgan marketing avtomatizatsiyasi, CRM hamda mijozlarga xizmat ko‘rsatish imkoniyatlarini birlashtiradi. Ilovalar marketplace’i va dasturchilar uchun API’lar mijozlar bilan bog‘liq ish jarayonlarini muvofiqlashtirish, mijozlarni ushlab qolishni yaxshilash va o‘sishni yagona platforma orqali boshqarishni istagan bizneslar hamda agentliklar uchun integratsiyalarni qo‘llab-quvvatlaydi.

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.

Tavsif

  • 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.

Talablar

  • 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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