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RD Station este o companie braziliană de tip SaaS care dezvoltă instrumente conectate pentru echipele de marketing, vânzări și servicii pentru clienți. Platforma sa reunește funcții de automatizare a marketingului, CRM și servicii pentru clienți, inclusiv calificarea clienților potențiali, campanii prin e-mail și WhatsApp, pagini de destinație, automatizarea vânzărilor, chatboturi, conversații omnichannel, analize și funcții bazate pe inteligență artificială. Un marketplace de aplicații și API-uri pentru dezvoltatori facilitează integrările pentru companii și agenții care doresc să coordoneze fluxurile de lucru orientate către clienți, să îmbunătățească retenția și să gestioneze creșterea de pe o platformă unificată.
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.
Descriere
- 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.
Cerințe
- 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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