Senior RevOps Data & AI Engineer

đŸ”„ 11 minutes ago

đŸ‡§đŸ‡· Brazil – Remote

⏰ Full Time

🟠 Senior

đŸ€– AI Engineer

đŸ‘» Ghost score 10%

infoinfo

đŸ—ŁïžđŸ‡§đŸ‡·đŸ‡”đŸ‡č Portuguese Required

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Logo of RD Station

RD Station

1001 - 5000 employees

Founded 2011

📣 Marketing

đŸ’Œ Consulting

📩 Logistics

Marketing ‱ Consulting ‱ Logistics

RD Station is a Brazilian SaaS company that provides integrated marketing automation, CRM and customer service solutions. Its platform helps businesses attract and qualify leads, run email and WhatsApp campaigns, create landing pages, automate sales processes, deploy chatbots and manage omnichannel conversations, with analytics and AI features as well as an app marketplace and developer APIs. RD Station targets companies and agencies seeking to connect marketing, sales and support workflows to drive growth and retention.

📋 Description

‱ Design, build, and maintain ELT/ETL data pipelines and data models within the Google ecosystem using BigQuery, Google Cloud, Airflow, and dbt ‱ Ensure the quality, governance, and documentation of data used by Gainsight, BI, and Customer Success and Support systems ‱ Prepare the data layer for leadership BI dashboards in partnership with BI and Business Analysts ‱ Design and implement AI solutions for operations, including LLM automations, agents, copilots, and augmented analytics ‱ Establish version control, deployment, observability, security, and cost management for automations and AI products ‱ Automate processes and integrations between systems through APIs, webhooks, and integration platforms ‱ Support system migrations and the launch of new products through data mapping and validation ‱ Translate Customer Success and Support needs into technical solutions, prioritizing them with leadership and providing visibility into progress ‱ Share knowledge through documentation, best practices, and responsible AI usage ‱ Serve as the technology, data, and AI specialist on the Retention squad within RevOps/Data Solutions/GTM

🎯 Requirements

‱ Substantial experience as a Data Engineer or Analytics Engineer, with demonstrated autonomy ‱ Experience building and maintaining data pipelines in production ‱ Practical knowledge of BigQuery and Google Cloud ‱ Experience with Airflow and/or dbt for data orchestration and transformation ‱ Hands-on use of LLMs/generative AI in automations or products, including APIs and prompt engineering ‱ Git and sound engineering practices, including version control, documentation, and testing ‱ Technical English proficiency for reading and documentation ‱ University degree in Technology, Engineering, Computer Science, Statistics, or a related field, or equivalent experience ‱ Ability to own problems end to end while balancing robust solutions with rapid delivery ‱ Clear communication with technical and non-technical stakeholders and a strong habit of documenting learnings

đŸ–ïž Benefits

‱ Holistic Well-Being resources supporting emotional, financial, physical, occupational, and social wellness ‱ Inclusion, diversity, and belonging initiatives and benefits ‱ Continuous learning and opportunities for professional growth and career development ‱ Autonomy to make an impact and take ownership of your career

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