
Senior RevOps Data & AI Engineer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Brazil.
• Develop, construct, and manage ELT/ETL data pipelines and models within the Google ecosystem utilizing BigQuery, Google Cloud, Airflow, and dbt.
• Ensure the integrity, governance, and documentation of data utilized by Gainsight, BI, and Customer Success and Support systems.
• Prepare the data layer for executive BI dashboards in collaboration with BI and Business Analysts.
• Design and execute AI solutions for operational needs, including LLM automations, agents, copilots, and enhanced analytics.
• Establish version control, deployment, observability, security, and cost management for automation and AI products.
• Automate processes and facilitate integrations between systems via APIs, webhooks, and integration platforms.
• Assist with system migrations and the introduction of new products through data mapping and validation.
• Convert Customer Success and Support requirements into technical solutions, prioritizing them with leadership and ensuring visibility into progress.
• Disseminate knowledge through documentation, best practices, and responsible AI usage.
• Act as the technology, data, and AI expert on the Retention squad within RevOps/Data Solutions/GTM.
• Significant experience as a Data Engineer or Analytics Engineer, showcasing independence.
• Proven experience in building and maintaining data pipelines in a production environment.
• Practical expertise in BigQuery and Google Cloud.
• Familiarity with Airflow and/or dbt for data orchestration and transformation.
• Hands-on experience with LLMs/generative AI in automations or products, including APIs and prompt engineering.
• Proficient in Git and sound engineering practices, encompassing version control, documentation, and testing.
• Proficient in technical English for reading and documentation purposes.
• Bachelor’s degree in Technology, Engineering, Computer Science, Statistics, or a related field, or equivalent experience.
• Capability to manage problems from start to finish while balancing thorough solutions with swift delivery.
• Effective communication with both technical and non-technical stakeholders, along with a strong practice of documenting insights.
• Comprehensive Well-Being resources that support emotional, financial, physical, occupational, and social wellness.
• Inclusion, diversity, and belonging initiatives along with various benefits.
• Ongoing learning and opportunities for professional advancement and career development.
• Freedom to make a meaningful impact and take charge of your career.
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