Improvado

• Build AI-based testing frameworks and pipelines that automate the full QA workflow: design test strategies, develop automated tests, create and execute test plans, perform different types of testing across workflows, and analyze defects—all powered by LLM tools and modern AI frameworks • Perform functional, regression, integration, and load testing across agent workflows • Analyze defects and incidents, identify root causes, and help prevent regressions • Collaborate closely with developers, product managers, and R&D on release validation • Contribute to improving QA processes, test coverage, and automation practices

• Own critical parts of our data extraction and pipeline infrastructure • Work hands-on with AI to solve real infrastructure challenges • Use AI tooling actively: Claude Code, prompt engineering, agentic coding to accelerate development • Develop and maintain core data extraction and pipeline infrastructure serving 500+ integrations • Own the architecture and execution of pipeline modernization initiatives • Optimize product performance and reliability at scale: identify bottlenecks, manage resource constraints, and ensure data flows without disruption • Drive technical decisions, and maintain high code quality

• Build and maintain dashboards and reports in Looker, Power BI, and Tableau • Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations • Manage and enhance data transformations with dbt where necessary • Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights • Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness • Use Git for version control and collaboration • Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly • Leverage AI tools to be 10x more productive than the average analyst

• Help clients maximize value from their marketing data • Own client delivery end-to-end for assigned accounts — from data modeling through final reporting • Design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting • Manage data transformations in dbt and work with complex, multi-source data architectures • Leverage AI tools (e.g. Codex, Claude) to accelerate workflows • Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly

• Help clients maximize value from their marketing data • Own client delivery end-to-end for assigned accounts • Design and maintain dashboards across BI platforms • Ensure data quality and deliver clear, actionable reporting • Manage data transformations in dbt • Proactively identify opportunities, trends, or risks in marketing data • Leverage AI tools to accelerate workflows

• Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights. • Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup. • Design and maintain data models that consolidate data from multiple marketing platforms and sources. • Map and document data flows across complex, multi-source schemas. • Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. • Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. • Manage and enhance data transformations with dbt. • Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. • Use Git for version control and collaboration.

• Help clients maximize value from their marketing data • Own client delivery end-to-end • Design and maintain dashboards across BI platforms • Ensure data quality and deliver clear reporting • Manage data transformations in dbt • Use AI tools to accelerate workflows

• Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights • Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup • Design and maintain data models that consolidate data from multiple marketing platforms and sources • Map and document data flows across complex, multi-source schemas • Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly • Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations • Manage and enhance data transformations with dbt • Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness • Use Git for version control and collaboration

• Accelerate content-driven pipeline by building and operating systems that produce high-volume, high-relevance content. • Own the full stack — from ideation infrastructure to production automation to SEO architecture to performance feedback loops. • Build tools when none exist. Ship content when they do. • Drive measurable organic growth through keyword strategy, content clustering, technical SEO fixes, and search-intent alignment. • Track rankings and correlate SEO performance to pipeline. • Demonstrate ability to hypothesize, test, and learn consistently. • Maintain a quality bar where published content complies with internal styleguide and requires minimal revision from editorial leadership. • Progressively automate content production to minimize human intervention. • Build custom tooling where off-the-shelf solutions fall short. • Keep content workflows documented, operational, and current. Proactively update systems when new technology or tooling emerges.

• Able to work with clients to utilize marketing analytics and AI tools to analyze campaign performance, derive insights, and optimize strategies • Prioritize customer success with a strong commitment to high-quality support and delivery. • Independently create detailed project and resource plans while collaborating closely with clients and internal Professional Services practice leads. • Lead strategic client meetings and consultations, providing guidance and expertise. • Manage client relationships end-to-end, maintaining accountability throughout the entire client lifecycle. Including contract discussions, upsell opportunities research, and budget management. • Partner closely with Sales, Engineering, Product, and Support teams to ensure alignment with company goals and seamless execution.