• Be the advocate for AI adoption across Asaas’ operational processes. • Work collaboratively with stakeholders from multiple Asaas business areas to identify opportunities to solve real problems using AI, with a focus on achieving operational efficiency gains. • Identify process bottlenecks and design solutions to address them, monitoring the direct impact on operational efficiency and process quality. • Manage the backlog of internal AI initiatives using prioritization frameworks to ensure focus on the highest-impact deliveries. • Negotiate deadlines, scopes, and resources with leaders from other areas to ensure aligned expectations. • Work closely with the AI technical team to validate solution feasibility and ensure business requirements are met in developed solutions.

• Responsible for ensuring technical solutions are aligned with industry-wide best practices. • Ensure end-to-end solution designs align with clients’ technology strategies and requirements. • Leading and inspiring other data professionals to deliver high-quality work.

• Lead engagements from discovery to delivery with full ownership and accountability. • Architect, implement, and optimize large-scale Spark/Databricks workloads focusing on scalability and cost-efficiency. • Apply expert-level Spark fundamentals to troubleshoot and tune distributed data jobs and SQL workloads. • Design and execute PoCs and workshops to demonstrate solution vision and inspire customer confidence. • Act as a technical advocate for customers, anticipating issues and applying creative, data-driven solutions. • Collaborate with product and engineering teams to improve customer experience and platform features. • Champion best practices in PySpark, Databricks, and Lakehouse design while mentoring junior engineers.

• Lead the technical sales process for acquiring new customers, together with Account Executives • Discover and analyze customer challenges, delivering product demonstrations, engaging in Proof of Concepts and technical discussions as well as answering to others • Engage with new and existing partners and service providers to find new mutual opportunities and technical partnerships • Support the success and growth of the existing customer base, alongside Customer Success Managers • Engage with other departments, such as marketing and product development, to influence product direction based on customer feedback and to support on webinars and content generation