• Serve as a primary technical authority and strategic advisor for customers in the Middle East • Lead the full technical sales cycle from discovery and solution design to proof-of-value and deal closure • Influence high-value security investments and drive revenue growth through superior solution design • Lead discovery sessions to architect comprehensive solutions that address specific customer threats and compliance requirements • Collaborate across functions to integrate identity security solutions with broader networking portfolios • Foster a culture of high performance and innovation within the team

• Lead overall Oracle CX solution strategy and architecture • Define future-state Customer Service and Field Service operating model • Conduct executive workshops and CX transformation assessments • Align business processes with Oracle CX capabilities and industry best practices

• Lead the design and implementation of scalable, secure, and high-performance data architecture on Databricks • Define end-to-end data pipelines (ingestion, transformation, serving) using Spark and Delta Lake • Drive migration and modernization initiatives from legacy platforms to Databricks • Establish best practices for data engineering, performance optimization, and cost management • Design and implement data governance, security, and compliance frameworks • Collaborate with business stakeholders, data scientists, and engineering teams to translate requirements into technical solutions • Provide technical leadership, mentorship, and guidance to development teams • Ensure data quality, reconciliation, and reliability across data workflows • Integrate Databricks with enterprise tools (e.g., MuleSoft, Alteryx, BI/reporting platforms) • Stay current with Databricks innovations and recommend adoption of new capabilities (e.g., ML, AI, DBSQL, Unity Catalog)

• Build and ship AI agents, APIs, and applications on Affirm's internal platform (Snowpark Container Services / Quicksilver). You own the full lifecycle: architecture, containerization, networking, secrets, CI/CD, monitoring, and fixing what breaks. • Turn messy business requirements from People Operations stakeholders into production systems. Integrate with Workday, Notion, and case management tools so AI surfaces real answers from governed content, not model guesses. • Navigate Affirm's existing security and data governance infrastructure to get AI systems running safely on people data. RBACs, data classification, and access policies already exist, but connecting them across systems (Workday, Snowflake, case tools) is where it gets messy. You figure out what's allowed, build within those constraints, and make sure employee data stays where it's supposed to. • Design reliability infrastructure for multi-model LLM services. Structured output validation, fallback chains, circuit breakers for external APIs, and quality controls that catch hallucination before users see it. • Work directly with non-technical stakeholders to scope problems, make architecture decisions, and give honest assessments of what AI can and can't do. You translate in both directions. • Contribute to the team's shared Python codebase, dbt models, and Snowflake infrastructure as part of a small, full-stack team that ships fast. • Own what you build. When something breaks in production, you diagnose and fix it.