• Engage with clients to understand their business objectives, challenges, and pain points. • Conduct in-depth discovery sessions to gather requirements and define the scope of AI projects. • Design end-to-end automation solutions that align with clients' specific needs and objectives. • Act as the primary technical advisor to clients, providing insights on AI best practices, potential use cases, and the feasibility of AI projects based on available data and resources. • Develop and deliver compelling presentations and demonstrations of AI solutions to clients. • Collaborate with data scientists and engineers to create AI prototypes and PoCs that showcase the capabilities and potential impact of proposed solutions. • Build and maintain strong relationships with clients, understanding their evolving needs, and identifying opportunities for future AI projects and engagements.

• Work directly with customer stakeholders to understand business and technical objectives • Design architectures across AWS, Azure, and GCP • Lead discovery workshops and architecture assessments • Translate complex technical challenges into practical roadmaps • Serve as a trusted advisor to engineering leaders and executives • Lead cloud cost optimization initiatives for enterprise customers • Identify architectural opportunities to improve efficiency and reduce spend • Design governance frameworks that sustain long-term savings • Help customers establish FinOps best practices • Leverage Helias and other optimization tools to drive measurable outcomes • Help customers adopt AI across engineering and operational workflows • Design solutions that incorporate AI-assisted automation and decision-making • Evaluate AI technologies, platforms, and tradeoffs • Guide customers on practical AI adoption strategies • Guide engineering teams through architecture decisions • Mentor engineers and architects • Ensure solutions are scalable, secure, and operationally sound • Provide technical leadership throughout modernization programs

• Lead cloud cost optimization initiatives across large enterprise environments • Identify waste, inefficiencies, and architectural opportunities for improvement • Design governance frameworks that sustain long-term cloud efficiency • Analyze cloud usage patterns and spending trends • Partner with engineering teams to implement optimization recommendations • Work with cloud cost and usage data at scale • Design and optimize reporting, analytics, and decision-support systems • Build insights that drive cost optimization decisions • Collaborate with customers on cloud financial visibility initiatives • Lead discovery sessions and optimization reviews • Present recommendations to technical and business audiences • Build trusted advisor relationships with customers • Guide engineering and data teams • Establish best practices around cloud efficiency • Mentor team members • Drive architecture decisions that improve both technical and financial outcomes

• Be the primary technical resource for the Technical Account Management team - answering questions, investigating issues, and unblocking client-facing work. • Troubleshoot and resolve technical problems across campaigns, tracking tags, data pipelines, reports, and internal tooling - including high-impact cases on key accounts. • Process and manage large volumes of structured client data files containing product and offer information used in ad campaigns - from initial setup and custom processing to diagnosing and fixing errors • Configure and deploy tracking tags and client integrations, including GTM implementations and reporting integrations. • Write scripts and automation solutions using Node.js across a range of data sources - APIs, XML, CSV, JSON, Google Sheets, BigQuery, PostgreSQL. • Build and maintain scheduled automations and automated data flows across multiple systems and integrations. • Contribute to internal documentation and knowledge sharing across the team.