• Design and implement AI workflows on top of existing data pipelines (product feedback extraction, customer update generation, onboarding plans, win/loss summaries, CRM enrichment) • Extend and refine the current TypeScript-based agent: tooling, tool schemas, routing logic, error handling, and observability • Improve transcript and account matching across Zoom, Granola, and Salesforce using entity resolution, heuristics, and/or LLM-assisted matching • Integrate new data sources (Slack, Zendesk, Google Drive, Nexus/telemetry, email) into the existing AWS stack • Define and consume pre-aggregated account/opportunity summaries in S3 for fast, reliable query • Optimize Lambda-based data processing jobs for cost, reliability, and performance • Iterate on model strategy: cheap routing (e.g., Claude Haiku) vs. higher-quality response models (e.g., Claude Sonnet/Opus) • Evaluate prompts, tool selection quality, and response accuracy with clear metrics • Collaborate with GTM stakeholders (Sales, SE, CS, Product, Marketing) to define, test, and refine AI-assisted workflows • Partner with infra engineering (Terraform, Kubernetes) to ensure deployment, security, and observability are production-ready • Contribute to future UI/UX (Slack bot flows, simple web UI/dashboards) to expose workflows to end users

• Design, develop, and enhance SAP ABAP programs including reports, interfaces, conversions, enhancements, forms, and workflows (RICEF/W). • Build and maintain OData services to support application and integration requirements. • Support and enhance Purchase Order (PO) processes and related MM functionalities. • Develop and support SAP integrations using PI/PO, RFCs, IDocs, and APIs. • Work with inbound and outbound ABAP proxies and manage proxy-based communication. • Monitor, analyze, and resolve interface and integration issues. • Perform debugging, performance analysis, and code optimization. • Collaborate with functional teams to understand business requirements and translate them into robust technical solutions. • Prepare and maintain technical documentation in line with SAP best practices. • Contribute to code quality, development standards, and continuous improvement initiatives.

• Design and build backend services that power the Live MAM platform (e.g., ingest orchestration, media/metadata normalization, rights‑aware APIs, timecode‑based services) • Integrate a third‑party MAM with Netflix’s hybrid infrastructure, ensuring a coherent media and metadata flow across systems • Implement robust data models and APIs for live media assets, metadata, rights and restrictions, and time‑aligned events • Collaborate with partner teams (engineering, production, operations, vendors) to deliver end‑to‑end workflows for live and near‑live content • Work with AI/ML teams and services to incorporate automated tagging and indexing into the MAM ecosystem • Own services in production, including observability, reliability, and on‑call, for systems that support time‑critical live workflows

• Design and develop systems that collect and store raw financial data from products and partners • Manage contract data and currency rates for billing calculations • Perform billing calculations with full transparency and traceability • Validate, monitor, and control financial data pipelines • Export billing results to billing and financial systems (FP&A, intercompany, reporting, etc.) • Integrate multiple internal and external services • Improve system performance, reliability, and data correctness • Work across split infrastructures (ex-IPONWEB and CRTO environments) • Deliver high-quality features on time • Design scalable solutions considering long-term usage • Participate in design and code reviews • Write clear technical specifications when needed • Troubleshoot complex data and system issues • Monitor performance and reliability of services • Write automated tests (unit, functional, integration) • Work independently and take ownership of problems • Collaborate with multiple projects and stakeholders