Responsibilities

• Rapidly prototype AI‑infused marketing tools and experiences: agentic workflow automation, atomic content generation & assembly, dynamic landing page generators, GPT‑based chat interfaces, predictive audience orchestration and more.
• Build and iterate on marketing MVPs using Python, Integrated Development Environments (e.g., Cursor, Windsurf, Claude Code), and generative AI frameworks.
• Own the MCP and API integration layer for Marketing Futures. Design, build, and operate custom MCP servers that expose Intuit's marketing data and actions (campaign performance, audience segments, creative assets, CMS content, CDP profiles, ad spend, search and GEO signals) to 3P and internal agentic systems. Define the schemas, authentication patterns, rate limiting, and observability that make these servers safe for production use. Wrap legacy APIs and fragmented vendor SDKs (SA360, Google Ads, Meta Ads, Adobe, and first party Intuit services) into clean, agent consumable tool interfaces so marketers and agents can operate against a single source of truth instead of swivel chairing between platforms.
• Lead the engineering of a scalable AI agent ecosystem, implementing Agent-to-Agent (A2A) protocols for multi-agent orchestration and developing custom MCP connectors for Slack, Google Workspace, Databricks, AWS, GCP and 1P platforms/services to bridge fragmented marketing workflows into a centralized, high-concurrency automation platform
• Facilitate technical integration between Marketing Futures pilots and production systems: CMSs (Content Management Systems), CDPs (Customer Data Platforms), ad platforms (Google Ads, Meta Ads), internal APIs.
• Design and execute A/B testing frameworks for AI‑enhanced marketing experiences; measure and report on performance lift, conversion impact, and efficiency gains.
• Develop automation scripts and workflows that reduce manual effort in campaign operations, creative production, and reporting.
• Partner with product, engineering, data science, and product teams to evaluate emerging AI tools and ensure marketing pilots meet technical standards for scalability and security.
• Build internal tools and prototypes that demonstrate the value of AI‑driven workflows, supporting the team’s evangelism and adoption efforts.
• Contribute to internal prompt libraries, technical documentation, and training materials that enable the broader marketing org to leverage AI tools independently.