Responsibilities
- Define and own the technical vision for AI-powered GTM systems, establishing the architecture strategy that covers both low-code automation (Workato, MuleSoft, Salesforce Flow) and custom agentic AI builds (LangGraph, LangChain, MCP-enabled pipelines).
- Create and publish reference architectures, design patterns, and decision frameworks that guide when and how the GTM engineering team builds: low-code-first vs. custom, synchronous vs. event-driven, human-in-the-loop vs. fully automated.
- Lead architectural design for the highest-complexity GTM systems, including multi-system integrations, enterprise-scale agentic workflows, real-time event processing, and cross-platform data orchestration across Salesforce, NetSuite, Marketo, and custom data stores.
- Drive the evaluation, selection, and adoption of emerging AI tools, frameworks, and platforms, assessing fit, risk, and maturity to ensure the organization stays at the leading edge without accumulating technical debt.
- Serve as the organization's technical authority on LLM orchestration: prompt safety, retrieval-augmented generation, model context management, tool calling, multi-agent coordination, and responsible AI design.
- Own the integration architecture strategy across the GTM systems landscape, defining the patterns, APIs, event contracts, and data models that allow GTM systems to evolve independently while staying reliably connected.
- Champion a scalable low-code-first strategy: define the governance model, extensibility patterns, and operational standards that allow non-engineers to build automations safely without creating fragility or compliance risk.
- Partner with VP-level GTM stakeholders to translate strategic business goals into concrete architectural roadmaps, with clear trade-offs, timelines, and success criteria.
- Conduct architecture reviews across the GTM engineering team: provide structured feedback, identify systemic risks, and drive continuous improvement in system design quality.
- Produce internal thought leadership, including white papers, architecture decision records (ADRs), and engineering wikis, that raise the collective technical bar across the GTM systems organization.
