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Salary: USD 164,000 - 246,000 / annual
Klaviyo is seeking a Senior GTM Architect to own the operational infrastructure powering the company's go-to-market engine. This role sits at the center of Klaviyo's GTM Systems team, which connects marketing, sales, partnerships, and customer success through integrated systems and AI-driven workflows.
You will be the domain expert responsible for end-to-end architecture across Salesforce, marketing automation, sales engagement, data enrichment, and customer success/support platforms. Your responsibilities include:
• Own and architect the complete GTM systems stack (CRM, marketing automation, sales engagement, data enrichment, CS/support), ensuring seamless integration and clean bidirectional data flow across marketing, sales, and customer success functions.
• Build and deploy agentic AI workflows into production that replace manual GTM work with intelligent, auditable automation—not just pilots, but production systems.
• Redesign core GTM processes (lead-to-revenue, opportunity management, renewals/expansion, support handoffs) around AI-native approaches, evaluating and piloting AI-native tools rather than administering the existing stack.
• Stay hands-on by architecting and shipping meaningful pieces of the solution yourself, including Apex, LWC, SOQL, integrations, and AI orchestration layers. Track your work transparently and set the technical bar through code review and pairing.
• Establish data quality and governance standards that keep GTM data trustworthy at scale, and build the reporting infrastructure that leadership relies on for decision-making.
• Serve as the go-to domain expert and trusted advisor to Marketing, Sales, RevOps, CX, and senior/executive leadership, translating complex architectural and AI tradeoffs into language that drives decisions.
• Mentor engineers and GTM Systems teammates on system design, AI-native workflow design, and technical tradeoff thinking.
This is not a purely strategic, diagrams-only role. Klaviyo's GTM Systems function is actively shifting toward pro-code, GitHub-based development and agentic AI workflows. You will both set that direction and help build it. Your architecture decisions and code directly affect how Klaviyo generates, converts, and retains revenue. You'll have a broader canvas than a single-function systems role, architecting marketing, sales, and CX as one integrated system. You'll help define what an AI-first GTM operating model looks like at Klaviyo, establishing standards and practices that leadership adopts because you made the case.
The role may require up to 10% travel for new hire onboarding, client/partner work, team meetings, and industry events.
REQUIREMENTS:
• You have been the technical decision-maker for a complex, multi-system GTM platform (Salesforce or similar) spanning more than one function (marketing, sales, and/or customer success). You are able to both design the architecture and build meaningful parts of it yourself, hands-on with Apex, LWC, Flow, and integrations.
• You have hands-on experience designing and building agentic AI/LLM-powered workflows for real business problems, and a clear, defensible point of view on where AI should replace human judgment in GTM workflows and where it shouldn't.
• You can translate ambiguous, cross-functional business problems (marketing, sales, CX, revenue operations) into a technical solution and a clear set of tradeoffs, then explain your reasoning to engineers and business stakeholders alike.
• You operate with a high degree of autonomy and influence: given a fuzzy, high-visibility problem, you can drive it from discovery through design through delivery, and you're comfortable being the person senior and executive leadership turns to for a straight answer.
• You have a track record of raising the bar for a team's engineering practice through code review, GitHub-based workflows, and technical mentorship, even when you're the most senior technical voice in the room.
NICE TO HAVES:
• Salesforce Application Architect, System Architect, or similar architect-track certification (or equivalent demonstrated experience).
• Hands-on experience with LLM/agent frameworks (LangChain, CrewAI, LlamaIndex, Agentforce, or similar) and deploying them into production environments.
• Experience with the broader GTM tooling ecosystem: conversation intelligence (Gong), marketing automation (HubSpot), customer success (Gainsight), and data enrichment (ZoomInfo/Clearbit/Clay) and how each integrates with a CRM.
• Familiarity with vector databases and RAG patterns for grounding AI agents in GTM and CRM knowledge.
• Experience at a high-growth software company supporting marketing, sales, and CX systems together, not just a single function.
