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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 serve as the domain expert for how Klaviyo's marketing, sales, and customer experience systems work together and how they should evolve with an AI-first operating model. Your responsibilities include:
- Own end-to-end GTM systems architecture spanning Salesforce, marketing automation, sales engagement, data enrichment, and CS/support platforms, ensuring seamless integration and clean bidirectional data flow across functions.
- Ship AI agents into production (not pilots), building and deploying agentic workflows that replace manual GTM work with intelligent, auditable automation.
- Redesign core GTM processes around AI, including lead-to-revenue, opportunity management, renewals/expansion, and support handoffs, evaluating and piloting AI-native tools.
- Stay hands-on by architecting and shipping meaningful pieces of the solution yourself using Apex, LWC, SOQL, integrations, and AI orchestration layers. Track work transparently and set technical standards through code review and pairing.
- Establish data quality and governance standards that keep GTM data trustworthy at scale, and build 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 executive leadership, translating complex architectural and AI tradeoffs into actionable language.
- Mentor engineers and GTM Systems teammates on system design, AI-native workflow design, and technical tradeoff thinking.
This is not a purely strategic 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 single-function systems roles, 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 can 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, with 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 technical solutions and clear tradeoffs, then explain your reasoning to engineers and business stakeholders.
- You operate with high 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 straight answers.
- 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.
