Job Description
About GrowthLoop GrowthLoop is rebuilding how enterprise marketing teams operate — and this role is at the center of it. As a Customer Architect, you'll own a portfolio of strategic accounts, lead complex technical implementations, and use AI to help automate your workflows and drive value faster. The GrowthLoop Compound Marketing Engine drives compound growth by accelerating the marketing cycle, using Agentic AI powered by customers’ enterprise cloud data. Our composable Customer Data Platform enables AI-driven audiences and journeys to be activated across marketing channels, streamlining execution and continuously analyzing performance data to make suggestions for campaign optimization. Hundreds of marketers at enterprises like Google, Costco, and Albertsons rely on GrowthLoop to grow faster with agentic AI, drive measurable campaign results, and maximize marketing ROI—compounding growth with every experiment, iteration, and campaign. How We Work Love Our Customer - We win when our customer wins. Make It So - We turn decisions into outcomes. Put We Over Me - We succeed together—or not at all. Be Human - Goodness and kindness compounds. Aim High - We’re here for the long game—act like it. The Opportunity We are looking for an outstanding Senior Customer Architect to play a leading role in onboarding, enabling, and growing some of the world’s most innovative enterprise customers. This is a highly technical senior client-facing role that sits at the intersection of solutions architecture, customer success, and AI-native product adoption. As a Senior Customer Architect at GrowthLoop, you will own the end-to-end technical relationship with a portfolio of enterprise customers — from kickoff through expansion — guiding them to deploy and maximize value from the GrowthLoop Compound Marketing Engine, including our AI features. If you're the kind of person who automates their own workflows before asking for help, who gets genuinely excited about agentic AI patterns, and who wants to work at the intersection of cutting-edge data infrastructure and real marketing outcomes — this role was written for you. What You’ll Do Customer Onboarding & Implementation You'll lead end-to-end onboarding projects for enterprise customers — from pre-kickoff technical discovery through first value milestone and go-live. That means owning the technical implementation of GrowthLoop across cloud data warehouses (BigQuery, Snowflake, Redshift, Databricks), destination integrations, and data modeling. You'll build and maintain the artifacts that make these projects run: project GANTTs, kickoff decks, use case trackers, and data workshop materials. And you'll use AI to make all of it faster and sharper than any traditional implementation motion. Strategic Account Management Post-onboarding, you'll own a book of business as the primary technical point of contact — driving adoption, expansion, and measurable value realization. You'll deliver executive-facing QBRs and EBRs that clearly articulate business impact, use cases activated, and the roadmap ahead. You'll proactively identify expansion opportunities across GrowthLoop's product surface and troubleshoot complex data, integration, and pipeline issues with both urgency and rigor. AI-Powered Marketing Enablement You'll enable agentic workflows for audience ideation, campaign optimization, and performance analysis, systematically reducing engineering dependency at scale. You'll stay current on AI/ML developments in the martech landscape and proactively bring new capabilities to your customers before they have to ask. Automation & Internal Tooling You'll build — not just advise. That means AI-powered automations and internal tools that improve how the entire CA team operates: account health monitoring, QBR generation, support triage. You'll contribute to LLM-powered agents that assist with customer research, escalation management, and onboarding acceleration. And you'll document and share repeatable playbooks that make everyone around you more effective. What We Look For Required Experience 3-5 years in a client-facing technical role: solutions architecture, implementation engineering, technical customer success, or marketing analytics. Strong proficiency in SQL and hands-on experience querying cloud data warehouses (BigQuery, Snowflake, Redshift, or Databricks). Demonstrated ability to lead complex, multi-stakeholder technical projects from kickoff through delivery. Experience with cloud infrastructure (GCP, AWS, or Azure) and data pipeline concepts (ETL/reverse ETL, event streaming, data modeling). Excellent communication skills — ability to translate technical complexity for both engineering and executive audiences. AI & Automation Skills Hands-on experience working with LLMs and AI tools (e.g., Claude, GPT-4, Gemini) for practical use cases: summarization, classification, structured output generation, or agent workflows. Ability to design and build prompt-based workflows or LL
