Customer Architect (Marketing Analytics & Experimentation)

Customer Architect (Marketing Analytics & Experimentation) Customer Solutions Group · Full-Time · Remote, United States We're looking for a Customer Architect who brings marketing analytics expertise to the customer relationship. The best partners to our enterprise teams are practitioners who understand the data challenges these marketers are trying to solve. In this role, you'll partner with AI-forward enterprise teams as they build on GrowthLoop’s platform and own both the technical relationship end-to-end, from kickoff through expansion. 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 Gantt charts, 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. Marketing Analytics & AI Enablement You'll be a hands-on analytics partner to your customers, digging into their data to answer the questions their marketers actually care about: which audiences to target, how a campaign is doing, and what a channel is really worth. You'll put causality to work, helping them move from guessing what drives behavior to knowing which actions change it. You'll set up agentic workflows for audience ideation, campaign optimization, and performance analysis that cut their reliance on engineering. And you'll keep up with what's new in AI and martech, and bring it to your customers before they think to ask. Technical Account Management Once a customer is live, you'll stay their technical point of contact, and partner closely with other Customer Architects on the account side, from business reviews to renewals, to demonstrate the value GrowthLoop is delivering and uncover opportunities where GrowthLoop can do more. You’ll own the technical milestones that come after go-live, and present to executive stakeholders, explaining the business impact of technical work at a level they care about. Automation & Internal Tooling You'll build 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 You Bring Required Experience 3+ years in marketing analytics, data science, or a similar analytical role, working directly with marketing teams on campaign strategy and causal measurement and experimentation. Strong SQL and hands-on experience querying cloud data warehouses (BigQuery, Snowflake, Redshift, or Databricks) Hands-on experience working with LLMs (e.g., Claude, GPT-4, Gemini) for relevant use cases: summarization, classification, structured output, or agent workflows. Comfort evaluating AI and model outputs for accuracy, hallucination risk, and fitness for customer-facing use. Working knowledge of the modern marketing stack: CDPs and activation tooling (Segment, LiveRamp, Fivetran, or similar) and the channels and ad platforms where campaigns run (Google Ads, Meta, Salesforce). Proven ability to juggle multiple customer projects at once, with strong prioritization and time management across competing deadlines. Experience presenting directly to executives, leading the discussion on technical work and translating it into the business impact and strategic priorities they care about. Nice to Have A client-facing technical background: solutions architecture, onboarding, technical customer success, or account management. Experience managing comple…