About the role

Role Overview

As a Senior Customer Architect at GrowthLoop, you will lead complex, technical, client-facing implementations for enterprise accounts. You will combine solutions architecture, customer success, and AI-native product adoption to drive onboarding, value realization, and expansion.

Responsibilities

Lead end-to-end enterprise onboarding: from technical discovery (pre-kickoff) through first value milestone and go-live.
Own technical implementation of GrowthLoop, including:
- Cloud data warehouse integration
- Destination integrations
- Data modeling
Drive adoption and measurable value across a strategic portfolio of enterprise customers.
Deliver executive-facing QBRs/EBRs and communicate impact.
Build and deploy prompt-based workflows / LLM-powered automations using APIs, Python, and/or automation platforms.
Evaluate AI outputs for accuracy, hallucination risk, and suitability for customer-facing use.
Identify opportunities for operational efficiency, leveraging AI tools to implement improvements.

Requirements

Strong communication skills to translate technical complexity for engineering and executive audiences.
Cloud + data pipeline knowledge (ETL/reverse ETL, event streaming, data modeling).
Proficiency in SQL and hands-on querying of cloud data warehouses (e.g., BigQuery, Snowflake, Redshift, Databricks).
3–5 years in a client-facing technical role (solutions architecture, implementation engineering, technical customer success, or marketing analytics).
Proven ability to lead complex, multi-stakeholder technical projects from kickoff to delivery.
Hands-on experience with LLMs/AI tools (e.g., Claude, GPT-4, Gemini) and use cases such as summarization, classification, structured output, and agent workflows.
Ability to design and build LLM-powered automations (prompt workflows, APIs, Python, or no/low-code automation tools like n8n/Zapier).

Nice-to-Haves

Experience with CDP and marketing activation or composable data stack tooling (e.g., Segment, LiveRamp, FiveTran).
Experience building internal tools/lightweight apps with Python/SQL or low-code platforms.
Familiarity with marketing channels and ad platforms (e.g., Google Ads, Meta, Salesforce).
Exposure to experimentation and incrementality measurement in a marketing context.

About GrowthLoop

GrowthLoop is an enterprise marketing technology company focused on helping organizations deploy and maximize value from its AI-powered marketing engine. The role centers on customer-facing solutions architecture, onboarding, and measurable adoption outcomes across marketing and data platforms.