Senior Customer Architect

GrowthLoop

2h•CA$180,000 - CA$200,000•Remote

About The Position

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. 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.

Requirements

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.
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 LLM-powered automations using APIs, Python, or no-code tools (e.g., n8n, Zapier, Claude, or similar).
Experience identifying opportunities for operational efficiency and leveraging AI tools to make it happen.
Comfort evaluating AI outputs for accuracy, hallucination risk, and fitness for customer-facing use.
You should come in having already built something with an LLM, whether that’s a prompt chain, an automation, or an agent.

Nice To Haves

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

Responsibilities

Lead end-to-end onboarding projects for enterprise customers — from pre-kickoff technical discovery through first value milestone and go-live.
Own the technical implementation of GrowthLoop across cloud data warehouses (BigQuery, Snowflake, Redshift, Databricks), destination integrations, and data modeling.
Build and maintain project GANTTs, kickoff decks, use case trackers, and data workshop materials.
Use AI to make onboarding faster and sharper.
Own a book of business as the primary technical point of contact post-onboarding — driving adoption, expansion, and measurable value realization.
Deliver executive-facing QBRs and EBRs that clearly articulate business impact, use cases activated, and the roadmap ahead.
Proactively identify expansion opportunities across GrowthLoop's product surface.
Troubleshoot complex data, integration, and pipeline issues with both urgency and rigor.
Enable agentic workflows for audience ideation, campaign optimization, and performance analysis, systematically reducing engineering dependency at scale.
Stay current on AI/ML developments in the martech landscape and proactively bring new capabilities to customers.
Build AI-powered automations and internal tools that improve how the entire CA team operates: account health monitoring, QBR generation, support triage.
Contribute to LLM-powered agents that assist with customer research, escalation management, and onboarding acceleration.
Document and share repeatable playbooks that make everyone around you more effective.

Benefits

Spot bonuses for major milestones and product feature launches.
Clear opportunities for career progression and cross-functional collaboration.
Meaningful equity so you share in the value you help create.
Remote-first culture with team members and leaders across North America and beyond, with strong communities in New York, San Francisco, and Toronto.
Flexible, goal-based work style.
Monthly, company-wide Recharge Days to truly unplug.
Annual home office stipend to support your workspace.
Full health, dental, vision, life, and disability coverage for Canadian employees and their dependents (fully employer-paid).
401(k) or RRSP (Canada) Program with Generous Company Match.
Quarterly Hackathons to focus on team passion projects.
Annual professional development stipend.
Work directly with a world-class executive team.
A learners’ mindset culture.