[Hiring] Senior Customer Architect @GrowthLoop

Role Description

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.

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.

What You’ll Do

• Customer Onboarding & Implementation:
  • Lead end-to-end onboarding projects for enterprise customers.
  • Own the technical implementation of GrowthLoop across cloud data warehouses (BigQuery, Snowflake, Redshift, Databricks).
  • Build and maintain project artifacts: project GANTTs, kickoff decks, use case trackers, and data workshop materials.
  • Use AI to enhance implementation efficiency.
• Strategic Account Management:
  • Own a book of business as the primary technical point of contact.
  • Drive adoption, expansion, and measurable value realization.
  • Deliver executive-facing QBRs and EBRs that articulate business impact and roadmap ahead.
  • Identify expansion opportunities and troubleshoot complex data issues.
• AI-Powered Marketing Enablement:
  • Enable agentic workflows for audience ideation, campaign optimization, and performance analysis.
  • Stay current on AI/ML developments and proactively bring new capabilities to customers.
• Automation & Internal Tooling:
  • Build AI-powered automations and internal tools for the CA team.
  • Contribute to LLM-powered agents for customer research and onboarding acceleration.
  • Document and share repeatable playbooks.

Qualifications

• 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.

Requirements

• Hands-on experience working with LLMs and AI tools (e.g., Claude, GPT-4, Gemini) for practical use cases.
• Ability to design and build prompt-based workflows or LLM-powered automations using APIs, Python, or no-code tools.
• Experience identifying opportunities for operational efficiency and leveraging AI tools.
• Comfort evaluating AI outputs for accuracy, hallucination risk, and fitness for customer-facing use.

Nice to Have

• Experience with CDP, marketing activation, or composable data stack tooling (e.g., Segment, LiveRamp, FiveTran).
• 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.

Benefits

• Competitive total cash compensation package of $180,000 to $200,000 CAD, plus meaningful equity.
• Spot bonuses for major milestones and product feature launches.
• Clear opportunities for career progression and cross-functional collaboration.
• Flexible, remote-first work culture.
• Flexible time off with monthly Recharge Days.
• Comprehensive health, dental, vision, life, and disability coverage for Canadian employees.
• 401(k) or RRSP (Canada) Program with generous company match.
• Quarterly Hackathons and annual professional development stipend.