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 TAM 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 Technical Account Manager 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 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.

Nice to Have

• 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.

This is an AI-native role. GrowthLoop’s Compound Marketing Engine is powered by agentic AI. We expect our Customer Architects to deeply understand, adopt, and champion AI-powered workflows — both in the product and in how they work. You should come in having already built something with an LLM, whether that’s a prompt chain, an automation, or an agent. Curiosity about AI isn’t enough — we want practitioners.

Compensation 

This role comes with a total cash package of $180,000–$200,000 CAD (or $150,000– $160,000 USD). Total compensation includes meaningful equity with accelerated vesting and no preferred class ahead of you. This means our team owns on the same terms as our investors. We came up bootstrapped and have scaled with discipline, and we share that ownership with those helping us build. 

Open to candidates based in Canada or the United States. Final base salary decisions will be based on a variety of non-discriminatory factors unique to each candidate, such as the individual’s skill set, depth of experience, and qualifications.

What We Offer 

We want GrowthLoop to be a place where you can do some of the best work of your career and be well supported while you do it. Here’s what that looks like today:

Flexible, Remote-First Work

• Remote-first culture, with teammates and leaders across North America and hubs in New York, San Francisco, and Toronto.
• Flexible PTO, with the trust and encouragement to actually use it.
• Company-wide Recharge Days every month so the whole team can fully unplug.
• An annual home office stipend to set up your workspace.

Health, Wellbeing & Retirement

•  We cover 100% of employee medical premiums (plus dental and vision) in the US, and fully cover health, dental, vision, life, and disability for employees and dependents in Canada — with a generous retirement match (401(k) or RRSP) 

Craft, Growth & Impact

• Exceptional work compounds here, opening the door to more ambitious problems, broader scope, and cross-functional impact as we grow.
• Quarterly hackdays, where we set the day-to-day aside to explore bold ideas and build outside the usual roadmap.
• A flexible annual professional development stipend to help you sharpen your craft and keep growing in the direction you want to go.
• Direct collaboration with founder-led leadership that stays close to our product, customers, and people. 

GrowthLoop is an Equal Opportunity Employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.