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Arcade

Founding GTM Engineer

Presidio, CAfulltimemidAdded 6 days ago

About this role

Arcade seeks a founding GTM engineer to build scalable, data-driven go-to-market systems for an AI physical product creation platform. You'll own B2B customer acquisition and growth from zero, treating GTM as an engineering problem rather than traditional marketing, working directly with the CEO and leadership team.

What you'll do

  • Build ideal customer profile from raw datasets and rank the addressable market by priority
  • Design and execute tech-enabled outbound campaigns across email and direct messaging at scale
  • Develop systems to identify and convert warm leads into qualified pipeline
  • Manage paid acquisition campaigns across LinkedIn, Instagram, and emerging channels, optimizing for pipeline and revenue
  • Own end-to-end growth engine spanning acquisition, activation, conversion, and retention
  • Pressure-test market hypotheses empirically and iterate on growth strategies

What they're looking for

  • Data science and quantitative analysis
  • SQL and Python (or equivalent programming)
  • No-code and low-code GTM tools
  • Paid acquisition and performance marketing
  • Business acumen and unit economics reasoning
  • Data manipulation and analytics
  • Outbound campaign design and execution
  • System thinking and resourcefulness

Benefits

  • Define go-to-market for a new AI category from the ground up
  • Significant ownership with visible business impact
  • Competitive compensation and meaningful equity
  • Daily lunch provided
  • Company events
  • Work with proven founder and world-class investor base
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Arcade

Arcade builds an AI-powered physical product creation platform that leverages generative AI and large language models to enable users to design and create physical products. The company is hiring Applied AI Engineers to develop and deploy AI models in production, and Product Engineers to own end-to-end features combining AI, system design, and user experience.

View all jobs at Arcade

Likely interview questions

  • Walk us through a time you identified an addressable market opportunity using data—how did you size it and validate your assumptions?
  • Describe your experience building or scaling outbound campaigns. What metrics did you optimize for and how did you measure success?
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