Go To Market Engineer

Metabase is looking for our first Go To Market Engineer to support our Sales team. This is a hybrid role that blends Revenue Operations, GTM systems, and hands on experimentation. If you’re someone who loves working with Sales teams, building processes, and running experiments, we’d love to chat with you. In this role, you’ll design plays, not just executed pre-designed plays. You’ll test new messaging, channels, and signals, then turn your insights into scalable documented playbooks. Your work will directly influence how our team reaches the right companies, at the right time, with the right messaging. You’ll also become a co-owner of our GTM tooling: Clay, Unify, CommonRoom, Salesforce, Zapier, etc. Part of your job will be ensuring these tools speak with each other, and we can measure what’s working (and what isn’t) without friction.

What you’ll do:

• • Build, iterate, and operationalize outbound plays that drive Sales pipeline
  • Run experiments across messaging, channels, and signals
  • Analyze results, summarize insights, and translate findings into scalable and documented playbooks
  • Manage systems: Clay, Unify, CommonRoom, Salesforce, Zapier, etc.
  • Help us identify intent signals across our channels and turn them into actionable outbound plays

What we’re looking for:

• • Ability to design and build outbound plays end to end - including messaging, targeting logic, triggers, and defining channels.
  • Experience in creating repeatable outbound playbooks.
  • Hands on experience generating sales pipeline through outbound outreach or experiments.
  • Comfortable working with GTM tools like Salesforce, Unify, Clay, etc.
  • Familiar with Salesforce and basic admin skills.
  • Ability to stitch together data from various tools.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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