GTM Engineer, Applied AI

• Own GTM systems end-to-end: HubSpot administration, attribution, quota updates, new-product launches, quarter-over-quarter transitions, and CSAT plumbing.

• Own data integrity: build pipelines right and keep fields accurate and flowing downstream.

• Diagnose recurring problems, decide whether to quick-fix, automate, or re-architect, and build the fix.

• Evaluate net-new systems (e.g., Sponsy alternatives) and recommend a path forward.

• Bring an AI-first lens to classic RevOps problems like attribution, and partner with the Head of Applied AI on the broader AI × GTM operating model.
  
  

In your first 6 months:

• You're the single accountable owner of the GTM systems ring, with the contractor-held work transitioned to you.

• You've built the data-integrity layer - dashboards on field completeness and pipeline health, with alerting on top so no one checks by hand.

• You've shipped your first wave of automations and agent workflows, each with monitoring attached.

• You've documented it - fix-it procedures good enough that a break doesn't require you.
  
  

• Inc story on how TLDR was founded

• Pricing and demographic information in TLDR’s latest media kit