GTM Engineer, Applied AI

TLDR

1d•$175,000 - $205,000•Remote

About The Position

The Go-to-Market (GTM) Engineer role at TLDR is a critical building position focused on owning and optimizing the company's GTM systems end-to-end. This role operates within the Applied AI team, providing significant autonomy and a direct impact on revenue generation. The engineer will be responsible for the input and interface layer of the revenue stack, with an AI-first approach to solving problems traditionally handled manually. This includes managing systems like HubSpot, ensuring data integrity, evaluating new technologies, and partnering with the Head of Applied AI on the broader AI x GTM operating model. The position is key to supporting TLDR's revenue targets.

Requirements

4–6 years owning GTM systems at a B2B SaaS or B2B tech company
Experience ideally from an early-stage (Series B–C) environment where you ran GTM systems end-to-end as a single owner
HubSpot ownership beyond admin
Strong critical thinking and consultant-style communication
A product mindset for solution design balanced with pragmatic urgency
Root-cause diagnosis paired with quick, clear proposals
Hands-on data-integrity ownership (pipeline monitoring, field population, accuracy)
Fluency in what AI-first GTM systems look like, applying AI to problems like attribution
Familiarity with how APIs and integrations work

Nice To Haves

Responsibilities

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.