Marketing Technology Analyst (MarTech)
Job Description
The Role We Need
PadSplit is hiring a MarTech Analyst to own the measurement infrastructure that powers lifecycle marketing for Member and Host Growth to report into our Director of Performance Marketing. This means full ownership of our Customer Data Platform (Segment), our attribution stack (Rockerbox), and the event taxonomy that connects every marketing dollar and effort to member and host outcomes. You'll also serve as the technical bridge between our lifecycle automation platform (Iterable and Pardot) and Salesforce + analytics layer — ensuring that what we send, and when, is informed by clean, trustworthy data.
This is an ownership role, not a ticket-taker role. You will sit at the intersection of marketing, data engineering, and product analytics. If you find joy in diagnosing why two dashboards don't agree, building event schemas that scale across mobile and web, and using AI to eliminate the manual work that slows decisions down — this role was designed for you. You cannot only report on what happened, but can also leverage the data to tell the story and what should be done next.
The Person We Are Looking For
The ideal candidate is a technical builder who has lived inside a CDP and come out the other side with strong opinions about how event data should flow. You have hands-on experience with marketing attribution platforms and know how to interrogate channel performance data rather than just report on it. You are fluent in SQL, comfortable in Python, and you've already incorporated AI tools — LLMs, prompt workflows, or automation pipelines — into your day-to-day work.
You thrive with ownership and ambiguity. You work async in English with confidence. You are the person your last team called when the numbers didn't add up, and you liked that call. You understand that measurement infrastructure does not support work — it is the foundation on which every growth decision is made.
The Role We Need
PadSplit is hiring a MarTech Analyst to own the measurement infrastructure that powers lifecycle marketing for Member and Host Growth to report into our Director of Performance Marketing. This means full ownership of our Customer Data Platform (Segment), our attribution stack (Rockerbox), and the event taxonomy that connects every marketing dollar and effort to member and host outcomes. You'll also serve as the technical bridge between our lifecycle automation platform (Iterable and Pardot) and Salesforce + analytics layer — ensuring that what we send, and when, is informed by clean, trustworthy data.
This is an ownership role, not a ticket-taker role. You will sit at the intersection of marketing, data engineering, and product analytics. If you find joy in diagnosing why two dashboards don't agree, building event schemas that scale across mobile and web, and using AI to eliminate the manual work that slows decisions down — this role was designed for you. You cannot only report on what happened, but can also leverage the data to tell the story and what should be done next.
The Person We Are Looking For
The ideal candidate is a technical builder who has lived inside a CDP and come out the other side with strong opinions about how event data should flow. You have hands-on experience with marketing attribution platforms and know how to interrogate channel performance data rather than just report on it. You are fluent in SQL, comfortable in Python, and you've already incorporated AI tools — LLMs, prompt workflows, or automation pipelines — into your day-to-day work.
You thrive with ownership and ambiguity. You work async in English with confidence. You are the person your last team called when the numbers didn't add up, and you liked that call. You understand that measurement infrastructure does not support work — it is the foundation on which every growth decision is made.