About the Role
We are looking for a Staff MarTech Engineer to own our end-to-end marketing technology and product-analytics stack. You will be the single owner for how events flow from a user's first click, through onboarding and checkout, into our data warehouse, our product-analytics tooling, and the advertising platforms that drive acquisition.
This is a hands-on individual-contributor role. You will partner daily with engineering, data, growth, and product teams. Success looks like: every conversion captured, every experiment measurable, every advertising dollar getting accurate feedback, and a measurement layer that the whole organisation trusts.
Scope note: this role works closely with the Data Engineering function but does not own warehouse architecture, pipelines, or data modeling. You consume the warehouse — the Data Engineering team builds and maintains it.
Why this role exists — the architecture mandate
To strengthen attribution and protect CAC signal quality as the business scales, we are investing in system-level design rather than incremental tool configuration.
Specifically: an Edge-based and Server-side conversion architecture (Meta Conversions API, Google Enhanced Conversions, TikTok Events API, Cloudflare Workers at the edge) engineered to perform reliably as browser-side tracking continues to evolve, and to keep CAC measurement accurate across ad platforms.
The outcome is a first-party data moat — the foundation that lets every ad-spend decision, experiment readout, and growth bet rest on data the organisation trusts.
What ownership means at the Staff IC level
Ownership in this role means Governance and Truth. You are not a ticket-taker for marketing requests.
You are the single tie-breaker for data integrity. You own the Schema and the Identity Resolution strategy — you define the standards that Engineering and Product must follow so that when the business looks at a CAC report, everyone in the building trusts the number.
You own the 'Why' behi