Product Engineer — Monetization & Commerce Data

See something that should exist? Build it.
See a better way? Do it.

At Terrific , every role directly impacts how we grow from product to revenue to customer experience. We’re building the next generation of social commerce through live shopping powered by real-time data and AI.

And we believe customer data should belong to the brands who earn it — not third-party platforms.
Product Engineer — Monetization & Commerce Data
Europe · Remote · Full-time Contract
Product & Engineering · Commerce Media · Data · AI
Start date: November 2026

See data that should be worth money? Make it worth money.
See a number nobody can explain? Go find out why.

At Terrific , we're building the next generation of social commerce—helping brands and publishers turn content, creators, live experiences and AI into commerce they own.

Our technology brings shoppable video, live shopping, interactive timelines, polls and product carousels directly onto a merchant's website or app.

Now we're looking for a Product Engineer to turn what those experiences already know about a shopper into a monetization product—and to decide what that product should be.
THE OPPORTUNITY

This is not a role where you'll inherit a roadmap.
You'll write it.

Terrific sits on something most advertising companies cannot get. On a single customer's domain we see the video someone watched, the poll they voted in, the product they tapped, the coupon they used, what went into the cart and what they actually bought—first-party, consented, tied to a real catalog and a real checkout.

Most advertising systems have one half of that and model the other half.
Nobody has turned it into a product yet.

That's this role. You'll build the layer that lets a retailer sell advertising inside their own site to the brands they already stock, and lets a publisher prove what their audience is worth in transactions rather than impressions.

There is no ad server today. No auction. No campaign model. No advertiser interface. It is a blank page, and you get to decide what goes on it.
WHAT YOU'LL BUILD

First, the thing only we can build: measurement.

Impression, view, engagement, product interaction, add to cart, checkout, purchase. Client-side and server-side. One canonical event model, identity resolution, consent, and reporting a brand manager can read without an analyst.

Then the thing that makes money: on-site retail media. Sponsored placements on inventory we already control—timeline, shoppable video, live—sold to brands the retailer already stocks. No auction required. No ad server required.

After that, connectivity. Campaign and audience APIs into external buying platforms, and eventually programmatic supply through Google Ad Manager and Prebid.

We expect to rent more of the advertising stack than we build. You'll help decide which parts.
WHAT YOU'LL OWN

- Writing the spec. You get a problem and an account, not a ticket.

- Designing the event model across every Terrific surface—video, live, timeline, polls, chat, cart, checkout.

- Identity resolution and consent, built so our customers keep their data structurally and not only contractually.

- Attribution: connecting advertising exposure to transactions, and being able to defend the method to a customer in one sentence.

- Reconciliation between third-party reporting and our own logs, which never match.

- The advertiser-facing surface—campaign setup, pacing, delivery, reporting.

- Sponsored placement delivery and ranking on Terrific inventory.

- Build-versus-rent recommendations, including which providers you'd shortlist.

- Instrumenting what you ship and watching it get used.

- Deciding what not to build this year, and saying so out loud.

You won't be expected to know advertising technology on day one. You will be expected to form an opinion, test it cheaply, and change it when the evidence says so.
WHO YOU ARE

You're an engineer who thinks in products.

You've shipped data systems that carried real volume, not