Staff Platform Engineer

• Role: Full-time, remote-first (significant Eastern Time overlap)
• Location: Remote in Canada (with preference for candidates based in the GTA/Toronto)
• Comp: $200,000-$250,000 base CAD + equity

About Us

We're building an AI-native platform that helps marketing and creative teams at top e-commerce brands understand which ads are working and ship more winning creative across the major ad platforms.

We're a Series B remote-first team. We've been growing 2.5x year over year, led by second-time founders (currently just under 100 headcount). AI isn't a feature here: it's the foundation of our product and of how we build.

How We Work

We ship fast and own what we ship: small teams with full ownership, releasing more than once a day. Our development is AI first: we build AI agents into the product, and our engineers work the same way, directing AI coding tools through much of the output while owning everything that ships.

This role sits on our platform team: designing, building, and maintaining the backend APIs and services the rest of engineering builds on, as our AI workflow platform scales to many times its current surface. Sample projects include building a unified API for our insights data and storing metrics from our data providers at scale. The stack is Node.js, TypeScript, GraphQL, PostgreSQL, and MongoDB, with React on the frontend.

We're remote by default with real in-person time: product, engineering, and design get together for a focused build week every couple of months, plus a summer retreat.

About You

You're a Lead/Staff level Backend Engineer who has spent most of your career at fast-scaling startups, taking products from zero to one with high ownership.

You're pragmatic and quick. You optimize for shipped customer value over polish, you're energized rather than drained by shifting priorities, and you create clarity when it isn't handed to you.

You Bring:

• You've architected backend systems that other teams build on, owning the service boundaries, data models, and API contracts in production (Node.js and TypeScript; strong engineers from similar stacks transfer well)
• You've led complex, multi-engineer backend projects from design through production, and been the technical decision-maker when trade-offs were contested
• AI-native development habits: you direct AI coding tools (Claude Code, Cursor, Copilot, or similar) through much of your output, and rigorously review and own what ships