CanadaStaff Platform Engineer
1 мес. назад
200k–250k USD / yearCanadaWorldwideLeadRemote
node.jstypescriptgraphqlpostgresqlmongodbreact
Engineer responsible for designing, building, and maintaining backend APIs and services for an AI-native marketing platform.
О компании
- 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.
Требования
- 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'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
- You've designed asynchronous, event-driven systems (queues, background jobs, messaging) that run under real production load, not just consumed them
- You've owned hard third-party integrations end to end, including auth, rate limits, retries, and failure modes (ad-platform APIs like Meta's are a plus)
- You've simplified data architecture at scale: schema design, ETL pipelines, and storage choices (PostgreSQL, MongoDB, or other document stores) that held up as data volume grew
- 6+ years building and maintaining large-scale software applications, with recent years operating at a Staff or Lead IC level: setting technical direction, not just executing it
- A track record of taking products from 0 to 1, ideally at Series A to C startups
- You raise an engineering team's bar: design reviews, mentoring, and standards other engineers adopt
- Comfort with a fast pace: short project cycles, evolving requirements, high ownership
- Exceptional written and verbal communication, including translating technical issues into business impact
- Experience building or integrating LLM-powered product features or agent systems
- Able to work with significant overlap to Eastern Time
Будет плюсом
- Founder or founding-engineer experience
- Experience with Azure or another public cloud platform
- Experience in adtech, martech, or marketing/creative analytics
Условия
- Competitive compensation, including equity for all employees
- Health benefits from day one
- Monthly health and lifestyle stipend, 20 days PTO, and a $1,500 work-from-home stipend
- Remote-first with optional office hubs, in-person build weeks every two months, and a summer retreat
- We have a Toronto based office Hub for those wishing to meet in person
Другое
- 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
- 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.