Northbeam is building the world's most advanced marketing intelligence platform, providing top eCommerce brands a unified view of their business data through powerful attribution modeling and customizable dashboards. Our technology helps customers accurately track ad spend, understand the full customer journey, and drive profitable growth. Machine learning has been at the heart of Northbeam since day one: our full suite of measurement, spanning multi-touch attribution, MMM+, and incrementality, is built on it, along with laser-accurate first-party data.

Now we're taking that foundation further, using AI to help brands operationalize their data and turn Northbeam insights into automated decisions. We're experiencing rapid growth, have strong product-market fit, and are looking for the right people to help us scale. At Northbeam, you'll join a team of driven, cooperative, and talented individuals who value personal growth and excellence.

We're a remote-friendly company with physical offices in San Francisco and Los Angeles. Northbeam is fundamentally a data product - the whole company. We don’t sell shoes, ads, or games.

We sell data: quality integrations with a variety of platforms, fresh and reliable data pulls, robust data ingest APIs, correct aggregations, and algorithmic insights on top of that data, all packaged up in a user-facing application. What this means for you is that high-quality, robust data integration is at the core of what we do, and your work will have a direct connection to the company’s success. We're looking for a Staff-level Software Engineer who leans backend and can take product problems from ambiguity through architecture to production.





You'll spend roughly 70% of your time on backend and distributed systems work and 20-30% on frontend, giving you the ability to own capabilities across the stack and to make architectural calls that hold up on both sides of it. You'll take new products from early traction to meaningful scale, and set the technical direction that gets them there. That includes architecting our new incrementality offering into a scalable experimentation platform, defining our approach to near real-time data infrastructure, and establishing how AI shows up in our marketing users' workflows.

You'll partner closely with data scientists, product managers, and designers, and your influence on what gets built will be as real as your influence on how. Architect our new incrementality product into a reliable, repeatable experimentation platform, and own the technical decisions that determine whether it scales. Define the patterns for AI-powered workflows that help marketers evaluate performance and act on insights — the first version and the framework that follows it.

Lead work on connection-state systems and the partner ecosystem across data ingestion and exports. Shape technical approach in adjacent product areas such as role-based access control (RBAC).

Multiply the team: design review, mentorship,



and raising the standard for what ships. 8+ years designing and building distributed backend systems, microservices, APIs, and/or data processing systems in Python. ~ A track record of partnering with product managers, designers, and data scientists to shape what gets built, not only how. ~ Demonstrated ability to turn ambiguous product needs into sound technical architecture and production-ready solutions — repeatedly, across different problem spaces. ~ Working frontend experience with React and TypeScript; deep frontend specialization is NOT required. ~ Strong coding fundamentals, with AI used as an accelerator rather than a substitute for core capabilities. ~ A generalist mindset and willingness to work across backend, frontend, pipelines, and infrastructure when the product requires it. ~ Bonus Skills &

Experience Most of your experience is in data-intensive backend engineering, but you've also shipped frontend work. In addition to your base salary, we offer an equity package, comprehensive healthcare benefits (medical, dental, and vision), and a 401(k) plan. Our team enjoys a flexible PTO policy, 12 company-paid holidays, and 12 weeks of paid parental leave. We also provide a $500 work-from-home stipend to support your remote setup. The interview process varies by role but typically begins with a 30-minute interview with a Northbeam recruiter, followed by a video interview with the hiring manager. Next, candidates complete a role-specific video interview followed by video or onsite interviews with several team members. The final step is a video interview with our CEO/Co-founder.

📌 Staff Software Engineer, Data [Remote (Vancouver)
🏢 Northbeam
📍 Vancouver