Type of contract for this position: Permanent contract
The position
Job description
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
Set the direction for near-real-time ingestion and processing as we move beyond batch workflows
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
Preferred experience
Strong coding fundamentals, with AI used as an accelerator rather than a substitute for core capabilities
8+ years designing and building distributed backend systems, microservices, APIs, and/or data processing systems in Python
A generalist mindset and willingness to work across backend, frontend, pipelines, and infrastructure when the product requires it
Experience mentoring engineers and improving how a team operates
Deep experience owning system architecture, including the tradeoffs that only surface at scale
Demonstrated ability to turn ambiguous product needs into sound technical architecture and production-ready solutions — repeatedly, across different problem spaces
Fluency navigating complex datasets and interconnected tables to investigate issues, trace dependencies, and find the right path forward
Working frontend experience with React and TypeScript; deep frontend specialization is NOT required
Startup experience, or experience in an environment demanding breadth, sound judgment, and strong problem-solving under ambiguity
A track record of partnering with product managers, designers, and data scientists to shape what gets built, not only how
Most of your experience is in data-intensive backend engineering, but you’ve also shipped frontend work
You’ve been the person a team turns to when the architecture question doesn’t have an obvious answer
Recruitment process
We accept applications on an ongoing basis
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. The entire interview process is usually 5-7 interviews total and requires around 5-8 hours of your time
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