Senior Software Engineer

Who you are

• 5+ years of experience designing and building distributed backend systems, microservices, APIs and/or data processing systems written in Python
• Multiple years of professional experience building system architecture
• Experience working closely with product managers, designers, and data scientists while independently driving implementation and delivery
• Previous startup experience or working in an environment where engineers need breadth, sound judgment, and strong problem-solving skills
• Demonstrated experience turning ambiguous product needs into sound technical architecture and production-ready solutions
• The ability to navigate complex datasets and interconnected tables to investigate issues, trace dependencies, and identify the right path forward in ambiguous technical situations
• Working frontend experience with technologies such as React and TypeScript; deep frontend specialization is not required
• Strong coding fundamentals and the ability to solve technical problems independently, 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
• Most of your experience is in data-intensive backend engineering, but you have also shipped frontend work

What the job involves

• We’re looking for a senior-level software engineer who leans backend and can take product problems from first principles through implementation
• You’ll spend roughly 70% of your time on backend and distributed systems work and 20–30% on frontend work, giving you the ability to own features across the stack when needed
• You’ll help take new products and capabilities from early traction to meaningful scale — designing reliable backend systems while contributing the frontend components required to deliver complete product experiences
• This work could include helping expand our new incrementality offering into a scalable experimentation platform, building near real-time data infrastructure or building AI into our marketing user's workflows
• You'll have an opportunity to collaborate with a cross-functional team of data scientists, product managers, and designers along the way
• Scale our new incrementality product into a reliable, repeatable experimentation platform
• Develop near-real-time ingestion and processing capabilities to move beyond batch workflows
• Build new AI-powered workflows that help marketers evaluate performance and act on insights
• Improve connection-state systems and help extend the partner ecosystem across data ingestion and exports
• Work on other product areas such as role-based access control (RBAC)
• Contribute to frontend work when needed to deliver complete experiences

The application process

• 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