Senior Software Engineer, Python

Northbeam is building a marketing intelligence platform that helps eCommerce brands unify business data, measure marketing performance, and drive profitable growth through attribution, machine learning, and AI. The Senior Software Engineer will focus primarily on backend and distributed systems work while contributing to frontend development, scaling experimentation and data infrastructure, building AI-powered workflows, and delivering cross-functional product solutions.

Responsibilities:

• 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

Requirements:

• 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