Staff Python engineer architecting distributed data, experimentation, and AI systems. Building scalable marketing intelligence infrastructure for eCommerce brands at Northbeam.
Responsibilities
Architect the incrementality product into a reliable, repeatable experimentation platform
Set the direction for near-real-time ingestion and processing beyond batch workflows
Define patterns for AI-powered workflows helping marketers evaluate performance and act on insights
Lead connection-state systems and the partner ecosystem across data ingestion and exports
Shape technical approaches in adjacent product areas such as role-based access control (RBAC)
Take products from ambiguity through architecture to production and scale
Partner with data scientists, product managers, and designers
Conduct design reviews, mentor engineers, and raise the standard for shipped work
Requirements
8+ years designing and building distributed backend systems, microservices, APIs, and/or data processing systems in Python
Deep experience owning system architecture, including tradeoffs that surface at scale
Track record partnering with product managers, designers, and data scientists to shape what gets built
Startup experience, or experience in an environment demanding breadth, sound judgment, and problem-solving under ambiguity
Ability to turn ambiguous product needs into sound technical architecture and production-ready solutions
Fluency navigating complex datasets and interconnected tables
Working frontend experience with React and TypeScript
Strong coding fundamentals, using AI as an accelerator rather than a substitute for core capabilities
Generalist mindset and willingness to work across backend, frontend, pipelines, and infrastructure
Experience mentoring engineers and improving team operations
Benefits
Equity package
Comprehensive healthcare benefits (medical, dental, and vision)
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