Software Engineer, Python

### **About the Role** We're looking for a **mid-level software engine**er who leans backend and enjoys building features end to end. You'll spend roughly 70% of your time on backend work and 20–30% on frontend, which gives you the ability to carry a feature across the stack rather than handing it off. You'll help build out new products and capabilities as they grow — implementing backend services alongside the frontend components needed to deliver complete product experiences. That work could include contributing to our new incrementality offering as it expands into a scalable experimentation platform, helping build near real-time data infrastructure, or bringing AI into our marketing users' workflows. You'll work day to day with a cross-functional team of data scientists, product managers, and designers, and with senior engineers who will help you grow into larger architectural decisions. ### **Your Impact** - Contribute to our new incrementality product as it grows into a reliable, repeatable experimentation platform. - Help build near-real-time ingestion and processing capabilities as we move beyond batch workflows. - Build 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. ### **What You Bring** - 3+ years of experience building backend services, APIs, and/or data processing systems in **Python.** - Exposure to distributed systems or microservices, and curiosity about how larger architectures fit together. - Experience working alongside product managers, designers, and data scientists, and owning your implementation through to production. - Comfort in a fast-moving or early-stage environment where priorities shift and engineers pick up whatever the product needs. - Experience taking defined product requirements and turning them into working, production-ready code. - The ability to work through unfamiliar datasets and interconnected tables to investigate issues and trace dependencies, with support when the path isn't obvious. - Working frontend experience with technologies such as React and TypeScript; **deep frontend specialization is not required.** - Strong coding fundamentals and real problem-solving instincts, 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. ### **You may be a strong fit if** - Most of your experience is in **data-intensive** backend engineering, but you have also shipped frontend work.