Backend-Focused Mid-Level Software Engineer

About the Role

We’re looking for a mid-level software engineer 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.