Software Engineer, Commercial Intelligence and Analytics
ChicagoAll locationsChicagoBellevueLos AngelesNew YorkSan Francisco On-site
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About the role
The Software Engineer owns the design, development, and reliability of intelligence systems from requirements through production. This includes identifying where systems, automation, or infrastructure improvements can unlock better decision support. It also includes architecting insight pipelines, defining technical requirements, and building and deploying scalable solutions. The systems you build should be trusted, understandable, and useful. Success in this role is measured by the durability, reliability, and impact of the systems you ship. At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is We are seeking a Software Engineer, Commercial Intelligence and Analytics to build high-impact analytical systems supporting TTD’s cross-functional teams, with a focus on Sales and Client Services. This role sits at the intersection of commercial analytics, applied intelligence, and go-to-market execution. You will identify system gaps, design solutions, and ship scalable data systems, insight pipelines, and automated workflows that support a broad set of internal stakeholders. This role owns the engineering lifecycle of intelligence systems from requirements and architecture through deployment, monitoring, and iteration.
What you'll bring
- 5+ years of experience in analytics engineering, data engineering, software engineering, or a similarly systems-oriented role with strong quantitative foundations.
- Strong SQL skills and experience working with large, complex datasets in modern data environments.
- Proficiency in Python for building production systems, automation, and data pipeline development.
- Strong foundation in software development practices including version control (Git), code review, testing, and CI/CD pipelines.
- Experience translating business requirements into technical designs, system architecture, and production-ready deliverables.
- Experience building durable, automated systems rather than relying on ad hoc or manual processes.
- Demonstrated track record of identifying opportunities, proposing solutions, and independently driving systems, automation or technical initiatives from concept through adoption, often in ambiguous or loosely defined environments.
- Experience operating in technical environments while collaborating with a broad set of internal stakeholders, including client-facing teams.
- Familiarity with AI- or LLM-assisted tools and strong judgment in applying them responsibly and validating outputs to ensure accuracy, rigor, and reliability.
- Strong written and verbal communication skills, including the ability to explain findings and tradeoffs clearly to a range of stakeholders.
- Strong attention to data quality, metric consistency, and engineering rigor.
- Experience supporting Sales, Client Services, Revenue Operations, or other go-to-market teams in analytically rigorous environments.