Software Engineer, AI‑Driven Commercial Intelligence

The Trade Desk, Inc.; Bellevue (WA); On-site; USD 103,200 - 189,200; Full time

Benefits offered by this job

Stock-based compensation

401(k) with company match

Job summary

The Trade Desk, Inc. is seeking a Software Engineer, Commercial Intelligence and Analytics to build high‑impact analytical systems supporting Sales and Client Services.

This role focuses on design of scalable data pipelines, production signals, and proactive workflows to improve prioritization and client outcomes. You’ll own the engineering lifecycle from requirements through deployment, collaborating with Business Technology, Revenue Operations, Finance, and related teams to deliver trusted

Qualifications

• 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.
• 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.

Responsibilities

• Own and maintain the production systems that surface revenue performance, portfolio health, renewal dynamics, client opportunity, and service risk so internal teams can act on the right priorities with confidence.
• Design, build, and operate proactive insight pipelines, translating recurring business needs into system architecture, data models, signal logic, and production‑ready outputs so intelligence can be delivered consistently at scale.
• Work directly with Business Technology and Revenue Operations to integrate intelligence outputs into dashboards, alerting systems, and operational workflows so signals reach users through the tools where decisions are made.
• Build and deploy tools, signals, and automated deliverables that help teams prioritize effort, identify risk and opportunity, and act with greater precision so commercial resources are directed where they matter most.
• Build trusted, production‑grade data assets and pipelines using SQL, Python, validated metrics, and well‑documented logic so downstream systems remain reliable, explainable, and maintainable.
• Integrate AI and LLM capabilities into systems and workflows to accelerate exploration, automate documentation, detect anomalies, and improve pipeline quality so teams can move faster without sacrificing rigor.
• Translate ambiguous commercial problems into concrete technical plans, stakeholder‑aligned requirements, and measurable deliverables.
• Identify and prioritize scalable system investments that are actionable and likely to drive broad commercial impact.
• Embed intelligence outputs into go‑to‑market systems and instrument delivery to assess whether signals reach the right users, inform action, and improve outcomes.
• Raise the team’s engineering bar through rigorous documentation, automated testing, metric governance, and repeatable, version‑controlled workflows.

Skills

SQL

Python

CI/CD

Data modeling

System design

Stakeholder collaboration

Tools

Snowflake

Tableau

Git/GitLab

LLM APIs

Docker

Jira

Confluence

Job description

The Trade Desk, Inc. is seeking a Software Engineer, Commercial Intelligence and Analytics to build high‑impact analytical systems supporting Sales and Client Services.

This role focuses on design of scalable data pipelines, production signals, and proactive workflows to improve prioritization and client outcomes. You’ll own the engineering lifecycle from requirements through deployment, collaborating with Business Technology, Revenue Operations, Finance, and related teams to deliver trusted