Bellevue, United States; Chicago, United States; Los Angeles, United States; New York, US; San Francisco, United States
Full job description
The Trade Desk seeks a mid-level Software Engineer for Commercial Intelligence and Analytics to design, build, and maintain scalable analytical systems supporting Sales and Client Services. Responsibilities include owning production systems for revenue and client insights, building data pipelines and automated workflows, integrating intelligence into operational tools, and embedding AI/LLM capabilities. Requires 5+ years in analytics, data, or software engineering with strong SQL and Python skills, experience with modern data environments, software development best practices, and ability to translate business needs into technical solutions. Benefits include comprehensive healthcare, retirement plans, disability coverage, life insurance, tuition reimbursement, parental leave, paid time off, stock purchase plans, and variable incentives. Locations include Bellevue, Chicago, Los Angeles, New York, and San Francisco.
What you'll do
Own and maintain production systems that surface revenue performance, portfolio health, renewal dynamics, client opportunity, and service risk
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Bellevue, United States; Chicago, United States; Los Angeles, United States; New York, US; San Francisco, United States
Full-time
Design, build, and operate proactive insight pipelines translating recurring business needs into system architecture, data models, signal logic, and production-ready outputs
Work with Business Technology and Revenue Operations to integrate intelligence outputs into dashboards, alerting systems, and operational workflows
Build and deploy tools, signals, and automated deliverables to help teams prioritize effort, identify risk and opportunity, and act with greater precision
Build trusted, production-grade data assets and pipelines using SQL, Python, validated metrics, and well-documented logic
Integrate AI and LLM capabilities into systems and workflows to accelerate exploration, automate documentation, detect anomalies, and improve pipeline quality
Translate ambiguous commercial problems into concrete technical plans, stakeholder-aligned requirements, and measurable deliverables
Identify and prioritize scalable system investments likely to drive broad commercial impact
Embed intelligence outputs into go-to-market systems and instrument delivery to assess signal effectiveness
Raise the team’s engineering bar through rigorous documentation, automated testing, metric governance, and repeatable, version-controlled workflows
Requirements
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
Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependentsRetirement benefits such as a 401k plan and company matchShort and long-term disability coverageBasic life insuranceWell-being benefitsReimbursement for certain tuition expensesParental leaveSick time of 1 hour per 30 hours workedVacation time for full-time employees up to 120 hours through the first year and 160 hours thereafterAround 13 paid holidays per yearEmployee Stock Purchase Plan with discounted stock purchaseVariable compensation-based incentives and commissions depending on roleStock-based compensation grants based on company and individual performance
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