Software Engineer, Commercial Intelligence and Analytics

jobr.pro; Los Angeles (CA); On-site; USD 103,200 - 189,200; Full time

Benefits offered by this job

Comprehensive healthcare

401k plan with company match

Paid time off (up to 160 hours after the first year)

Employee Stock Purchase Plan

Job summary

The Trade Desk in Los Angeles is seeking a Senior Systems Engineer to develop high-impact analytical systems. This role will support various teams by building scalable data systems and insight pipelines, with a focus on improving decision-making and prioritization.

The ideal candidate will have over 5 years of experience in analytics or data engineering, strong SQL and Python skills, and the ability to translate business needs into technical deliverables.

This position offers a competitive salary range of $103,200 – $189,200 annually and comprehensive healthcare benefits.

Qualifications

• 5+ years of experience in analytics engineering or related roles.
• Strong SQL skills for managing complex datasets.
• Proficiency in Python for building production systems.

Responsibilities

• Own production systems for revenue performance and client opportunities.
• Design and operate proactive insight pipelines.
• Collaborate with teams to integrate intelligence outputs.

Skills

SQL skills

Python proficiency

Experience with large datasets

Version control (Git)

Data automation

Communication skills

Education

5+ years in analytics or data engineering

Tools

Snowflake

Tableau

Docker

GitLab (CI/CD)

Job description

About The Trade Desk

The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more. Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly.

Role Summary

We are seeking a Senior Systems 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. Working across Commercial Operations, Revenue Operations, Business Technology, Finance, and related teams, you will help translate analysis into proactive signals that improve prioritization, decision‑making, and field execution. This role owns the engineering lifecycle of intelligence systems from requirements and architecture through deployment, monitoring, and iteration.

Core Mission

The Senior Systems 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.

What You’ll Work With

Python, SQL, Snowflake, Tableau, Git/GitLab (CI/CD), LLM APIs, Docker, Jira, Confluence

What You’ll Do

• 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.

Required 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, 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.

Preferred Qualifications

• Experience supporting Sales, Client Services, Revenue Operations, or other go‑to‑market teams in analytically rigorous environments.
• Experience deploying proactive signals, recommendations, or decision‑support systems into production environments.
• Experience building and maintaining production data pipelines or ETL/ELT systems.
• Familiarity with advertising technology, digital media, measurement, or platform‑based commercial models.
• Experience working in high‑growth, data‑intensive organizations where analytics support multiple stakeholders and workflows.
• Experience with Salesforce, planning tools, product telemetry, and enterprise data platforms such as Snowflake or Databricks.

Equal Opportunity Statement

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Fair Chance Ordinance Notices

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Compensation and Benefits

In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non‑discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock‑based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation such as variable compensation‑based incentives and commissions. Expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long‑term disability coverage, basic life insurance, well‑being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full‑time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan.

The Trade Desk also offers a competitive benefits package. Click here to learn more.

Note: Interns are not eligible for variable incentive awards such as stock‑based compensation, retirement plan, vacation, tuition reimbursement or parental leave.

Base Salary Range: $103,200 – $189,200 USD.

Accommodations

As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive. Please reach out to us at [e-mail] to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process. When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.