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About the Role

The Senior Systems Engineer, Commercial Intelligence and Analytics will 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 internal stakeholders. You will 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. You will work closely with other teams to deliver clear, trusted, and actionable intelligence that improves seller focus, client outcomes, and the overall client experience at TTD.

Responsibilities

Own and maintain production systems that surface revenue performance, portfolio health, renewal dynamics, client opportunity, and service risk.
Design, build, and operate proactive insight pipelines, translating business needs into system architecture, data models, signal logic, and production-ready outputs.
Work directly 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 that 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 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.

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, 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.
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.

Skills

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

Location

Remote
Onsite
Hybrid

Work Type

Full-time

Experience Level

Senior

Salary/Compensations

$103,200—$189,200 USD

Benefits

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
Around 13 paid holidays per year
Employee Stock Purchase Plan
Stock-based compensation grants
Variable compensation-based incentives
Commissions

About the Company

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.
The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale.
When you work here, your impact is worldwide.
We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another.
Commercial Operations is composed of closely connected functions that help TTD grow revenue in a disciplined, scalable, and data-driven way.
Across these teams, we improve visibility, standardize key metrics, strengthen decision support, and help client-facing teams act with greater precision and consistency.
Within this organization, Commercial Intelligence and Analytics turns commercial, product, and client data into insight products that support internal teams and improve how TTD serves, grows, and retains clients.
We build data pipelines, signal frameworks, and decision-support systems that help Sales and Client Services teams understand portfolio health, prioritize effort, identify risk and opportunity earlier, and engage clients more effectively.
Our work spans scalable reporting infrastructure, proactive signal delivery, and AI-assisted workflows that operationalize intelligence into durable, production-grade systems.

Equal Opportunity

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.
[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.
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 accommodations@thetradedesk.com 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.