H-1B Visa The Trade Desk Jobs
The Trade Desk builds programmatic advertising technology and regularly sponsors H-1B visas for software engineers, data scientists, and platform engineers. Roles typically qualify as specialty occupations under USCIS standards, and the company's LCA filing history across multiple U.S. office locations signals consistent sponsorship activity.
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Get Access To All JobsINTRODUCTION
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. If you're driven to solve meaningful challenges, we'd love to meet you.
ROLE AND RESPONSIBILITIES
This role sits within FP&A and operates as a bridge between Finance and technical teams. You will modernize and automate core finance workflows, improve forecast accuracy through statistical and machine learning approaches, and build durable tooling that increases the speed and quality of decision-making across the organization. This is a hands-on role for someone who is curious, pragmatic, and motivated to quickly and continuously improve financial operations.
- Automate and industrialize finance workflows: convert manual Excel-based processes into reliable, scalable automated pipelines and self-serve tools.
- Forecasting & modeling: develop and operationalize statistical and machine learning models to improve forecast precision, while balancing accuracy and explainability.
- Build FP&A tooling: create internal tools that make analyses repeatable, auditable, and easy to consume by Finance leadership and business partners.
- Partner cross-functionally: work closely with Finance teams (and technical partners as needed) to identify friction, quantify impact, and implement more efficient ways of operating.
- Data pipelines & rules: design and maintain rule-based engines and data pipelines that support forecasting, reporting, and decision workflows.
- Data storytelling: translate analyses and automations into clear narratives and meaningful visuals; communicate recommendations confidently internally.
- Responsible adoption of AI tooling: use LLM-powered development workflows (e.g., Claude Code) to accelerate delivery while maintaining quality, security, and auditability.
BASIC QUALIFICATIONS
- Strong SQL skills (writing, debugging, and optimizing queries against large datasets).
- Advanced Excel skills and fluency in common FP&A workflows (structured modeling, reconciliation, scenario analysis).
- Working Python literacy (ability to write production-quality scripts and notebooks; comfort with packaging, testing, and reproducibility).
- Experience working in a Git-based workflow (branching, pull requests/code review, version control hygiene).
- Proven ability to take ambiguous problems and drive them to outcomes, identifying opportunities, scoping work, executing, and iterating.
- Comfort operating in a role with direct financial impact, including attention to controls, data quality, and auditability.
- Excellent communication skills (written and verbal), including the ability to tailor technical detail to the audience.
PREFERRED QUALIFICATIONS
- 2 - 4 years working experience as in Analytics, Finance, or AdTech.
- Experience with Python data and visualization tooling such as pandas.
- Experience building lightweight applications for analysts and business users (e.g., Streamlit, Dash, or similar).
- Familiarity with distributed processing and large-scale data (e.g., PySpark).
- Experience implementing agentic workflows and/or automation in a business context.
- Comfort using LLM tools (e.g., Claude Code) to speed up development, analysis, documentation, and iteration.
- Exposure to programmatic advertising / AdTech concepts (forecasting, seasonality, supply dynamics, fees/take rates, identity, etc.).
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.
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.
INTRODUCTION
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. If you're driven to solve meaningful challenges, we'd love to meet you.
ROLE AND RESPONSIBILITIES
This role sits within FP&A and operates as a bridge between Finance and technical teams. You will modernize and automate core finance workflows, improve forecast accuracy through statistical and machine learning approaches, and build durable tooling that increases the speed and quality of decision-making across the organization. This is a hands-on role for someone who is curious, pragmatic, and motivated to quickly and continuously improve financial operations.
- Automate and industrialize finance workflows: convert manual Excel-based processes into reliable, scalable automated pipelines and self-serve tools.
- Forecasting & modeling: develop and operationalize statistical and machine learning models to improve forecast precision, while balancing accuracy and explainability.
- Build FP&A tooling: create internal tools that make analyses repeatable, auditable, and easy to consume by Finance leadership and business partners.
- Partner cross-functionally: work closely with Finance teams (and technical partners as needed) to identify friction, quantify impact, and implement more efficient ways of operating.
- Data pipelines & rules: design and maintain rule-based engines and data pipelines that support forecasting, reporting, and decision workflows.
- Data storytelling: translate analyses and automations into clear narratives and meaningful visuals; communicate recommendations confidently internally.
- Responsible adoption of AI tooling: use LLM-powered development workflows (e.g., Claude Code) to accelerate delivery while maintaining quality, security, and auditability.
BASIC QUALIFICATIONS
- Strong SQL skills (writing, debugging, and optimizing queries against large datasets).
- Advanced Excel skills and fluency in common FP&A workflows (structured modeling, reconciliation, scenario analysis).
- Working Python literacy (ability to write production-quality scripts and notebooks; comfort with packaging, testing, and reproducibility).
- Experience working in a Git-based workflow (branching, pull requests/code review, version control hygiene).
- Proven ability to take ambiguous problems and drive them to outcomes, identifying opportunities, scoping work, executing, and iterating.
- Comfort operating in a role with direct financial impact, including attention to controls, data quality, and auditability.
- Excellent communication skills (written and verbal), including the ability to tailor technical detail to the audience.
PREFERRED QUALIFICATIONS
- 2 - 4 years working experience as in Analytics, Finance, or AdTech.
- Experience with Python data and visualization tooling such as pandas.
- Experience building lightweight applications for analysts and business users (e.g., Streamlit, Dash, or similar).
- Familiarity with distributed processing and large-scale data (e.g., PySpark).
- Experience implementing agentic workflows and/or automation in a business context.
- Comfort using LLM tools (e.g., Claude Code) to speed up development, analysis, documentation, and iteration.
- Exposure to programmatic advertising / AdTech concepts (forecasting, seasonality, supply dynamics, fees/take rates, identity, etc.).
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.
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.
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship in The Trade Desk
Map your degree to the specialty occupation definition
USCIS requires your degree field to directly relate to your job duties at The Trade Desk. A computer science or data engineering degree maps cleanly to platform or ML roles; a general business degree may trigger an RFE if the job duties lean technical.
Target offices with active LCA filing history
The Trade Desk operates engineering hubs in multiple cities. Use Migrate Mate to filter LCA disclosures by office location so you apply to the sites where H-1B sponsorship is demonstrably active, not just assumed.
Confirm the role title matches your petition
Job postings sometimes use internal titles that differ from the Standard Occupational Classification code on the LCA. Ask your recruiter early which SOC code the company plans to use, since this directly determines your prevailing wage level.
Benchmark compensation against the prevailing wage tier
DOL sets four wage levels for each SOC code and metro area. Run the OFLC Wage Search before your offer negotiation to know whether the offer clears Level II or Level III, which affects both your petition's strength and any future green card PERM filing.
Prepare your 60-day grace period strategy before acceptance
If your current H-1B employer is different from The Trade Desk, you have 60 days after your last day to have a new petition filed. Confirm The Trade Desk's HR team understands the portability rules under AC21 so your start date doesn't fall outside that window.
Verify O*NET alignment for your specific role
USCIS adjudicators use O*NET job zone classifications to assess specialty occupation eligibility. Pull the O*NET profile for your target title and confirm the listed education requirement says 'bachelor's degree required,' not 'preferred,' before your interview stage.
H-1B Visa The Trade Desk: Frequently Asked Questions
Does The Trade Desk sponsor H-1B visas for engineering and technical roles?
Yes. The Trade Desk has a consistent record of filing Labor Condition Applications for software engineering, data science, and product management roles across its U.S. offices. You can browse current H-1B sponsored openings at The Trade Desk on Migrate Mate, which surfaces roles filtered by verified LCA filing history so you're not guessing at sponsorship availability.
Which job titles at The Trade Desk are most likely to qualify as H-1B specialty occupations?
Roles requiring a bachelor's degree or higher in a directly related technical field qualify most cleanly. At The Trade Desk, this typically includes software engineer, data engineer, machine learning engineer, and platform architect positions. Roles in advertising operations or account management may qualify but require stronger documentation showing the degree field directly relates to the job duties, per USCIS specialty occupation standards.
How does the H-1B lottery affect my chances of joining The Trade Desk?
USCIS runs the H-1B cap lottery each spring for petitions filed in April, with an annual limit of 65,000 regular-cap slots and 20,000 additional slots for U.S. master's degree holders. If you're currently on OPT or a different nonimmigrant status, The Trade Desk can file a petition on your behalf during the registration window. Cap-exempt institutions don't apply here since The Trade Desk is a for-profit employer subject to the annual cap.
Can I transfer an existing H-1B to The Trade Desk without going through the lottery again?
Yes. If you already hold an approved H-1B with another employer, The Trade Desk can file an H-1B transfer petition under portability rules. USCIS allows you to start working for the new employer as soon as the transfer petition is filed, as long as you've been in valid H-1B status and your prior petition was properly approved. You do not re-enter the lottery.
What prevailing wage level should I expect The Trade Desk to use on my LCA?
DOL assigns wage levels I through IV based on your experience, supervision, and job complexity. Most mid-level engineering roles at The Trade Desk are filed at Level II or Level III. You can verify the prevailing wage for your specific job title and office metro area using the OFLC Wage Search before your offer stage, which lets you confirm whether a compensation package meets the DOL threshold for your petition.