J-1 Visa Data Product Manager Jobs
Data Product Manager roles in the U.S. are accessible to international professionals through J-1 visa sponsorship, most commonly under the Trainee or Specialist program category. A designated sponsor organization issues your DS-2019, while the hiring company serves as your host employer. No lottery or annual cap applies.
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Get Access To All JobsINTRODUCTION
Data Product Manager Project Intern (Monetization) - 2026 Start (BS/MS)
LOCATION:
San Jose
EMPLOYMENT TYPE:
Intern
JOB CODE:
A200727
Responsibilities:
Team Introduction:
We are the Monetization Data Foundation team, sitting within TikTok’s Global Monetization Product & Technology (GMPT) organization. We empower business and product teams with scalable data infrastructure, tools, and insights to drive revenue growth and operational efficiency.
Our mission is to build a robust, data-driven foundation that enables smarter decision-making across TikTok’s global monetization ecosystem. By collaborating closely with engineering, analytics, and business teams, we deliver innovative solutions that turn raw data into actionable intelligence.
We are seeking a Data Product Manager Project Intern to support the development and scaling of data-driven products within TikTok’s Monetization organization. In this role, you will define the vision, strategy, and execution of data products that empower business teams with actionable insights and scalable solutions.
You will act as a bridge between data, engineering, and business stakeholders, ensuring our data infrastructure and tools meet the needs of a fast-growing global business. This is a high-impact opportunity to shape how data drives decision-making across TikTok’s monetization ecosystem.
Project Intern:
As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
Successful candidates must be able to commit to at least 6 months long internship period.
Responsibilities:
- Participate in building the data foundation and standardization system for international business. Assist the DPM team in building global data infrastructure, and promote the standardization and large-scale implementation of operational processes, data definition, and indicator systems.
- Collaborate with multiple teams to advance data product solutions and support business decisions. Collaborate with sales, strategy, operations, product, and engineering teams to sort out business problems and data requirements, output implementable analytical research and product solutions, and support the optimization of commercialization strategies and improvement of operational efficiency.
- Participate in automation and productization to improve global business efficiency based on business process and data insights, assist in designing and implementing automated/tool-based solutions, including datasets, visual reports, and analysis tools, to promote large-scale reuse and efficiency improvement.
- Promote data governance and quality management. Assist in building a basic governance system for data field standards, indicator definition alignment, and permissions, to support the stable output and quality monitoring of datasets.
- Precipitate methodologies and support cross-regional training with reusable methodologies from various operational analyses and project practices, and provide training and document support for global/regional operational teams to improve overall analytical capabilities and data tool usage skills.
MINIMUM QUALIFICATIONS:
- Currently pursuing a Bachelor's or Master's degree, with priority given to majors such as Data Science, Statistics, and Business Analysis;
- Priority given to candidates with experience using BI tools (such as Tableau, Power BI, Looker Studio, etc.)
- Able to commit to a full-time, 24 week (6 month) internship, ideally longer
PREFERRED QUALIFICATION:
- Interested in data products, indicator system construction, and data platform tools, with a certain sense of product awareness and logical thinking ability.
- Good communication and collaboration skills, able to support cross-team and cross-timezone communication.
- Available to intern for at least 4 days per week, with an internship period of no less than 6 months (long-term interns are preferred).
- Relevant internship experience in data products, data analysis, or data operations in technology companies is plus.
- Possess solid data processing skills, proficient in using SQL for data querying, cleaning, and analysis; Proficiency in Python/R is a plus.
COMPENSATION
- Compensation Description (Hourly) - Campus Intern
- The hourly rate range for this position in the selected city is $35 - $55.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
FOR LOS ANGELES COUNTY (UNINCORPORATED) CANDIDATES:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
- Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
- Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
- Exercising sound judgment.
ABOUT TIKTOK
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
WHY JOIN US
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
DIVERSITY & INCLUSION
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TIKTOK ACCOMMODATION
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
https://tinyurl.com/RA-request
INTRODUCTION
Data Product Manager Project Intern (Monetization) - 2026 Start (BS/MS)
LOCATION:
San Jose
EMPLOYMENT TYPE:
Intern
JOB CODE:
A200727
Responsibilities:
Team Introduction:
We are the Monetization Data Foundation team, sitting within TikTok’s Global Monetization Product & Technology (GMPT) organization. We empower business and product teams with scalable data infrastructure, tools, and insights to drive revenue growth and operational efficiency.
Our mission is to build a robust, data-driven foundation that enables smarter decision-making across TikTok’s global monetization ecosystem. By collaborating closely with engineering, analytics, and business teams, we deliver innovative solutions that turn raw data into actionable intelligence.
We are seeking a Data Product Manager Project Intern to support the development and scaling of data-driven products within TikTok’s Monetization organization. In this role, you will define the vision, strategy, and execution of data products that empower business teams with actionable insights and scalable solutions.
You will act as a bridge between data, engineering, and business stakeholders, ensuring our data infrastructure and tools meet the needs of a fast-growing global business. This is a high-impact opportunity to shape how data drives decision-making across TikTok’s monetization ecosystem.
Project Intern:
As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
Successful candidates must be able to commit to at least 6 months long internship period.
Responsibilities:
- Participate in building the data foundation and standardization system for international business. Assist the DPM team in building global data infrastructure, and promote the standardization and large-scale implementation of operational processes, data definition, and indicator systems.
- Collaborate with multiple teams to advance data product solutions and support business decisions. Collaborate with sales, strategy, operations, product, and engineering teams to sort out business problems and data requirements, output implementable analytical research and product solutions, and support the optimization of commercialization strategies and improvement of operational efficiency.
- Participate in automation and productization to improve global business efficiency based on business process and data insights, assist in designing and implementing automated/tool-based solutions, including datasets, visual reports, and analysis tools, to promote large-scale reuse and efficiency improvement.
- Promote data governance and quality management. Assist in building a basic governance system for data field standards, indicator definition alignment, and permissions, to support the stable output and quality monitoring of datasets.
- Precipitate methodologies and support cross-regional training with reusable methodologies from various operational analyses and project practices, and provide training and document support for global/regional operational teams to improve overall analytical capabilities and data tool usage skills.
MINIMUM QUALIFICATIONS:
- Currently pursuing a Bachelor's or Master's degree, with priority given to majors such as Data Science, Statistics, and Business Analysis;
- Priority given to candidates with experience using BI tools (such as Tableau, Power BI, Looker Studio, etc.)
- Able to commit to a full-time, 24 week (6 month) internship, ideally longer
PREFERRED QUALIFICATION:
- Interested in data products, indicator system construction, and data platform tools, with a certain sense of product awareness and logical thinking ability.
- Good communication and collaboration skills, able to support cross-team and cross-timezone communication.
- Available to intern for at least 4 days per week, with an internship period of no less than 6 months (long-term interns are preferred).
- Relevant internship experience in data products, data analysis, or data operations in technology companies is plus.
- Possess solid data processing skills, proficient in using SQL for data querying, cleaning, and analysis; Proficiency in Python/R is a plus.
COMPENSATION
- Compensation Description (Hourly) - Campus Intern
- The hourly rate range for this position in the selected city is $35 - $55.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
FOR LOS ANGELES COUNTY (UNINCORPORATED) CANDIDATES:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
- Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
- Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
- Exercising sound judgment.
ABOUT TIKTOK
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
WHY JOIN US
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
DIVERSITY & INCLUSION
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TIKTOK ACCOMMODATION
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
https://tinyurl.com/RA-request
See all 7+ Data Product Manager jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Product Manager roles.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as a Data Product Manager
Align your training plan to product data workflows
Your DS-2019 requires a structured training plan tied to specific learning objectives. Document how your host employer's data pipelines, roadmap prioritization, or analytics tooling fills a measurable gap in your current professional development.
Verify your J-1 category before applying
Data Product Managers typically qualify under Trainee if you have under five years of post-degree experience, or Specialist if you have recognized expertise in a specific domain. Applying under the wrong category delays your DS-2019 issuance and can void your offer.
Search Migrate Mate to find J-1-receptive employers
Many host companies never advertise J-1 compatibility in job postings. Use Migrate Mate to filter for Data Product Manager roles at organizations with a demonstrated history of hosting international exchange visitors.
Target product teams with active data infrastructure
Host employers must justify the training value of your placement. Companies building internal data products, migrating to cloud-native stacks, or scaling analytics platforms offer concrete program objectives that satisfy designated sponsor review criteria.
Confirm host employer willingness before DS-2019 is filed
Your designated sponsor, not your employer, issues the DS-2019. Get written confirmation from the hiring team that they will cooperate with sponsor compliance requirements, including signing the training plan and accepting site-visit obligations, before your sponsor begins processing.
Flag the two-year home residency rule early
Some J-1 participants in government-funded or certain Specialist placements are subject to a two-year home-country residency requirement after the program ends. Identify whether this applies to your specific situation before accepting an offer, as it affects post-program H-1B or green card timing.
Data Product Manager jobs are hiring across the US. Find yours.
Find Data Product Manager JobsData Product Manager J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Data Product Manager role?
Most Data Product Managers enter under the Trainee category if they have a relevant degree and fewer than five years of post-degree professional experience. Those with deep domain expertise in data strategy or product analytics may qualify under the Specialist category instead. Your designated sponsor organization, not your employer, determines which category applies and issues the DS-2019 accordingly.
How is J-1 sponsorship different from H-1B employer sponsorship for this role?
With an H-1B, your employer petitions USCIS directly and becomes your visa sponsor. With J-1, a U.S. Department of State-designated organization, such as Cultural Vistas or CIEE, issues your DS-2019 and acts as the official sponsor. Your hiring company is the host employer, not the visa sponsor. The designated sponsor monitors your training plan compliance throughout the exchange program.
Can I search for J-1-compatible Data Product Manager roles on Migrate Mate?
Yes. Migrate Mate lets you filter Data Product Manager positions by employer characteristics that signal openness to international exchange visitors. Many host companies don't flag J-1 compatibility in job postings, so searching a platform built for international professionals saves time compared to cold-applying and discovering eligibility late in the process.
What does a host employer need to provide for a J-1 Trainee application?
The host employer must co-sign a structured training plan, often called a Training or Internship Placement Plan, that outlines specific learning objectives, supervisory oversight, and how the role develops skills unavailable in your home country. They must also agree to cooperate with the designated sponsor's compliance monitoring, which can include site visits and periodic progress reports.
Does the two-year home residency requirement affect Data Product Managers on J-1 visas?
It can. The two-year home-country return requirement applies if your exchange program is government-financed or falls under certain Specialist designations. If it applies, you cannot change to H-1B or adjust status to a green card until you satisfy the requirement or obtain a waiver. Confirm your specific situation with your designated sponsor before signing an offer letter.
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