Data Product Manager Jobs at Google with Visa Sponsorship
Data Product Manager jobs at Google sit at the intersection of machine learning infrastructure, user-facing analytics products, and large-scale data systems. Google has a consistent record of sponsoring work visas for this function, making it one of the more accessible paths for international candidates in product management.
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Get Access To All JobsINTRODUCTION
The AI/ML Foundations team is a group of engineers and data scientists tasked with building the foundations for engineering excellence and prototyping helpful, internal-facing AI/ML products. The Data Scientist (DS) team focuses on delivering investigative insights that influence product priorities and business strategy across the organization. We combine advanced statistical methods with a deep understanding of user behavior and engineer systems to create helpful experiences for our internal stakeholders.
At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
ROLE AND RESPONSIBILITIES
- Drive advanced analysis to deliver critical AI system and application insights that shape long-term strategy and influence business priorities.
- Establish core metrics, measurement frameworks, and methodologies for business systems, partnering with stakeholders to align on metric instrumentation.
- Design and run feature experiments in partnership with product and engineering teams, advising on advanced metrics and statistical methodology.
- Define and maintain data collection pipelines, and lead the peer review process for statistical models across the engineering organization.
- Translate complex statistical variance into clear business risk or cost-saving narratives for executives and non-technical stakeholders.
BASIC QUALIFICATIONS
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of work experience with a Master's degree.
PREFERRED QUALIFICATIONS
- PhD degree in Statistics, Data Science, or a related quantitative field.
- Experience building original statistical tools for internal products and mentoring data scientists.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
INTRODUCTION
The AI/ML Foundations team is a group of engineers and data scientists tasked with building the foundations for engineering excellence and prototyping helpful, internal-facing AI/ML products. The Data Scientist (DS) team focuses on delivering investigative insights that influence product priorities and business strategy across the organization. We combine advanced statistical methods with a deep understanding of user behavior and engineer systems to create helpful experiences for our internal stakeholders.
At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
ROLE AND RESPONSIBILITIES
- Drive advanced analysis to deliver critical AI system and application insights that shape long-term strategy and influence business priorities.
- Establish core metrics, measurement frameworks, and methodologies for business systems, partnering with stakeholders to align on metric instrumentation.
- Design and run feature experiments in partnership with product and engineering teams, advising on advanced metrics and statistical methodology.
- Define and maintain data collection pipelines, and lead the peer review process for statistical models across the engineering organization.
- Translate complex statistical variance into clear business risk or cost-saving narratives for executives and non-technical stakeholders.
BASIC QUALIFICATIONS
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of work experience with a Master's degree.
PREFERRED QUALIFICATIONS
- PhD degree in Statistics, Data Science, or a related quantitative field.
- Experience building original statistical tools for internal products and mentoring data scientists.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
See all 71+ Data Product Manager Jobs at Google
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Get Access To All JobsTips for Finding Data Product Manager Jobs at Google
Frame your portfolio around data systems
Google evaluates Data Product Manager candidates on their ability to drive product decisions using data infrastructure at scale. Document specific examples where you defined metrics, shaped ML pipelines, or built data products, not just managed roadmaps.
Target roles explicitly tied to platforms
Google's Data PM openings tied to platforms like Google Ads, Search, or Cloud are more likely to trigger visa sponsorship than generalist PM roles. Filter job listings by team and look for language around data infrastructure, measurement, or experimentation.
Confirm E-3 eligibility before applying
If you're an Australian citizen, Google sponsors the E-3 visa for qualifying roles, which has no lottery and can be processed faster than H-1B. Verify that the specific role is classified as a specialty occupation before your recruiter screen.
Align your offer timeline with H-1B cap dates
If you need H-1B sponsorship, Google typically files cap-subject petitions in April for an October 1 start. Targeting a full-time offer by February or March gives Google's immigration team enough lead time to prepare your petition before the USCIS registration window opens.
Use Migrate Mate to find open Data PM roles
Google posts Data Product Manager roles across multiple teams simultaneously, and availability shifts quickly. Search Migrate Mate to filter for open Data PM positions at Google that include visa sponsorship, so you're applying to active openings that match your visa type.
Prepare for Google's structured PM interview with data fluency
Google's Data PM interviews include rounds on analytical thinking and SQL-level data reasoning alongside standard product sense. Strong performance in the data interview signals you can own the technical relationship with engineering, which directly supports the specialty occupation classification for your visa petition.
Frequently Asked Questions
Does Google sponsor H-1B visas for Data Product Managers?
Yes, Google sponsors H-1B visas for Data Product Manager roles. The role typically qualifies as a specialty occupation because it requires at least a bachelor's degree in a relevant field such as computer science, statistics, or engineering. Google's immigration team handles the filing process after you receive a full-time offer, and your start date will depend on where you fall in the H-1B cap cycle.
How do I apply for Data Product Manager jobs at Google?
Applications go through Google's careers portal at careers.google.com. Search for "Data Product Manager" and filter by location and team. Google's process typically includes a recruiter screen, a hiring manager interview, and a structured loop of four to five rounds covering product sense, analytical thinking, and cross-functional execution. You can also browse open sponsorship-eligible roles on Migrate Mate before applying directly.
Which visa types does Google sponsor for Data Product Manager roles?
Google sponsors the H-1B, H-1B1 visa, and E-3 visas for Data Product Manager positions. The H-1B is the most common path and is subject to the annual cap and lottery. The H-1B1 is available to Chilean and Singaporean nationals under specific trade agreements. The E-3 is available exclusively to Australian citizens and has no lottery, making it a faster option if you qualify.
What qualifications does Google expect for Data Product Manager roles?
Google generally looks for a bachelor's degree in computer science, data science, statistics, or a closely related technical field. Practical experience with data pipelines, experimentation frameworks, or analytics products is weighted heavily. Many candidates also hold advanced degrees or come from data engineering or data science backgrounds before transitioning into product management. Strong SQL proficiency and experience working directly with machine learning teams are recurring requirements.
How long does the visa sponsorship process take after a Google offer?
Timeline depends on the visa type. For H-1B cap-subject cases, USCIS registration opens in March, and approved petitions take effect October 1, meaning the gap between offer and start date can be several months. E-3 and H-1B1 visa petitions can move faster since they aren't lottery-based. Google's legal team initiates the Labor Condition Application with DOL before filing the I-129 petition with USCIS, which adds a few weeks to the front end of the process.