Data Science Manager Jobs at Google with Visa Sponsorship
Data Science Manager roles at Google sit at the intersection of large-scale machine learning infrastructure and cross-functional product strategy. Google has a well-established sponsorship process for this function, supporting candidates through H-1B, H-1B1, and E-3 pathways depending on your nationality and background.
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Get Access To All JobsABOUT THE JOB
As the Product Manager for Gemini in Chrome Discovery and User Adoption, you will be responsible for driving massive user growth and adoption of an AI-powered browsing assistant. You will have the opportunity to change how a billion users get things done and browse the web with Gemini, and make Chrome the best AI browser. In this role, you will own and drive the acquisition and onboarding of new users, and their conversion into loyal customers of Gemini in Chrome. You will own the top-of-the-funnel experience and have the opportunity to work at the intersection of product, growth marketing, and data science to drive unprecedented user growth.
The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Drive the Discovery and Adoption roadmap for Gemini in Chrome, scaling top-of-funnel growth and streamlining user onboarding.
- Optimize the activation funnel by leveraging data and user research to eliminate friction and accelerate time-to-value.
- Improve new user experience through discovery and promotion of core, differentiated features.
- Manage cross-functional teams (e.g., engineering, UX, Data Science) to rapidly experiment and identify growth levers.
- Build consensus across the Gemini and Chrome teams to ensure growth efforts are aligned with broader product strategy while securing the resources needed to meet growth goals.
MINIMUM QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in product management or related technical role.
- 2 years of experience in product management, taking technical products from conception to launch (0 to 1).
- 2 years of experience in consumer growth, delivering artificial intelligence (AI) products.
- 1 year of product experience with AI technologies, including large language models (LLMs).
PREFERRED QUALIFICATIONS
- Master's degree in a technology or business related field.
- Ability to take initiative and deliver results.
- Ability to create intuitive user experiences.
- Ability to work with and influence cross-functional teams (e.g., engineering, UX, marketing, legal, etc.).
- Excellent communication skills, with the ability to articulate clear goals and strategies to technical and non-technical audiences.
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.
ABOUT THE JOB
As the Product Manager for Gemini in Chrome Discovery and User Adoption, you will be responsible for driving massive user growth and adoption of an AI-powered browsing assistant. You will have the opportunity to change how a billion users get things done and browse the web with Gemini, and make Chrome the best AI browser. In this role, you will own and drive the acquisition and onboarding of new users, and their conversion into loyal customers of Gemini in Chrome. You will own the top-of-the-funnel experience and have the opportunity to work at the intersection of product, growth marketing, and data science to drive unprecedented user growth.
The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Drive the Discovery and Adoption roadmap for Gemini in Chrome, scaling top-of-funnel growth and streamlining user onboarding.
- Optimize the activation funnel by leveraging data and user research to eliminate friction and accelerate time-to-value.
- Improve new user experience through discovery and promotion of core, differentiated features.
- Manage cross-functional teams (e.g., engineering, UX, Data Science) to rapidly experiment and identify growth levers.
- Build consensus across the Gemini and Chrome teams to ensure growth efforts are aligned with broader product strategy while securing the resources needed to meet growth goals.
MINIMUM QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in product management or related technical role.
- 2 years of experience in product management, taking technical products from conception to launch (0 to 1).
- 2 years of experience in consumer growth, delivering artificial intelligence (AI) products.
- 1 year of product experience with AI technologies, including large language models (LLMs).
PREFERRED QUALIFICATIONS
- Master's degree in a technology or business related field.
- Ability to take initiative and deliver results.
- Ability to create intuitive user experiences.
- Ability to work with and influence cross-functional teams (e.g., engineering, UX, marketing, legal, etc.).
- Excellent communication skills, with the ability to articulate clear goals and strategies to technical and non-technical audiences.
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.
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Get Access To All JobsTips for Finding Data Science Manager Jobs at Google Jobs
Frame your portfolio around Google-scale systems
Google evaluates Data Science Manager candidates on experience leading teams that operate on massive datasets and distributed infrastructure. Before applying, document projects where you've managed ML pipelines or model deployments at scale, not just individual contributor work.
Target roles in Google's core product areas
Google's Data Science Manager openings cluster heavily in Search, Ads, Cloud, and YouTube. Applying to teams aligned with your domain expertise increases fit signals and improves your chances of moving past the initial recruiter screen into technical rounds.
Request premium processing before your start date
Google's recruiting team can request USCIS premium processing on your I-129 petition, reducing adjudication to 15 business days. Raise this during offer negotiation if your start date is tight or you're transitioning from another employer's visa.
Use Migrate Mate to filter Google's open roles by visa type
Finding Google postings that explicitly support your visa category takes time when searching general job boards. Migrate Mate lets you filter Data Science Manager openings at Google by the visa types the company sponsors, so you apply to roles matched to your situation.
Data Science Manager at Google jobs are hiring across the US. Find yours.
Find Data Science Manager at Google JobsFrequently Asked Questions
Does Google sponsor H-1B visas for Data Science Managers?
Yes, Google sponsors H-1B visas for Data Science Manager roles. Google participates in the annual H-1B cap lottery each March for candidates who need new H-1B status starting October 1. If you're currently on OPT or another employer's H-1B, Google can also file an H-1B transfer, which is not subject to the cap and can begin at any point in the year.
How do I apply for Data Science Manager jobs at Google?
Applications go through Google's careers portal at careers.google.com. Search for 'Data Science Manager' and filter by location. Google's process for this level typically includes a recruiter screen, a technical phone interview covering statistics and ML concepts, and a full loop with case studies and people management scenarios. Prepare for behavioral questions that probe how you've developed individual contributors and influenced product direction with data.
Which visa types does Google use for Data Science Manager roles?
Google sponsors H-1B, H-1B1, and E-3 visas for Data Science Manager positions. H-1B is the most common path for candidates from most countries. H-1B1 is available to citizens of Chile and Singapore. E-3 is exclusive to Australian citizens and offers a streamlined path without a lottery. The right visa depends on your nationality, current status, and proposed start date.
What qualifications does Google expect for Data Science Manager roles?
Google's Data Science Manager roles typically require a graduate degree in Statistics, Computer Science, Applied Mathematics, or a related quantitative field, though substantial industry experience in lieu of a graduate degree is sometimes accepted. Beyond credentials, Google prioritizes demonstrated experience managing data science teams, translating ambiguous business problems into analytical frameworks, and influencing product decisions at scale across cross-functional stakeholders.
How do I find Data Science Manager openings at Google that match my visa situation?
General job boards don't filter by visa sponsorship type, which makes it hard to know which Google postings align with your H-1B, E-3, or H-1B1 eligibility. Migrate Mate aggregates Data Science Manager roles at Google and lets you filter by the visa categories the company sponsors, so you can focus your applications on positions where your work authorization is a known fit.
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