Engineering Project Manager Jobs at Google with Visa Sponsorship
Engineering Project Manager jobs at Google sit at the intersection of technical depth and organizational scale, coordinating complex software and infrastructure projects across global teams. Google has a well-established sponsorship process for this function, making it a realistic target for H-1B visa, H-1B1 visa, and E-3 visa holders pursuing long-term U.S. careers in tech.
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Get Access To All JobsINTRODUCTION
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits
ROLE AND RESPONSIBILITIES
- Set and communicate team priorities that support the broader organization's goals, ensuring alignment of strategy, processes, and decision-making across teams.
- Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals while meeting regularly with individuals to discuss performance and development and provide feedback and coaching.
- Develop the long-term technical goals and roadmap within, and often beyond, the scope of your teams, and evolve the roadmap to meet anticipated future requirements and infrastructure needs.
- Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems.
- Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.
MINIMUM QUALIFICATIONS
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 5 years of experience in a technical leadership role.
- 5 years of experience in a people management or team leadership role.
PREFERRED QUALIFICATIONS
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 5 years of experience working in a complex, matrixed organization.
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
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits
ROLE AND RESPONSIBILITIES
- Set and communicate team priorities that support the broader organization's goals, ensuring alignment of strategy, processes, and decision-making across teams.
- Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals while meeting regularly with individuals to discuss performance and development and provide feedback and coaching.
- Develop the long-term technical goals and roadmap within, and often beyond, the scope of your teams, and evolve the roadmap to meet anticipated future requirements and infrastructure needs.
- Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems.
- Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.
MINIMUM QUALIFICATIONS
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 5 years of experience in a technical leadership role.
- 5 years of experience in a people management or team leadership role.
PREFERRED QUALIFICATIONS
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 5 years of experience working in a complex, matrixed organization.
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 80+ Engineering Project Manager Jobs at Google
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Get Access To All JobsTips for Finding Engineering Project Manager Jobs at Google
Frame Your PM Credentials Around Technical Scope
Google's Engineering Project Manager hiring prioritizes candidates who can demonstrate hands-on technical involvement, not just coordination. Quantify the engineering complexity you've managed: system scale, cross-functional team size, and the technical domains you've worked across.
Target Google's Specific EPM Hiring Tracks
Google distinguishes Engineering Project Managers from Technical Program Managers and Product Managers. Apply to the EPM track specifically, since each has a separate sponsorship pipeline and different credential expectations. Misaligned applications rarely make it to the sponsorship conversation.
Identify Open Roles Using Migrate Mate
Browse Engineering Project Manager openings at Google filtered by visa type using Migrate Mate. This surfaces roles where sponsorship is confirmed, saving time you'd otherwise spend screening postings that don't match your work authorization situation.
Align Your Degree Field to the Role Description
H-1B specialty occupation approval requires a direct connection between your degree field and the EPM role. Computer science, engineering, and information systems degrees map cleanly. A business or liberal arts degree may require supporting evidence of technical equivalency before USCIS will approve the petition.
Clarify Sponsorship Timing Before the Offer Stage
Google's recruiting process moves quickly, and sponsorship timelines for H-1B cap-subject cases can conflict with start date expectations. If you're currently on OPT or a 60-day grace period, raise your authorization status early so the team can route you to the right internal process.
Understand How Google Handles Cap-Exempt Filings
E-3 and H-1B1 visas are processed at U.S. consulates abroad and are not subject to the annual H-1B lottery. If you're an Australian or Chilean or Singaporean national, your sponsorship path at Google bypasses the USCIS cap registration entirely, which affects both timing and process.
Frequently Asked Questions
Does Google sponsor H-1B visas for Engineering Project Managers?
Yes, Google sponsors H-1B visas for Engineering Project Manager roles. The process follows the standard USCIS H-1B cap registration and petition pathway, which means cap-subject candidates must be selected in the annual lottery before a full petition can be filed. Google has an established internal immigration team that manages this process once you have an offer.
Which visa types does Google commonly sponsor for Engineering Project Manager roles?
Google sponsors H-1B, H-1B1 visa, and E-3 visas for Engineering Project Managers. H-1B is the most common route for most nationalities. Australian citizens can pursue the E-3, and Chilean and Singaporean nationals can use the H-1B1, both of which avoid the H-1B lottery and can be processed directly at a U.S. consulate.
How do I apply for Engineering Project Manager jobs at Google?
Applications go through Google's careers portal at careers.google.com. Search for Engineering Project Manager roles specifically, as they're listed separately from Technical Program Manager and Product Manager positions. To find openings already filtered by visa sponsorship availability, you can browse verified listings on Migrate Mate before applying directly through Google's portal.
What qualifications does Google expect for Engineering Project Manager roles?
Google typically expects a bachelor's degree in computer science, electrical engineering, or a related technical field, along with direct experience managing software or hardware engineering projects. Familiarity with Google's internal tools or experience in large-scale distributed systems environments strengthens an application. The role requires both technical fluency and cross-functional coordination experience.
How do I plan my timeline if I need visa sponsorship for a Google EPM role?
If you're pursuing an H-1B, the annual cap registration opens in March and a start date of October 1 is the earliest possible if selected. H-1B1 visa and E-3 candidates face no lottery constraint, but consular processing typically takes several weeks. Starting your job search three to six months before your current work authorization expires gives you enough buffer to account for petition and interview scheduling.