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Google Program Manager Jobs in Oceanside, CA (NOW HIRING)

Possesses proficient knowledge in MS Office and Google Suite applications such as Word, Excel ... learning development program, life insurance, long-term disability coverage, charitable ...

You understand how a mail program works mechanically, not just conceptually. * You are fluent in Google Ads and paid social (Meta). You can manage campaigns directly, read platform data critically ...

You understand how a mail program works mechanically, not just conceptually. * You are fluent in Google Ads and paid social (Meta). You can manage campaigns directly, read platform data critically ...

You understand how a mail program works mechanically, not just conceptually. * You are fluent in Google Ads and paid social (Meta). You can manage campaigns directly, read platform data critically ...

You understand how a mail program works mechanically, not just conceptually. * You are fluent in Google Ads and paid social (Meta). You can manage campaigns directly, read platform data critically ...

You understand how a mail program works mechanically, not just conceptually. * You are fluent in Google Ads and paid social (Meta). You can manage campaigns directly, read platform data critically ...

Showing results 21-40

Google Program Manager information

See Oceanside, CA salary details

$39.8K

$111.2K

$162.4K

How much do google program manager jobs pay per year?

As of Aug 6, 2026, the average yearly pay for google program manager in Oceanside, CA is $111,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,200.00 and $137,100.00 per year, depending on experience, location, and employer.

How do I get into Google as a Program Manager?

To become a Google Program Manager, candidates typically need a strong background in project management, experience leading cross-functional teams, and proficiency with tools like G Suite and data analysis. A relevant bachelor's degree is often required, with many roles preferring or requiring a master's degree or PMP certification. Demonstrating problem-solving skills, stakeholder management, and a track record of delivering complex projects can improve chances of selection.

What does a Google Program Manager do?

A Google Program Manager oversees complex projects and programs, coordinating between multiple teams to ensure successful planning, execution, and delivery. They work to define program goals, manage timelines, and communicate progress with stakeholders. Program Managers at Google often focus on cross-functional initiatives, bridging gaps between engineering, product, and business units. Their responsibilities include risk management, process improvement, and ensuring that projects align with company objectives.

How does a Google Program Manager typically collaborate with cross-functional teams during large-scale projects?

As a Google Program Manager, you will regularly work with cross-functional teams that may include engineers, product managers, designers, and marketing specialists. Collaboration often involves facilitating meetings, aligning stakeholders on project goals, and resolving roadblocks to ensure timely delivery. You'll use strong communication and organizational skills to coordinate across diverse teams, balancing technical and business priorities. This collaborative approach helps ensure that all aspects of a project are addressed and that teams are aligned on deliverables and timelines.

What are the key skills and qualifications needed to thrive as a Google Program Manager?

To thrive as a Google Program Manager, you need strong project management experience, cross-functional leadership skills, and often a degree in business, engineering, or a related field. Familiarity with tools like Google Workspace, project management software (e.g., Jira, Asana), and Agile or Scrum certifications is typically required. Exceptional communication, problem-solving, and stakeholder management abilities help you lead diverse teams and drive alignment. These skills are crucial for delivering complex projects on time and fostering collaboration in Google's fast-paced, innovative environment.

What is the difference between Google Program Manager vs Google Product Manager?

AspectGoogle Program ManagerGoogle Product Manager
Required CredentialsBachelor's degree, PMP or similar certifications often preferredBachelor's degree, MBA or technical background often preferred
Work EnvironmentFocuses on coordinating multiple projects and teams across departmentsFocuses on product development, strategy, and user experience
Employer & Industry UsageCommon in tech companies managing large-scale initiativesCommon in tech companies leading product lifecycle and innovation
Search & Comparison IntentOften compared for project coordination and cross-team leadershipOften compared for product strategy and market impact

Google Program Managers primarily coordinate multiple projects and teams, ensuring timely delivery and alignment with company goals. In contrast, Google Product Managers focus on developing and managing products from conception to launch, emphasizing user needs and market fit. Both roles require strong communication skills and cross-functional collaboration, but they serve different strategic functions within the organization.

What does a Google Program Manager do at Google?

A Google Program Manager oversees the planning, execution, and delivery of complex projects within Google, coordinating cross-functional teams to meet objectives on time and within scope. They manage project timelines, communicate with stakeholders, and utilize tools like G Suite and project management software to ensure successful outcomes.
What are popular job titles related to Google Program Manager jobs in Oceanside, CA? For Google Program Manager jobs in Oceanside, CA, the most frequently searched job titles are:
What job categories do people searching Google Program Manager jobs in Oceanside, CA look for? The top searched job categories for Google Program Manager jobs in Oceanside, CA are:
What cities near Oceanside, CA are hiring for Google Program Manager jobs? Cities near Oceanside, CA with the most Google Program Manager job openings:
Infographic showing various Google Program Manager job openings in Oceanside, CA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $111,172 per year, or $53.4 per hour.

Senior Google Forward Deployed Engineer - GPS

Deloitte

San Diego, CA

$110K - $152K/yr

Other

Re-posted yesterday


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

46th of 150 rated financial services


Job description

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Senior Google FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement:

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.
  • Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
  • Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
  • Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.

Solution Engineering:

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Bachelor's degree (or equivalent) in Computer Science, Data Science, or Engineering
  • Active Google Associate Data Practitioner or Associate Cloud Engineer certification
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering, including 3+ years of experience building reliable, maintainable, and documented code
  • 1+ years of hands-on experience building and deploying GenAI or large language model-powered solutions in client or production environments
  • 1+ years of experience with Google Cloud or Google artificial intelligence technologies, including hands-on experience with at least one of the following: Gemini API, Vertex AI Agent Builder, Grounding, or Google Workspace integration
  • 1+ years of experience leading project workstreams or engagements and translating business problems into AI solutions; ability to obtain and maintain a US government security clearance
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Professional level Google Certification
  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud and platform services including storage, compute, identity and access management, and networking
  • Experience working directly with client technical teams and program stakeholders in delivery environments
  • Experience with Spark, Airflow, dbt, streaming, data modeling, feature engineering, experimentation, or model evaluation
  • Experience with machine learning operations or large language model operations practices, including evaluation frameworks, model monitoring, and prompt management
  • Experience integrating large language model solutions with enterprise systems using application programming interfaces, microservices, or event-driven architectures
  • Familiarity with security, privacy, or compliance requirements

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


ai&e fy27 profile

Qualifications:

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Senior Google FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement:

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.
  • Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
  • Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
  • Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.

Solution Engineering:

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Bachelor's degree (or equivalent) in Computer Science, Data Science, or Engineering
  • Active Google Associate Data Practitioner or Associate Cloud Engineer certification
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering, including 3+ years of experience building reliable, maintainable, and documented code
  • 1+ years of hands-on experience building and deploying GenAI or large language model-powered solutions in client or production environments
  • 1+ years of experience with Google Cloud or Google artificial intelligence technologies, including hands-on experience with at least one of the following: Gemini API, Vertex AI Agent Builder, Grounding, or Google Workspace integration
  • 1+ years of experience leading project workstreams or engagements and translating business problems into AI solutions; ability to obtain and maintain a US government security clearance
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Professional level Google Certification
  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud and platform services including storage, compute, identity and access management, and networking
  • Experience working directly with client technical teams and program stakeholders in delivery environments
  • Experience with Spark, Airflow, dbt, streaming, data modeling, feature engineering, experimentation, or model evaluation
  • Experience with machine learning operations or large language model operations practices, including evaluation frameworks, model monitoring, and prompt management
  • Experience integrating large language model solutions with enterprise systems using application programming interfaces, microservices, or event-driven architectures
  • Familiarity with security, privacy, or compliance requirements

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to ...


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