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Google Public Policy Jobs (NOW HIRING)

Public Policy Development Intern

Largo, FL · Remote

$12.75 - $17/hr

Public Policy Development Intern Department: Public Policy Organization: A Better Way Political ... Proficiency in digital collaboration (Zoom, Google Workspace), strong written advocacy ...

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Google Public Policy information

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$53K

$131.7K

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How much do google public policy jobs pay per year?

As of Sep 7, 2026, the average yearly pay for google public policy in the United States is $131,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $145,000.00 per year, depending on experience, location, and employer.

What is a Google Public Policy?

A Google Public Policy job involves shaping policies that impact Google's products, services, and users while working with governments, regulators, and stakeholders. Professionals in this role address issues like data privacy, internet governance, AI ethics, and digital accessibility. They advocate for Google's interests, collaborate with policymakers, and ensure compliance with global regulations.

What are some common challenges faced in a Google Public Policy role?

Professionals in Google Public Policy frequently encounter the challenge of keeping up with rapidly evolving regulations and digital policy landscapes across multiple regions. Balancing the diverse interests of internal teams, external stakeholders, and governmental bodies can be complex and requires flexibility and strategic thinking. The work often involves distilling highly technical information into clear, actionable policy positions and advocating these to non-technical audiences. Those who excel in this role are effective at managing priorities, navigating ambiguity, and adapting to shifting regulatory developments while collaborating with cross-functional teams.

What are the key skills and qualifications needed to thrive in the Google Public Policy position, and why are they important?

To thrive in a Google Public Policy role, you need a strong background in policy analysis, regulatory affairs, and public affairs, usually supported by a relevant degree such as law, public policy, or political science. Familiarity with policy research tools, legislative tracking systems, and data analysis software is often important, along with knowledge of digital policy issues. Exceptional communication, relationship-building, and negotiation skills help you effectively advocate for company interests and coordinate with stakeholders. These skills are vital for navigating complex regulatory environments, building consensus, and advancing Google's policy objectives globally.

More about Google Public Policy jobs

What cities are hiring for Google Public Policy jobs?

Cities with the most Google Public Policy job openings:

What states have the most Google Public Policy jobs?

States with the most job openings for Google Public Policy jobs include:

Infographic showing various Google Public Policy job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $131,692 per year, or $63.3 per hour.

Forward Deployed Engineer IV, GenAI, Google Public Sector

Google

Reston, VA • On-site

$119K - $143K/yr

Full-time

Re-posted 8 days ago


Key responsibilities

  • Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows.

  • Architect and code the connective tissue between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.

  • Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies


Job description

info_outline
X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications:
  • Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience with software development using Python or similar coding languages.
  • Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
  • Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
  • Experience leading technical discovery sessions with customers.
  • Must possess an active Top Secret/SCI security clearance.

Preferred qualifications:
  • Master's degree or PhD in AI, Computer Science, or a related technical field.
  • Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
  • Proven experience architecting integrated systems, navigating real-time inference constraints, and implementing model quantization for resource-constrained environments.
  • Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
  • Proficiency in Vertex AI Pipelines, Kubeflow, or MLflow to implement robust CI/CD/CT automation and experimentation.
  • Designing resilient data engineering pipelines using BigQuery and VertexAI for enterprise-scale analytics.

About the job
The Google Public Sector Forward Deployed Engineering (GPS FDE) team is a squad of direct "innovator-builders" who rapidly deploy production-grade, secure AI solutions across Federal and SLED environments. Operating with a high-agency startup mindset, our engineers don't just advise; they actively code, debug, and co-build bespoke agentic workflows directly alongside our customers. We resolve complex integration, data sovereignty, and security challenges within strict compliance frameworks. Ultimately, the GPS FDE team accelerates the safe, reliable adoption of generative AI across mission-critical operations while feeding field insights directly back to Google Cloud Product engineering.
Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.
  • Architect and code the connective tissue between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
  • Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
  • Identify repeatable field patterns and friction points in Google's AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
  • Co-build with Customer Engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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