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Google Startup Jobs in Virginia (NOW HIRING)

SZNS Solutions LLC

Senior Software Engineer

Reston, VA · On-site

$127K - $168K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... Experience working in a startup or fast-paced environment. * Familiarity with Figma or similar ...

SZNS Solutions LLC

Senior Software Engineer

Reston, VA · On-site

$127K - $168K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... Experience working in a startup or fast-paced environment. * Familiarity with Figma or similar ...

SZNS Solutions LLC

Senior Software Engineer

Reston, VA

$127K - $168K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... Experience working in a startup or fast-paced environment. * Familiarity with Figma or similar ...

Range

Support Analyst

Mclean, VA · On-site

We're backed by Google's Gradient Ventures, Cathay Innovation, Scale Venture Partners, and more. We ... SaaS startup or FinTech experience preferred * Strong problem-solving and written communication ...

Range

Head of Business Operations

Mclean, VA · On-site

Backed by Google's Gradient Ventures, Cathay Innovations, and Scale Venture Partners, we're in ... Every Ranger at this stage is shaping our culture and way of life-from former CEOs and startup ...

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How much do google startup jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for google startup in Virginia is $18.11, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $18.61 per hour, depending on experience, location, and employer.

What is a Google startup?

A Google Startup typically refers to a new business venture that is participating in one of Google's startup support programs, such as Google for Startups. These programs provide resources, mentorship, networking opportunities, and sometimes funding to early-stage companies aiming to scale and grow using technology. Google for Startups connects entrepreneurs with Google's tools, best practices, and global community to help them succeed. Startups in these programs benefit from access to Google's products, cloud services, and expert guidance.

What are the key skills and qualifications needed to thrive as a startup founder at Google or in a Google-backed startup?

To thrive as a startup founder, you need entrepreneurial vision, business acumen, and a strong understanding of your target market, often complemented by experience in product development or management. Familiarity with cloud technologies, data analytics tools, and agile development methodologies is typically important, as well as knowledge of securing funding and scaling operations. Leadership, resilience, and the ability to communicate your vision effectively are standout soft skills in this role. These abilities are crucial for driving innovation, building a scalable business, and attracting both talent and investment in a highly competitive environment.

What are some common challenges faced when working at a Google-affiliated startup, and how can candidates prepare for them?

Working at a Google-affiliated startup often involves navigating a fast-paced, innovative environment with evolving priorities. Employees may face challenges such as adapting quickly to change, dealing with ambiguity, and balancing creative problem-solving with meeting ambitious goals. Candidates can prepare by developing strong communication skills, embracing a growth mindset, and being comfortable working across cross-functional teams. Demonstrating flexibility and a willingness to learn new technologies or processes will also help you thrive in this dynamic setting.

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

AspectGoogle StartupGoogle Product Manager
Required CredentialsBachelor's degree, relevant experience, technical or business backgroundBachelor's or Master's degree, experience in product development, technical knowledge often preferred
Work EnvironmentFast-paced, innovative, startup culture with cross-functional teamsStructured, collaborative environment focused on product lifecycle management
Employer & Industry UsageStartups, tech companies, entrepreneurial settingsLarge tech companies like Google, tech industry leaders
Common Search & ComparisonYesYes

Google Startup roles typically involve dynamic, fast-paced environments requiring versatile skills, while Google Product Managers focus on overseeing product development within established structures. Both roles demand technical and business knowledge but differ in scope and organizational setting.

What are popular job titles related to Google Startup jobs in Virginia?

For Google Startup jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Google Startup jobs in Virginia look for?

The top searched job categories for Google Startup jobs in Virginia are:

Google Startup jobs near you
Infographic showing various Google Startup job openings in Virginia as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $37,674 per year, or $18.1 per hour.

Forward Deployed Engineer IV, Google Public Sector

Reston, VA • On-site

Google
Software Development • 10K+ employees

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 246 rated software companies

Free food

Great coworkers

People enjoy working here

Learn more about Googleexternal

Full-time

Posted 26 days ago

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 architecting AI systems on cloud platforms (e.g. Google Cloud Platform (GCP)).
  • Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions.
  • Experience leading technical discovery sessions with customers.
  • Must possess an active Top Secret/SCI security clearance with current polygraph.

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.
  • Proficiency in Vertex AI Pipelines, Kubeflow, or MLflow to implement CI/CD/CT automation and experimentation.
  • Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
  • Designing resilient data engineering pipelines using BigQuery and VertexAI for enterprise-scale analytics.

About the job
As a part of the Google Public Sector Forward Deployed Engineering (GPS FDE) team, you will join squad of "innovator-builders" who rapidly deploy production-grade, secure AI solutions across Federal and SLED environments. You will operate with a high-agency startup mindset, where engineers don't just advise; they actively code, debug, and co-build bespoke agentic workflows directly alongside customers. You will resolve complex integration, data sovereignty, and security challenges within strict compliance frameworks. You will help the GPS FDE team accelerate 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 (ROI).
  • 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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