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Google Startup Jobs (NOW HIRING)

Startup Secretary

Novi, MI · On-site

$12/hr

This position is to support the owner / CEO of a startup, the position involve mangaging ... The secretary will use company tools (including google suites app) and existing site administration ...

This position is to support the owner / CEO of a startup, the position involve mangaging ... The secretary will use company tools (including google suites app) and existing site administration ...

Experience working with cloud provider startup programs (e.g., AWS Activate, Google for Startups) or co-sell motions * Experience enabling sales teams and delivering training on technical products

The Neo4j Startup Program is a technical startup program that enables the success of high-growth ... Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital ...

... Google Workspace, and SlackAI-native mindset -- you actively incorporate AI tools into your daily workflow to improve speed and output qualityHigh emotional intelligence, discretion, and the ability ...

... Google Workspace, and SlackAI-native mindset -- you actively incorporate AI tools into your daily workflow to improve speed and output qualityHigh emotional intelligence, discretion, and the ability ...

Showing results 21-40

Google Startup information

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How much do google startup jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for google startup in the United States is $18.27, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $18.75 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.

More about Google Startup jobs

What cities are hiring for Google Startup jobs?

Cities with the most Google Startup job openings:

What states have the most Google Startup jobs?

States with the most job openings for Google Startup jobs include:

Infographic showing various Google Startup job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution, with an average salary of $38,000 per year, or $18.3 per hour.

Forward Deployed Engineer IV, Google Public Sector with Security Clearance

Google, Inc.

Reston, VA • On-site

$55 - $75.25/hr

Other

Posted 23 days ago


Google rating

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


Job description

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. 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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