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Google Express Jobs in New York (NOW HIRING)

Assistant Designer

Manhattan, NY · On-site

$28.17 - $39.47/hr

About Express Express is a multichannel apparel brand dedicated to a design philosophy rooted in ... Proficiency in: WebPDM, Adobe Illustrator, Photoshop, Google CRITICAL SKILLS & ATTRIBUTES

About Express Express is a multichannel apparel brand dedicated to a design philosophy rooted in ... Proficiency or willingness to learn BeProduct, Microsoft and Google products * Efficiency, accuracy ...

About Express Express is a multichannel apparel brand dedicated to a design philosophy rooted in ... Google products Efficiency, accuracy and focus on all data entry work Organized through process ...

Assistant Designer

Manhattan, NY · On-site

$28.17 - $39.47/hr

About Express Express is a multichannel apparel brand dedicated to a design philosophy rooted in ... WebPDM, Adobe Illustrator, Photoshop, Google CRITICAL SKILLS & ATTRIBUTES Internship in Fashion ...

Assistant Designer

Manhattan, NY · On-site

$28.17 - $39.47/hr

About Express Express is a multichannel apparel brand dedicated to a design philosophy rooted in ... Proficiency in: WebPDM, Adobe Illustrator, Photoshop, Google CRITICAL SKILLS & ATTRIBUTES

Analyst

Rutherford, NJ · On-site

$70 - $95/hr

... and Google sheets Strong business acumen Required Minimum Years Experience 2+ industry experience and/or 1+ function related experience preferred Required Minimum Education Ocean Network Express ...

Assistant Designer

Manhattan, NY · On-site

$28.17 - $39.47/hr

About Express Express is a multichannel apparel brand dedicated to a design philosophy rooted in ... Proficiency in: WebPDM, Adobe Illustrator, Photoshop, Google CRITICAL SKILLS & ATTRIBUTES

About Express Express is a multichannel apparel brand dedicated to a design philosophy rooted in ... Proficiency or willingness to learn BeProduct, Microsoft and Google products * Efficiency, accuracy ...

Senior Analysts, Data Science

New York, NY · On-site

$94K - $118K/yr

American Express Travel Related Services Company, Inc. seeks Senior Analysts, Data Science to ... including Google Big Query, Hive, MySQL Server, Numpy, Pandas, PySpark, Python, Spark, and SQL.

Wholesale Associate

Manhattan, NY · On-site

$78K - $108K/yr

Overview About PHOENIX PHOENIX Retail, LLC is a retail platform operating the Express and Bonobos ... ATS creation as needed in both google and NuOrder line sheets * Substitution exercises for delayed ...

Production Coordinator

Manhattan, NY · On-site

$70K - $99K/yr

Overview About PHOENIX PHOENIX Retail, LLC is a retail platform operating the Express and Bonobos ... and Google Suite Ability to multi task and have strong organizational skills Ability to adapt and ...

Wholesale Associate

Manhattan, NY · On-site

$78K - $108K/yr

Overview About PHOENIX PHOENIX Retail, LLC is a retail platform operating the Express and Bonobos ... ATS creation as needed in both google and NuOrder line sheets * Substitution exercises for delayed ...

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Google Express information

See New York salary details

$5

$19

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How much do google express jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for google express in New York is $19.99, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $20.53 per hour, depending on experience, location, and employer.

What is Google Express?

Google Express was an online shopping and delivery service offered by Google that allowed users to shop from various retailers and have their items delivered directly to their homes. The service aimed to make shopping more convenient by aggregating products from multiple stores into one online platform. In 2019, Google Express was merged into Google Shopping, and its standalone service was discontinued. Now, users can use Google Shopping to browse, compare, and purchase items from different retailers.

What skills and qualifications are needed to thrive as a Google Express Operations Associate?

To thrive as a Google Express Operations Associate, you need strong organizational skills, problem-solving abilities, and experience in logistics or supply chain management, often supported by a relevant degree. Familiarity with order management systems, warehouse management software, and data analysis tools like Excel is typically required. Excellent communication, teamwork, and adaptability help you collaborate efficiently and respond to dynamic operational challenges. These skills and qualities are vital to ensure efficient order fulfillment, customer satisfaction, and smooth warehouse operations.

What teams or departments do Google Express employees typically collaborate with, and how does this impact daily work?

Employees working on Google Express frequently collaborate with cross-functional teams, including engineering, product management, marketing, logistics, and customer support. This collaborative environment helps ensure that product features, delivery logistics, and user experience are aligned with business goals. Daily work often involves attending meetings with various stakeholders, coordinating on project timelines, and sharing updates to address challenges quickly. Such cross-team collaboration fosters a dynamic work atmosphere and provides valuable exposure to different aspects of the business.

What is the difference between Google Express vs Delivery Driver?

AspectGoogle ExpressDelivery Driver
Primary RoleOnline shopping delivery service for customersTransporting goods from warehouses or stores to customers
Work EnvironmentWarehouse and delivery routes, often flexible hoursOn the road, driving personal or company vehicle
Required CredentialsValid driver’s license, background checkValid driver’s license, background check
Employer & IndustryGoogle/Alphabet, e-commerce/logisticsVarious companies, logistics/delivery industry

Google Express primarily focuses on delivering online shopping orders for customers, often involving warehouse work and flexible schedules. Delivery Drivers transport goods from stores or warehouses directly to customers, working mainly on the road. Both roles require a valid driver’s license and background checks, but their work environments and primary responsibilities differ significantly.

What are popular job titles related to Google Express jobs in New York?

For Google Express jobs in New York, the most frequently searched job titles are:

What job categories do people searching Google Express jobs in New York look for?

The top searched job categories for Google Express jobs in New York are:

What cities in New York are hiring for Google Express jobs?

Cities in New York with the most Google Express job openings:

Infographic showing various Google Express job openings in New York as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $41,573 per year, or $20 per hour.

AI Engineer - Google AI & Generative Intelligence - Full Time Role

Saransh Inc

Paramus, NJ • On-site

$98K - $135K/yr

Full-time

Re-posted 22 hours ago


Key responsibilities

  • Design, develop, and deploy AI agents leveraging large language models and multimodal tasks.

  • Lead the integration of AI solutions with Google Workspace, BigQuery, Lakehouse, and Google Cloud Platform services.

  • Manage the development of AI workflows, semantic search architectures, and enterprise-grade RAG pipelines.


Job description

Role: AI Engineer – Google AI & Generative Intelligence
Location: Paramus, NJ (All the 5 days a week onsite is required)
Job Type: Full Time
 
Experience Required: 10–15 Years in Software Engineering | 3+ Years in Artificial Generative Intelligence
 
Role Overview:
  • We are seeking a highly experienced Senior AI Engineer with deep expertise in Google AI technologies and Generative AI.
  • The ideal candidate brings 10–15 years of broad software engineering experience, with the last 2+ years focused exclusively on Artificial Generative Intelligence, including designing, building, deploying, and monitoring production-grade AI systems.
  • This role demands mastery of the Google ecosystem — including Google Workspace, Google Agent Development Kit (ADK), and Vertex AI — alongside a strong command of modern LLM/SLM frameworks, cloud-native infrastructure, and MLOps best practices.
Key Responsibilities:
1. AI Engineering
Design, develop, and deploy Agents leveraging commercial LLMs such as Gemini (Google), GPT (OpenAI), and Claude Sonnet (Anthropic) for high-performance, large-context, and multimodal tasks.
2. Google AI & Workspace Integration
Lead the design and implementation of AI-powered solutions deeply integrated with Google Workspace (Docs, Sheets, Drive, Gmail, Meet), Big Query and Lakehouse.
Architect and build intelligent agents and workflows using Google Agent Development Kit (ADK).
Leverage Google AI Studio as the primary IDE, VSCode for AI application development and prototyping.
Utilize Google Cloud Platform (GCP) services including:
Vertex AI for ML model training, tuning, and deployment
Vertex AI Vector DBs for semantic search and retrieval
3. Design & Planning
Lead requirements gathering using Confluence for documentation and team collaboration.
Create detailed system architecture diagrams and AI workflows using Lucidchart.
Manage project delivery and sprint planning using Jira.
4. Development Frameworks & Tools
Orchestrate LLM/SLM applications using LangChain, LlamaIndex, and LangGraph.
Build multi-agent systems with Semantic Kernel, and LangGraph.
Manage and optimize prompts using LangSmith and PromptLayer.
Manage code and data versioning with Git.
5. Vector Databases & Semantic Search
Implement semantic search and Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Vector DBs and ChromaDB.
Design and optimize end-to-end RAG architectures for enterprise-grade knowledge retrieval.
6. Backend Development
Develop robust RESTful APIs using FastAPI (Python) or Express.js (Node.js).
Manage and secure APIs using Mulesoft, Apigee.
7. Frontend Development
Drupal Content Management System (PHP Backend + JS Frontend) - Drupal 10.4, PHP 8.1
Build modern user interfaces using React or Angular.
Utilize Material-UI for consistent, accessible, and modern UI components.
OAuth2 authentication.
8. Development Tools & Code Quality
Write and debug code in VS Code with Python and GitHub Copilot extensions.
Manage source code with GitHub or GitLab.
Enforce code quality and standards using SonarQube, ESLint, and Pylint.
9. Testing & Quality Assurance
Conduct LLM-specific testing using RAGAS and DeepEval for LLM/RAG pipeline evaluation.
Use LangSmith Evaluators for prompt testing and hallucination detection.
Write and execute unit tests using pytest.
Ensure output quality and reliability using LangChain Evaluators and custom metrics.
10. Deployment & Infrastructure.
 Support on-premise, cloud (GCP/Vertex AI), and hybrid infrastructure deployments including edge devices for local inference.
 
Required Qualifications:
  • 10–15 years of overall software engineering experience.
  • 3+ years of hands-on experience in Artificial Generative Intelligence, including LLMs, SLMs, RAG, and multi-agent systems.
  • Deep expertise in Google AI ecosystem: Gemini, Vertex AI, Google ADK, Google AI Studio, and Google Workspace integrations.
  • Proficiency in Python (primary) and familiarity with Node.js.
  • Strong background in cloud-native development on GCP.
  • Experience with multi-agent AI architectures using Semantic Kernel, or LangGraph.