E-Commerce H-1B1 Singapore Sponsorship Jobs in Washington
Washington's e-commerce sector spans Amazon's global headquarters in Seattle to a growing cluster of online marketplace and retail technology companies in Bellevue and Redmond. Singaporean professionals in product management, software engineering, UX, and data roles will find H-1B1 Singapore sponsorship activity concentrated among large-scale e-commerce platforms and their technology vendors throughout the Puget Sound region.
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Get Access To All JobsAbout the Role
The AI Knowledge Architect (customer support) role sits within the Global Digital Experience (GDX) team and is responsible for building and maintaining the knowledge portion of the brain of our customer-facing AI agents. You will develop the knowledge needed by LLMs to craft empathetic responses, design conversational logic, and provide business context that allow our AI agents to respond against complex customer problems autonomously. You will be the connector between expressed customer requests, support policies and customer data and convert these into intuitive, empathetic and brand-aligned AI responses.
Your role requires a combination of skills - precision of a Technical Writer, empathy of a UX Designer, and the logic of a Prompt Engineer. Your role starts with writing articles but extends to structuring knowledge so an AI agent can reason, retrieve, and act upon it accurately.
This role sits at the intersection of Community Operations (CommOps) and Customer Obsession (CO) Product. You will work closely with CommOps frontline teams to deeply understand their customer requirements and collaborate with engineering and product teams to build knowledge that optimizes segmented customer experience.
What the Candidate Will Do
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AI Knowledge authoring: Author and structure prompt-aware content for AI agents to ensure the AI provides accurate, empathetic responses without hallucinations. Decide where the AI does not need any additional content, where it needs some context, where it can pull data from upstream systems for context and where it needs a lot of details, and tailor knowledge accordingly. Incorporate tribal knowledge from various parts of Uber into the knowledge base to ensure the AI agents are able to respond to customer queries effectively.
-
AI Information architecture: Ensure the content provided to the AI agents are relevant, accurate, updated, non-conflicting and succinct. Identify gaps in content leading to AI agents not being able to help customers or providing wrong responses and fix those quickly. Ensure easy knowledge access for AI agents (e.g., clean up metadata where needed, improve vector match probabilities, decide how to chunk knowledge so that retrieval is highly accurate and efficient from a latency and cost perspective).
-
AI Performance Tuning and standards improvement: Analyze failed AI conversations to identify knowledge gaps, then update documentation or metadata to improve future performance. Use your knowledge of the Tech stack to ensure retrieval accuracy is high and AI responses are crafted according to segmentation requirements and decision logic. Provide feedback to the Global Content team to improve content standards in case they are hindering the delivery of good responses.
-
Product Thinking: Provide feedback to product and Engineering teams to improve prompts to effectively leverage AI knowledge and on platform enhancements needed for authoring effective AI knowledge. Operate in an agile fashion to adapt knowledge to Technology and product advancements in a rapidly changing AI ecosystem.
-
Experiment with Knowledge options: Lead the product and use case evolution to better response patterns by experimenting with options to decide what amount of deterministic knowledge inputs is necessary and where to depend on LLM reasoning.
-
Cross-functional Partnership: Engage deeply with CommOps teams to identify customer experience needs and usability requirements for AI agents and address them through knowledge improvements. Engage with the Global Content team to ensure content standards, tone of voice and strategy is adhered to. Engage with Legal teams where relevant to get relevant approvals for the knowledge created.
Basic Qualifications
- 8+ years of experience in Technical Writing, Information Architecture, Conversation Design, or Product Operations
- 1+ year of demonstrated hands-on work with AI Knowledge
Preferred Qualifications
- Experience of working with leading LLMs (e.g., GPT-4, Claude, Gemini) and Gen AI concepts like RAG, Agentic AI, chain-of-thought prompting, decision flows, AI reasoning, etc.
- Excellent collaboration skills with both technical (e.g., product managers, engineers, data scientists, and UX teams) and non-technical stakeholders
- Systems thinking, especially ability to identify downstream implications of knowledge gaps and judgment around edge cases, ambiguity, and exception handling
- Strong business acumen and customer understanding; exposure to cognitive sciences is a plus
- Analytical mindset with attention to precision and clarity; ability to read latency and accuracy logs to see where the AI "got lost" in the knowledge base
- Understanding of semantic precision in the AI context
- Ability to thrive in a fast-paced, ambiguous environment
- Experience in Operations or program management is a plus
- Experience of working on human-computer interactions is a plus
- Exceptional verbal communication skills
- Familiarity with SQL, Python, JSON, etc. is a plus
Compensation
- For Chicago, IL-based roles: The base salary range for this role is USD$146,000 per year - USD$162,000 per year.
- For New York, NY-based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year.
- For San Francisco, CA-based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year.
- For Seattle, WA-based roles: The base salary range for this role is USD$146,000 per year - USD$162,000 per year.
- For Sunnyvale, CA-based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
About the Role
The AI Knowledge Architect (customer support) role sits within the Global Digital Experience (GDX) team and is responsible for building and maintaining the knowledge portion of the brain of our customer-facing AI agents. You will develop the knowledge needed by LLMs to craft empathetic responses, design conversational logic, and provide business context that allow our AI agents to respond against complex customer problems autonomously. You will be the connector between expressed customer requests, support policies and customer data and convert these into intuitive, empathetic and brand-aligned AI responses.
Your role requires a combination of skills - precision of a Technical Writer, empathy of a UX Designer, and the logic of a Prompt Engineer. Your role starts with writing articles but extends to structuring knowledge so an AI agent can reason, retrieve, and act upon it accurately.
This role sits at the intersection of Community Operations (CommOps) and Customer Obsession (CO) Product. You will work closely with CommOps frontline teams to deeply understand their customer requirements and collaborate with engineering and product teams to build knowledge that optimizes segmented customer experience.
What the Candidate Will Do
-
AI Knowledge authoring: Author and structure prompt-aware content for AI agents to ensure the AI provides accurate, empathetic responses without hallucinations. Decide where the AI does not need any additional content, where it needs some context, where it can pull data from upstream systems for context and where it needs a lot of details, and tailor knowledge accordingly. Incorporate tribal knowledge from various parts of Uber into the knowledge base to ensure the AI agents are able to respond to customer queries effectively.
-
AI Information architecture: Ensure the content provided to the AI agents are relevant, accurate, updated, non-conflicting and succinct. Identify gaps in content leading to AI agents not being able to help customers or providing wrong responses and fix those quickly. Ensure easy knowledge access for AI agents (e.g., clean up metadata where needed, improve vector match probabilities, decide how to chunk knowledge so that retrieval is highly accurate and efficient from a latency and cost perspective).
-
AI Performance Tuning and standards improvement: Analyze failed AI conversations to identify knowledge gaps, then update documentation or metadata to improve future performance. Use your knowledge of the Tech stack to ensure retrieval accuracy is high and AI responses are crafted according to segmentation requirements and decision logic. Provide feedback to the Global Content team to improve content standards in case they are hindering the delivery of good responses.
-
Product Thinking: Provide feedback to product and Engineering teams to improve prompts to effectively leverage AI knowledge and on platform enhancements needed for authoring effective AI knowledge. Operate in an agile fashion to adapt knowledge to Technology and product advancements in a rapidly changing AI ecosystem.
-
Experiment with Knowledge options: Lead the product and use case evolution to better response patterns by experimenting with options to decide what amount of deterministic knowledge inputs is necessary and where to depend on LLM reasoning.
-
Cross-functional Partnership: Engage deeply with CommOps teams to identify customer experience needs and usability requirements for AI agents and address them through knowledge improvements. Engage with the Global Content team to ensure content standards, tone of voice and strategy is adhered to. Engage with Legal teams where relevant to get relevant approvals for the knowledge created.
Basic Qualifications
- 8+ years of experience in Technical Writing, Information Architecture, Conversation Design, or Product Operations
- 1+ year of demonstrated hands-on work with AI Knowledge
Preferred Qualifications
- Experience of working with leading LLMs (e.g., GPT-4, Claude, Gemini) and Gen AI concepts like RAG, Agentic AI, chain-of-thought prompting, decision flows, AI reasoning, etc.
- Excellent collaboration skills with both technical (e.g., product managers, engineers, data scientists, and UX teams) and non-technical stakeholders
- Systems thinking, especially ability to identify downstream implications of knowledge gaps and judgment around edge cases, ambiguity, and exception handling
- Strong business acumen and customer understanding; exposure to cognitive sciences is a plus
- Analytical mindset with attention to precision and clarity; ability to read latency and accuracy logs to see where the AI "got lost" in the knowledge base
- Understanding of semantic precision in the AI context
- Ability to thrive in a fast-paced, ambiguous environment
- Experience in Operations or program management is a plus
- Experience of working on human-computer interactions is a plus
- Exceptional verbal communication skills
- Familiarity with SQL, Python, JSON, etc. is a plus
Compensation
- For Chicago, IL-based roles: The base salary range for this role is USD$146,000 per year - USD$162,000 per year.
- For New York, NY-based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year.
- For San Francisco, CA-based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year.
- For Seattle, WA-based roles: The base salary range for this role is USD$146,000 per year - USD$162,000 per year.
- For Sunnyvale, CA-based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
E-Commerce Job Roles in Washington
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Search E-Commerce Jobs in WashingtonE-Commerce Jobs in Washington: Frequently Asked Questions
Which e-commerce companies in Washington sponsor H-1B1 Singapore visas?
Amazon is the most prominent e-commerce employer in Washington with a documented history of H-1B1 visa Singapore filings, given its Seattle and Bellevue footprints. Companies like Nordstrom, Expedia Group, and T-Mobile's e-commerce divisions have also filed Labor Condition Applications for specialty occupation roles. Sponsorship activity tends to concentrate in companies running large-scale digital retail, marketplace, or fulfillment technology operations in the state.
Which cities in Washington have the most e-commerce H-1B1 Singapore sponsorship jobs?
Seattle leads the state by a significant margin, driven by Amazon's headquarters and a dense ecosystem of e-commerce technology suppliers and logistics companies. Bellevue and Redmond also have meaningful activity, with several large retail technology and online marketplace employers maintaining offices there. Tacoma and Kirkland have smaller but growing e-commerce presences, particularly in fulfillment operations and regional retail technology roles.
What types of e-commerce roles typically qualify for H-1B1 Singapore sponsorship?
Roles that require a bachelor's degree or higher in a directly related specialty field qualify. In e-commerce, this commonly includes software engineers, data scientists, product managers, UX researchers, business intelligence analysts, and digital marketing strategists with specialized technical backgrounds. Generalist roles or positions where any degree field is accepted typically do not meet the specialty occupation standard required for H-1B1 Singapore classification.
How do I find e-commerce H-1B1 Singapore sponsorship jobs in Washington?
Migrate Mate filters e-commerce job listings in Washington specifically by H-1B1 Singapore sponsorship history, using DOL Labor Condition Application data to surface employers who have filed for Singaporean workers in relevant roles. This is more reliable than standard job boards because it reflects actual sponsorship behavior rather than employer self-reporting. You can search by role type, city, and employer size to narrow results to the most relevant opportunities in Washington's e-commerce sector.
Are there any Washington-specific or e-commerce-specific considerations for H-1B1 Singapore sponsorship?
Washington has no state income tax, which affects prevailing wage comparisons since take-home pay differs from states that do tax wages, though this does not change the DOL's prevailing wage calculation methodology. E-commerce employers in Washington frequently file LCAs for roles tied to specific product lines or platforms, meaning job descriptions are often highly technical. Singaporean applicants should confirm their degree field aligns directly with the posted role's requirements before pursuing an application.
What is the prevailing wage for H-1B1 Singapore e-commerce jobs in Washington?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.