ZipRecruiter

Log In

1

Manager Knowledge Graph Jobs in Everett, WA (NOW HIRING)

Zoom

Sr. Machine Learning Engineer - AI

Seattle, WA · On-site

$157.44 - $236.20/hr

... management (AWS KMS, internal CSMS. * Work with asynchronous, distributed messaging frameworks (AsyncMQ). * Optimize knowledge graph algorithms for performance, scalability, and reliability.

Amazon

Ontologist, Product Knowledge

Seattle, WA · On-site

Analyze website metrics and product discovery behaviors to make data-driven decisions on optimizing our knowledge graph data models globally * Contribute to the development of new tool features and ...

Amazon

Ontologist, Product Knowledge

Seattle, WA · On-site

Analyze website metrics and product discovery behaviors to make data-driven decisions on optimizing our knowledge graph data models globally * Contribute to the development of new tool features and ...

Amazon

Ontologist, Product Knowledge

Seattle, WA

Analyze website metrics and product discovery behaviors to make data-driven decisions on optimizing our knowledge graph data models globally * Contribute to the development of new tool features and ...

Amazon

Ontologist, Product Knowledge

Seattle, WA

Analyze website metrics and product discovery behaviors to make data-driven decisions on optimizing our knowledge graph data models globally * Contribute to the development of new tool features and ...

Amazon

Ontologist, Product Knowledge

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... knowledge graph data models globally * Contribute to the development of new tool features and ... and manage ambiguity - Proven track record of strong communication and interpersonal skills ...

Amazon

Ontologist, Product Knowledge

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... knowledge graph data models globally * Contribute to the development of new tool features and ... and manage ambiguity - Proven track record of strong communication and interpersonal skills ...

Geico

Staff Engineer - Applied AI

Seattle, WA · On-site

... and knowledge graph integration. * Ability to collaborate deeply across teams and co-create solutions with engineers, product managers, and domain experts. * Experience mentoring engineers and ...

Netflix

Software Engineer 5 - Ads Identity Graph

Seattle, WA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Our Team The Netflix Ads Identity Graph team develops the Netflix Ads Identity Graph and Identity ... manage multiple priorities. * Knowledge of the ad tech and advertising landscape, including ...

AgenticBricks

Sr. AI Solutions Engineer

Seattle, WA · On-site

$120 - $150/hr

Ability to work independently, manage your own priorities, and deliver in an agile environment Nice ... Familiarity with vector databases or knowledge graph systems * Background supporting technology ...

previous pagenext page

Showing results 21-40

All JobsKnowledge Graph JobsManager Knowledge Graph JobsManager Knowledge Graph Jobs in Everett, WA

Manager Knowledge Graph information

See Everett, WA salary details

$10

$29

$59

How much do manager knowledge graph jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for manager knowledge graph in Everett, WA is $29.11, according to ZipRecruiter salary data. Most workers in this role earn between $19.13 and $36.11 per hour, depending on experience, location, and employer.

What is the difference between Manager Knowledge Graph vs Data Analyst?

AspectManager Knowledge GraphData Analyst
Required CredentialsBachelor's degree in Computer Science, Data Science, or related field; knowledge of graph databasesBachelor's degree in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentCollaborative teams, often in tech or data-driven companiesOffice setting, analyzing data sets, creating reports
Industry UsageUsed in AI, semantic web, knowledge management projectsUsed across finance, marketing, healthcare for data insights

The Manager Knowledge Graph focuses on designing and managing knowledge graph systems, requiring expertise in graph databases and data modeling. Data Analysts primarily interpret data to generate insights, using statistical tools. While both roles work with data, the Manager Knowledge Graph is more technical and system-oriented, whereas Data Analysts focus on data interpretation and reporting.

Manager Knowledge Graph jobs near you

Senior Software Development Manager, AWS Quick

Amazon

Seattle, WA • On-site

Full-time

Posted 20 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,098 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Are you passionate about building intelligent systems that make AI agents truly useful, and leading teams that ship foundational infrastructure at scale. We're looking for a Senior Software Development Manager (SSDM) to lead our Agent Intelligence Platform team within Quick Engineering, the organization behind Amazon Quick.
The Agent Intelligence Platform team owns the core infrastructure that powers the brain of Quick: memory, knowledge graph, sessions, and the runtime primitives that give the agent persistent context and reasoning capabilities. As the SSDM, you will drive the technical vision for these systems, set the bar for operational excellence, and lead the team in building new experiences that help users achieve more with Quick every day.
This is a leadership opportunity to own the foundational layer of a rapidly growing AI product, shape its architecture, and push the boundaries of what agentic experiences can do for customers.
Key job responsibilities
Platform Vision & Strategy: Own the technical roadmap for Quick's memory, knowledge graph, and session infrastructure

Define "best-in-class" and relentlessly pursue it.
Research-Driven Innovation: Stay current with advances in memory systems, retrieval, and contextual reasoning. Prototype new approaches and translate research into shipped improvements.
Science Partnership: Partner with applied science to co-develop novel algorithms that push the boundaries of agent memory and knowledge retrieval.
User-Signal Obsession: Mine user feedback, telemetry, and behavioral data to identify gaps in recall, context quality, and session continuity. Turn signals into a prioritized backlog.
Team Leadership: Build and lead a high-performing engineering team with a culture of ownership, intellectual curiosity, and high operational standards.
Operational Excellence: Maintain memory, knowledge graph, and session services at the highest bar for reliability, latency, and scalability

Own on-call and incident response.
New Experiences: Ship new user-facing capabilities powered by the platform (e.g., richer personalization, proactive context surfacing) that help users achieve more with Quick.
Stakeholder Alignment: Work across Quick Engineering, product, design, and science to align priorities and drive coherent execution.
About the team
Amazon Quick is an AI-powered work companion that learns and adapts to each user through persistent memory, a personal knowledge graph, and contextual sessions. You'll own the foundational infrastructure behind that intelligence. We're a fast-moving team building technology that redefines how people work with AI every day

We value diverse experiences, inclusive culture, mentorship, and work-life harmony. If your career hasn't followed a traditional path, don't let it stop you from applying.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

View All Amazon Jobs

Apply