1

Vector Databases Jobs in Redmond, WA (NOW HIRING)

Zilliz is a fast-growing startup developing the industry's leading vector database for enterprise-grade AI. Founded by the engineers behind Milvus, the world's most popular open-source vector ...

Zilliz is a fast-growing startup developing the industry's leading vector database for enterprise-grade AI. Founded by the engineers behind Milvus, the world's most popular open-source vector ...

Zilliz is a fast-growing startup developing the industry's leading vector database for enterprise-grade AI. Founded by the engineers behind Milvus, the world's most popular open-source vector ...

Staff Product Manager

Seattle, WA · On-site

$186K - $233K/yr

Lead development of next-generation data primitives - including vector databases, knowledge bases, MCP integrations, and open table formats like Apache Iceberg - to power RAG workflows and agentic ...

Software Development Manager III, S3 Vectors

Seattle, WA · On-site

$140K - $185K/yr

... vector databases. As an SDM on S3 Vectors, you will lead a team of engineers driving fast-paced green field development of foundational services related to this new offering. S3 Vectors: As an SDM in ...

Senior AI Software Engineer

Kent, WA · On-site

$154K - $231K/yr

Build and maintain RAG pipelines leveraging vector databases to enable intelligent search and retrieval * Develop comprehensive evaluation frameworks (evals) to measure, monitor, and improve AI ...

AI Enterprise Architect

Seattle, WA · On-site

$78.50 - $101.25/hr

... vector databases • Define and enforce AI governance frameworks, including Responsible AI, GuardRails, and compliance with AI Ethics & Regulations. • Supervise the design, fine-tuning, and ...

Software Engineer III

Bellevue, WA · On-site

$141K - $225K/yr

Understanding of LLM architectures, embeddings, and vector databases (e.g., Qdrant, Pinecone, Milvus, FAISS). * Demonstrated ability to drive cross-team technical initiatives and influence ...

Software Engineer III

Bellevue, WA · On-site +1

$136K - $225K/yr

Understanding of LLM architectures, embeddings, and vector databases (e.g., Qdrant, Pinecone, Milvus, FAISS). * Demonstrated ability to drive cross-team technical initiatives and influence ...

Senior AI Software Engineer

Kent, WA · On-site

$98.81 - $148.15/hr

Build and maintain RAG pipelines leveraging vector databases to enable intelligent search and retrieval * Develop comprehensive evaluation frameworks (evals) to measure, monitor, and improve AI ...

New

Senior AI Software Engineer

Kent, WA · On-site +1

$154K - $231K/yr

Build and maintain RAG pipelines leveraging vector databases to enable intelligent search and retrieval * Develop comprehensive evaluation frameworks (evals) to measure, monitor, and improve AI ...

Senior AI Software Engineer

Kent, WA · On-site

$98.81 - $148.15/hr

Build and maintain RAG pipelines leveraging vector databases to enable intelligent search and retrieval * Develop comprehensive evaluation frameworks (evals) to measure, monitor, and improve AI ...

New

You will play a central role in designing and developing how our products use ML technologies such as transformers, vector databases, etc. The ideal candidate should have at least 3 years of ...

Showing results 21-40

Vector Databases information

What are vector databases?

Vector databases are specialized databases designed to store, manage, and search high-dimensional vector data, which is commonly generated from machine learning models, such as embeddings from natural language processing or image recognition. They enable efficient similarity search operations, such as finding the most similar items to a given query vector, which is essential for applications like recommendation systems, semantic search, and AI-powered search engines. Unlike traditional databases that handle structured or unstructured data, vector databases are optimized for fast and scalable similarity searches on large datasets of vectors.

What are some common challenges faced when working with vector databases, and how can they be addressed?

Professionals working with vector databases often encounter challenges such as efficiently scaling to handle large datasets, ensuring low-latency similarity searches, and integrating the database with machine learning pipelines. To address these, teams typically implement distributed architectures, fine-tune indexing strategies, and collaborate closely with data engineers and machine learning specialists. Staying updated with the latest developments in vector database technologies and maintaining clear communication with cross-functional teams are also key to overcoming these challenges.

What is the difference between Vector Databases vs Data Engineers?

AspectVector DatabasesData Engineers
Required SkillsDatabase management, data modeling, query optimizationData pipeline development, ETL processes, programming
Work EnvironmentData storage systems, AI/ML projects, cloud platformsData infrastructure, cloud environments, big data tools
Industry UsageAI, machine learning, recommendation systemsData integration, analytics, data architecture

While Vector Databases focus on storing and querying high-dimensional vector data for AI applications, Data Engineers build and maintain data pipelines and infrastructure to support data analysis and machine learning workflows. Both roles are essential in data-driven industries but serve different functions within the data ecosystem.

What are the key skills and qualifications needed to thrive as a vector database engineer, and why are they important?

Success as a Vector Database Engineer requires a strong background in computer science, database management, and experience with machine learning or AI-driven data systems. Familiarity with vector database platforms (such as Pinecone, Milvus, or Weaviate), cloud infrastructure, and proficiency in languages like Python are typically expected. Strong problem-solving skills, effective communication, and the ability to work cross-functionally help engineers stand out. These competencies are vital to efficiently design, deploy, and maintain scalable vector search solutions that power modern AI applications.
What are popular job titles related to Vector Databases jobs in Redmond, WA? For Vector Databases jobs in Redmond, WA, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in Redmond, WA look for? The top searched job categories for Vector Databases jobs in Redmond, WA are:
What cities near Redmond, WA are hiring for Vector Databases jobs? Cities near Redmond, WA with the most Vector Databases job openings:
Infographic showing various Vector Databases job openings in Redmond, WA as of August 2026, with employment types broken down into 87% Full Time, 5% Part Time, 1% Temporary, and 7% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Enterprise Account Executive - Seattle

Zilliz

Seattle, WA • On-site, Remote

$100K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago


Job description

Zilliz is a fast-growing startup developing the industry's leading vector database for enterprise-grade AI. Founded by the engineers behind Milvus, the world's most popular open-source vector database, the company builds next-generation database technologies to help organizations quickly create AI applications. On a mission to democratize AI, Zilliz is committed to simplifying data management for AI applications and making vector databases accessible to every organization.
About the Role:
Zilliz is seeking a skilled and experienced Account Executive to assist with expanding our US sales efforts from the Seattle metro area. Our Sales Team at Zilliz is committed to promoting growth through innovative and strategic partnerships with our clients. We aim to assist businesses in thriving by providing solutions to the world's most challenging issues. As an Account Executive, you will inspire and guide customers on their data journey, resulting in more collaborative and productive organizations. Your role in the company is integral, as you can collaborate closely with business leaders to strategically develop your territory. With your passion for technology and determination to succeed, you will aid businesses in realizing their full potential through the strength of Zilliz.
What you will do
  • Proactively prospecting for new customers via email, social media, cold-calling and events
  • Collaborating with Marketing, Customer Success and SDRs to generate sales pipeline
  • Fielding inbound leads to qualify and create qualified opportunities
  • Using a solution selling approach to help customers identify, quantify and address their business problems with Zilliz' value proposition
  • Orchestrating and working with teams to provide the optimal customer experience
  • Leveraging the MEDDIC sales methodology to manage the sales process
  • Engaging existing customers to drive product adoption and identify new growth strategies
  • Successfully negotiating and closing complex enterprise sales deals
  • Evangelizing the value of Zilliz and key differentiators to help customers quantify the impact to business priorities
  • Consistently delivering an accurate ACV/TCV forecast
  • Being an awesome teammate that encourages and inspires the broader team to deliver results

What we are looking for
  • A self-starter attitude who truly enjoys working in a fast-paced, innovative startup environment
  • Innate ability to persevere and recover quickly from setbacks with a never give up attitude
  • A passion for open-source and AI/ML products
  • 5+ years of total sales experience in SaaS/PaaS or Big Data companies
  • You have previously worked in an early-stage company and know how to navigate within a fast-growing organization
  • Consistent track record of exceeding sales quotas
  • Prior customer relationships with CIOs and executive decision-makers
  • Experience selling $250K+ ACV deals to cloud/digital native companies and AI startups
  • Hunger to deliver exceptional results
  • Humility to be self-critical, seek out coaching and embrace a growth mindset
  • Demonstration of high EQ internally with teammates and externally with customers
  • Bachelor's Degree

Benefits
  • Competitive compensation (cash + equity)
  • Regular bonus and equity refresh opportunities
  • Medical, dental, and vision insurance
  • Paid time off, including vacation, sick leave, and global well-being days
  • Generous 401(k) and regional retirement plans

$100,000 - $175,000 a year
The range above reflects the base salary alone. On-Target-Earnings (OTE) is split 50/50 between base salary and commission.
#LI-AS1
Zilliz is an Equal Opportunity Employer and welcomes people from all backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment regardless of race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.