Senior Vector AI Sales Engineer

Actian-Corporation; Round Rock (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Actian Corporation seeks a Subject Matter Expert (SME) Sales Engineer with deep expertise in Vector AI databases to lead technical engagements and accelerate enterprise deals. You will mentor the sales engineering team, architect complex solutions, and demonstrate Actian's vector-first capabilities in competitive contexts.

In this role, you will collaborate across product, engineering, and marketing, translate customer AI/ML challenges into scalable data architectures, and support proofs of

Qualifications

• Minimum 5 years of experience working with customers in a pre-sales or post-sales technical role.
• Bachelor’s, or higher, in computer science, engineering, mathematics or related fields, or equivalent experience
• Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Strong skills in databases, data warehouses, and data processing
• Extensive hands-on expertise with SQL and SQL analytics
• Experience selling data/analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events
• Experience with relational and large-scale analytics database technology (e.g. Oracle, Informix, SQL Server, Snowflake, Netezza, Teradata, etc.)
• MUST HAVE: Hands-on production experience with Milvus and/or Qdrant vector databases
• Demonstrated expertise in RAG (Retrieval Augmented Generation) architectures and LangChain integration
• Deep knowledge of Vector AI development landscape, including embedding models, vector search algorithms, and modern AI/ML infrastructure patterns
• Solid background with multi-model databases and proven experience architecting solutions that seamlessly blend vector, relational, and analytical workloads
• Experience with large-scale infrastructure-as-a-service platforms (e.g. Google Cloud Platform, Amazon AWS, Microsoft Azure)
• Familiarity and experience with common BI and data exploration tools (e.g. PowerBI, Looker, Tableau, etc.)

Responsibilities

• Collaborate with the Sales team to find and close new business opportunities
• Provide strategic pre-sales support for sales activities including needs analysis, technology review, requirements definition, and scoping
• Create and deliver world-class product presentations and demonstrations to meet prospect, customer, or internal needs
• Work with customers on proof-of-concept projects in a competitive environment
• Maintain deep understanding of competitive and complementary technologies and vendors and how to position Actian in relation to them
• Provide guidance on how to resolve customer-specific technical challenges
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Actian’s products and marketing.
• Become an expert in our products’ features, benefits, presentations, and application to customer needs
• Provide proactive support to customers and prospects with the goal of facilitating sales
• Establish and maintain positive customer relationships, and follow-up on opportunities
• Be the customer advocate and liaison for product management and development
• Other related duties as assigned

Skills

Pre-sales experience

Relational databases

SQL

Vector databases

Enterprise sales

RAG architectures

LangChain

Cloud platforms

BI tools experience

Education

Bachelor's degree in CS/Engineering/Math

Tools

Milvus

Qdrant

PowerBI

Looker

Tableau

LangChain

SQL

Google Cloud Platform

AWS

Azure

Job description

Actian Corporation seeks a Subject Matter Expert (SME) Sales Engineer with deep expertise in Vector AI databases to lead technical engagements and accelerate enterprise deals. You will mentor the sales engineering team, architect complex solutions, and demonstrate Actian's vector-first capabilities in competitive contexts.

In this role, you will collaborate across product, engineering, and marketing, translate customer AI/ML challenges into scalable data architectures, and support proofs of