Senior Sales Engineer, Vector Database

Actian

Sales Engineer role focusing on AI Databases at Actian, serving enterprise clients with advanced data solutions. Collaboration with sales teams and technical mentorship responsibilities included.

Posted 7/22/2026full-timeRound Rock • Texas • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI and Data Analytics, with a strong focus on SQL and vector databases such as Milvus and Qdrant. Proven ability to present complex technical concepts to diverse audiences and collaborate effectively with sales and product teams to drive customer success.

Highest-signal resume keywords

SQL AnalyticsMilvus Vector DatabaseQdrant Vector DatabaseRAG ArchitecturesData Warehouse Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ProcessingRelational Database TechnologyLarge-Scale AnalyticsVector AI DevelopmentEmbedding ModelsVector Search AlgorithmsMulti-Model DatabasesArchitecting SolutionsData Analytics Software Sales

Soft Skills

Presentation SkillsCustomer Relationship ManagementCollaborationProblem SolvingTechnical Guidance

Tools & Technologies

Google Cloud PlatformAmazon AWSMicrosoft AzurePowerBILookerTableau

Industry Keywords

AI DatabasesData AnalyticsPre-Sales SupportProof-of-Concept ProjectsEnterprise Customers

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformOracleSQLTableau

About the role

Key responsibilities & impact

Be a technical guide on all aspects of Actian – with a primary focus on AI and Data Analytics becoming the Subject Matter Expert (SME) Sales Engineer for AI Databases within Actian.
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

Requirements

What you’ll need

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 and track record of success selling data and/or 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 and understanding of 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.)

Benefits

Comp & perks

Health insurance
Flexible work arrangements