Vector Database Senior Sales Engineer

What You Will Be Doing:

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

What You Bring to Actian:

· 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.)