- 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
- 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.)
Core Competencies
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 Analytics
- Milvus Vector Database
- Qdrant Vector Database
- RAG Architectures
- Data Warehouse Expertise
ATS Optimization Keywords
Hard Skills
- SQL
- Data Processing
- Relational Database Technology
- Large-Scale Analytics
- Vector AI Development
- Embedding Models
- Vector Search Algorithms
- Multi-Model Databases
- Architecting Solutions
- Data Analytics Software Sales
Soft Skills
- Presentation Skills
- Customer Relationship Management
- Collaboration
- Problem Solving
- Technical Guidance
Industry Keywords
- AI Databases
- Data Analytics
- Pre-Sales Support
- Proof-of-Concept Projects
- Enterprise Customers
Tools & Technologies
- Google Cloud Platform
- Amazon AWS
- Microsoft Azure
- PowerBI
- Looker
- Tableau