What You Will Be Doing:
- Be a technical guide on all aspects of 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.
- Researching companies and prospects to identify business issues and needs, and providing results of that research to customers to support our recommendations
- 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
What You Bring To Actian:
- Minimum 5-10 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
- Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
- Strong skills in integration, 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
- Extensive knowledge of and experience with relational and large-scale analytics database technology (e.g. Oracle, SQL Server, Snowflake, Netezza, Teradata, etc.)
- Software development experience with C/C++ or Scripting experience with Python, Ruby, Perl, Bash.
- Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase)
- Familiarity and experience with common BI and data exploration tools (e.g. PowerBI, Looker, Tableau, etc.)
- Experience with connectivity technology, ODBC, Spark, JSON, etc.
- Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Google Cloud Platform, Amazon AWS, Microsoft Azure)
- Experience implementing ETL pipelines using custom and packaged tools
- Experience using GCP, AWS and/or Azure Services
- Experience supporting enterprise SaaS software
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