Key skills
Solutions EngineeringSales EngineeringSolutions ArchitectureData warehousingSnowflakeDatabricksRedshiftBigQueryETLELTBusiness IntelligenceGenAISQLPythonAPI integrationsAIMLData WarehousingSaaSCommunicationCustomer SuccessSales
About this role
WisdomAI is revolutionizing how enterprises leverage their data, empowering businesses to unlock insights and drive innovation. They are seeking an enthusiastic Solutions Engineer to join their sales team, where the role involves collaborating with Account Executives to demonstrate the value of WisdomAI's platform and guide prospects through their evaluation journey.
Responsibilities:
- Collaborate with Account Executives to understand mid-market and small enterprise customer needs and technical environments
- Conduct compelling product demonstrations, showcasing WisdomAI's core capabilities and tailoring them to specific customer use cases
- Support technical discovery calls, helping to identify customer pain points and how WisdomAI's solutions can address them
- Assist in the preparation and delivery of Customer Workshops and Proof-of-Concepts (POCs), ensuring prospects experience the value of our platform
- Serve as a technical resource during the sales cycle, addressing questions on product functionality, integrations, and basic architecture
- Contribute to responses for RFIs/RFPs by providing accurate technical information
- Maintain clear and concise documentation of customer technical requirements and solution designs
- Work closely with Product, Engineering, and Customer Success teams to relay customer feedback and ensure smooth handoffs
- Continuously learn and develop expertise in WisdomAI's platform, the cloud data ecosystem, and relevant AI/ML technologies
Requirements:
- 2-5+ years of experience in a technical pre-sales role, such as Solutions Engineer, Sales Engineer, or Solutions Architect at a SaaS company
- Foundational understanding and hands-on experience with data concepts, including data warehousing (e.g., Snowflake, Databricks, Redshift, BigQuery), ETL/ELT processes, and business intelligence tools
- Ability to articulate technical concepts clearly and effectively to both technical and non-technical audiences
- Eagerness to learn new technologies, adapt to evolving product capabilities, and grow in a pre-sales environment
- Strong problem-solving skills and a customer-centric approach
- Excellent communication, presentation, and interpersonal skills
- Comfortable operating in a fast-paced, collaborative team environment
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
- Working knowledge of GenAI, scripting languages (e.g., SQL, Python), and API/MCP integrations desired