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 role, such as Solutions Engineer, Sales Engineer, Technical Account Manager, Implementation Consultant, or a similar customer-facing technical position in a SaaS company.
Foundational understanding and hands-on experience with data concepts, including data warehousing (e.g., Snowflake, Databricks, Redshift, BigQuery), ETL/ELT processes, or 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.
Working knowledge of GenAI, scripting languages (e.g., SQL, Python), and API/MCP integrations desired.
Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Benefits

Work at the cutting edge of Generative AI and Enterprise Data.
High autonomy in a flat organization where your work directly impacts the product roadmap and overall company success.
Opportunity to work with a world-class engineering team from the most successful tech companies in the world.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data warehousingETLELTbusiness intelligenceSQLPythonAPI integrationsGenAIcloud data ecosystemAI/ML technologies

Soft Skills

problem-solvingcustomer-centric approachcommunicationpresentationinterpersonal skillscollaborationadaptabilitytechnical articulationeagerness to learnfast-paced environment

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Engineeringrelated technical field