Sales Engineer: Agentic Analytics & AI Data Stack

Cube Dev; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

A data analytics company in San Francisco is seeking a Sales Engineer to enhance customer relationships and drive technical solutions. Candidates should have over 5 years of experience in a similar role, showcasing deep proficiency in the modern data stack and proven success in SaaS environments. The ideal applicant will excel in communication with diverse stakeholders and have the ability to translate complex data challenges into innovative solutions. Familiarity with AI infrastructure and a background in analytics will be advantageous.

Qualifications

• 5+ years of experience in a technical customer-facing role.
• Proven track record supporting SaaS sales cycles with complex products.
• Fluency in cloud data warehouses and BI platforms.
• Strong understanding of data modeling concepts.

Responsibilities

• Become a subject-matter expert on data modeling and performance tuning.
• Partner with Account Executives for demos and technical engagements.
• Own the technical customer relationship and gather requirements.
• Capture and document customer feedback to influence product roadmap.

Skills

Sales Engineering

Solutions Consulting

Technical Customer Engagement

Deep fluency in modern data stack

Strong SQL skills

Exceptional communication

Tools

Snowflake

Redshift

BigQuery

Node.js

Python

LookML

Job description

A data analytics company in San Francisco is seeking a Sales Engineer to enhance customer relationships and drive technical solutions. Candidates should have over 5 years of experience in a similar role, showcasing deep proficiency in the modern data stack and proven success in SaaS environments. The ideal applicant will excel in communication with diverse stakeholders and have the ability to translate complex data challenges into innovative solutions. Familiarity with AI infrastructure and a background in analytics will be advantageous.