Solutions Engineer (Data Analytics)

TL;DR

Solutions Engineer (Data Analytics): Driving technical sales efforts and demonstrating product value for enterprise prospects with an accent on business intelligence, data modeling, and cloud-based analytics. Focus on conducting product evaluations, solving complex data challenges, and integrating AI workflows to streamline customer success and sales strategies.

Location: Must be based in the U.S.

Salary: $100k–$130k

Company

hirify.global is an AI-Powered Analytics platform on a mission to transform enterprise decision-making by making data insights as natural as a conversation.

What you will do

• Drive business value for prospects by demonstrating platform capabilities and unique differentiators.
• Understand customer analytical goals through deep discovery and strategic account planning.
• Conduct hands-on product evaluations using customer datasets to prove platform value.
• Present business-focused solutions to diverse audiences, from technical teams to executive leadership.
• Manage multiple customer engagements simultaneously in a fast-paced environment.
• Integrate AI tools and LLMs into daily workflows to enhance productivity and quality.

Requirements

• Must be based in the U.S.
• 3–5 years of experience in technical sales, data engineering, or business intelligence.
• Proficiency in SQL, with additional experience in JavaScript or Python.
• Deep understanding of data modeling concepts and database technologies like Snowflake, BigQuery, or Redshift.
• Practical experience with BI tools such as Tableau, Looker, or MicroStrategy.
• Strong presentation and consultative communication skills.
• Demonstrated AI literacy and ability to integrate AI into technical workflows.

Nice to have

• Experience in cloud computing architecture and benefits articulation.
• Previous background in data warehousing or advanced analytics roles.

Culture & Benefits

• Comprehensive medical, dental, and vision insurance.
• 401(k) retirement plan with company contributions.
• Equity participation and performance-based bonus structures.
• Culture focused on trust, innovation, and customer obsession.
• Supportive environment emphasizing continuous learning and AI-first workflows.