Sales Engineer — Data & AI for Retail (Equity Eligible)

Datavations; New York (NY); On-site; USD 110,000 - 130,000; Full time

Job summary

Datavations, a New York-based data and AI software company, seeks a Sales Engineer to partner with Account Executives throughout the sales cycle. You’ll validate our data against a prospect’s numbers, build analyses that show value, and present the findings to technical and executive audiences.

This hands-on role sits at the center of the sales process, requiring data fluency (SQL, spreadsheets, BI tools), strong communication, and collaboration with sales, customer success, and product teams

Qualifications

• 3+ years in technical pre-sales or solutions-consulting role.
• Strong quantitative and analytical skills: comfortable working with data and catching errors.
• Strong presentation and communication skills, with experience adapting technical material for diverse audiences.

Responsibilities

• Analysis & insight development: turn raw data into a structured analysis tied to business decisions.
• Deal scoping: define technical requirements and prepare pricing/proposal materials.
• Demo & presentation delivery: build and deliver product demonstrations to senior audiences.
• Data validation: compare data against the prospect’s data and explain methodology clearly.
• Cross-functional handoff: work with sales, customer success, and product for post-close handoff.
• Tools & data fluency: work with data tools (spreadsheets, SQL, BI tools, Claude) and learn new tools quickly.

Skills

Pre-sales experience

Data analysis

Presentation skills

Tools

SQL

BI tools

Spreadsheets

Claude

Job description

Datavations, a New York-based data and AI software company, seeks a Sales Engineer to partner with Account Executives throughout the sales cycle. You’ll validate our data against a prospect’s numbers, build analyses that show value, and present the findings to technical and executive audiences.

This hands-on role sits at the center of the sales process, requiring data fluency (SQL, spreadsheets, BI tools), strong communication, and collaboration with sales, customer success, and product teams