Staff AI Data Engineer — Build Data Products (Remote)

Work Truck Solutions; United States; Remote; USD 184,000 - 215,000; Full time

Benefits offered by this job

Remote work from anywhere in the U.S.

Professional development opportunities

Job summary

Work Truck Solutions is seeking a Staff AI Data Engineer to turn data into customer-facing products and actionable insights for dealers, upfitters, and OEMs. You will architect ingestion, transformation, and feature pipelines while applying AI/ML to structured data and unstructured descriptions.

You’ll apply LLMs and ML to extract, classify, enrich, and surface insights with rigorous evaluation. Collaboration across product, engineering, and commercial teams is essential.

Qualifications

• 8+ years applying data science to real problems, with a track record of models and analyses that shipped to users and changed outcomes.

Responsibilities

• Own customer-facing data products end to end: define the opportunity, build the model or analysis, ship it, measure whether it actually helped, and iterate.
• Build the intelligence layer of our platform—demand forecasting, pricing and market signal, inventory and configuration recommendations, matching and ranking—on problems where being right has direct commercial consequence for our customers.
• Partner with product and design on how model output surfaces to a dealer or upfitter, what happens when it’s wrong, and how much confidence to express.
• Work directly with customers and the commercial team to understand what decisions they’re actually trying to make, and let that shape what you build.
• Define and instrument success metrics for everything you ship; be the person who knows whether it worked.

Skills

Data science

Productization

Statistical modeling

Experimentation

Evaluation

SQL

Python

Forecasting

Education

Bachelor’s degree in a quantitative field

Tools

SQL

Python

BigQuery

Snowflake

Databricks

Job description

Work Truck Solutions is seeking a Staff AI Data Engineer to turn data into customer-facing products and actionable insights for dealers, upfitters, and OEMs. You will architect ingestion, transformation, and feature pipelines while applying AI/ML to structured data and unstructured descriptions.

You’ll apply LLMs and ML to extract, classify, enrich, and surface insights with rigorous evaluation. Collaboration across product, engineering, and commercial teams is essential.