Solutions Engineer

About Shelf:

There is no AI Strategy without a Data Strategy. Getting GenAI to work is mission critical for most companies but 90% of AI projects haven't deployed. Why? Poor data quality - it is the #1 obstacle companies have in getting GenAI projects into production.

We've helped some of the best brands like Amazon, Mayo Clinic, AmFam, and Nespresso solve their data issues and deploy their AI strategy with Day 1 ROI.

Simply put, Shelf unlocks AI readiness. We provide the core infrastructure that enables GenAI to be deployed at scale. We help companies deliver more accurate GenAI answers by eliminating bad data in documents and files before they go into an LLM and create bad answers.

Shelf is partnered with
Microsoft, Salesforce, Snowflake, Databricks, OpenAI, and other big tech players who are bringing GenAI to the enterprise.

Our mission
is to empower humanity with better answers everywhere.

Job Description:

The Solutions Engineer will serve as a forward-deployed technical expert, independently leading proof-of-value engagements with enterprise prospects. This role combines deep technical expertise in data modeling and ontology design with hands-on implementation skills to deliver rapid-cycle pilots that demonstrate Shelf's value and convert to closed deals.

This is a unique opportunity to work at the cutting edge of AI and data quality, designing custom data models and configuring reasoning agents to solve complex enterprise challenges. You'll operate with significant autonomy, embedded with prospects during 3-5 day pilots, iterating quickly to prove measurable value. Your ability to understand customer data architectures, design semantic models, and deliver technical solutions will be crucial to our sales success.

Reporting to the Field CTO, you'll partner with