Solutions Specialist/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:

As a Solutions Specialist/Engineer, you will play a key technical role in supporting our sales efforts and internal data initiatives. You’ll help design and execute demo environments, assist in integrating and analyzing sales and engagement data, and collaborate across teams to bring clarity to complex, often ambiguous problems.

This is a role for someone who can thrive in fluid situations, enjoys learning and applying new technical skills quickly, and is motivated by turning high-level direction into real-world solutions. If you’re on a path toward Solutions Consulting, this is an ideal stepping stone.

Key Responsibilities:

🔍 Sales Support & Demo Development

• Build, configure, and maintain custom demo environments tailored to prospect needs
• Translate customer requirements into technical demo flows and product walkthroughs
• Support sales conversations by providing clear, technically grounded responses
• Create reusable demo content and scripts that scale with the sales team

📊 Data Integration & Analytics Enablement

• Aggregate and standardize lead and engagement data from systems like CRM or marketing tools
• Assist in defining and tracking key performance indicators related to customer acquisition and engagement
• Build dashboards and tooling to help internal teams analyze pipeline trends and behaviors
  
• Translate business objectives into data workflows, visualizations, and insights
  

🛠️ Technical Execution & Automation

• Write scripts in Python and/or JavaScript to automate data processing or demo prep
• Leverage REST APIs to retrieve and sync data across tools and platforms
• Support internal and external data model configuration aligned to customer use cases
• Work independently to resolve open-ended technical requests and deliver tangible outputs

🤝 Cross-Team Collaboration & Growth

• Partner with Sales, Product, and Engineering to ensure alignment on technical scope and delivery
• Document best practices, reusable components, and internal technical resources
• Proactively identify and fill knowledge gaps — demonstrating ownership and initiative

Progress toward a Solutions Consulting role by building your business context, communication skills, and technical credibility

 

Qualifications

• 2–5 years in a technical, sales engineering, or analytics role
• Proficient in Python and/or JavaScript for automation or data manipulation
• Experience working with REST APIs, data pipelines, and system integrations
• Familiarity with data modeling and concepts related to unstructured or semi-structured data
• Strong communication and collaboration skills with both technical and business teams
• Able to operate independently and effectively in ambiguous or evolving situations
  
• (Lominger Competency: Dealing with Ambiguity)
  
• Demonstrated ability to learn and apply new technical concepts quickly
  
• (Lominger Competency: Technical Learning)
  
• Eager to grow into a Solutions Consultant role with increasing customer-facing responsibility
  
  

Why This Role

• Shape how customers ex