Solutions Engineer

Stelloagents; Northern (KY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Stello is an AI transformation firm that builds AI agents to automate operational workflows for mid-market and enterprise clients. We work with teams across sports, insurance, and financial services to show tangible improvements.

As a Solutions Engineer, you sit between engineering and sales, learn the prospect's workflow, build a working PoC with real data using Claude Code and Cursor, and teach their team how the system will operate in production.

Qualifications

• 3+ years shipping production software from start to finish.
• Experience with AI coding tools and current AI landscape.
• Ability to turn complex problems into scalable systems.
• Ability to teach technical ideas to non-technical audiences.
• Experience managing multiple prospects and projects.
• Bonus: open source, side projects, talks, or writing about applied AI.

Responsibilities

• Join discovery calls and map the prospect's workflow, systems, and data.
• Build demos and proofs of concept with real data using AI coding agents.
• Design reliable, auditable agents with a human-in-the-loop when it matters.
• Write the technical scope for each deal so the delivery team can start without a gap.
• Explain AI capabilities to non-technical stakeholders.
• Lead workshops to move client teams from watching AI to using it.
• Test new models and tools and form informed opinions.
• Bring learnings from prospects back to product and engineering.

Skills

Production software

AI coding tools

System design

Technical communication

Project management

Tools

Claude Code

Cursor

Job description

About Stello

Stello is an AI transformation firm. We build AI agents that take over operational workflows for mid-market and enterprise companies. Our clients range from professional sports teams to public insurers and financial services firms. Some of them trade on the NASDAQ and NYSE.

The role

As a Solutions Engineer, you sit between engineering and the people we sell to. You learn the workflow behind a prospect's problem, build a working proof of what an agent can do with it, and teach their team how it works.

You work with our Account Executives, who own the relationship and the deal. You own the technical story: what we will build, how it connects to their systems, and why it will hold up in production.

What you will do

Build

• Join discovery calls, and map the prospect's workflow, systems, and data.

• Get into unfamiliar codebases and tech stacks quickly.

• Build demos and proofs of concept with real or realistic data, using coding agents such as Claude Code and Cursor.

• Design agents that are reliable, auditable, and keep a person in the loop where it matters.

• Write the technical scope for each deal, so the delivery team can start without a gap.

Explain and teach

• Answer technical, security, and integration questions from the prospect's IT team.

• Explain what AI can do in plain words to people who are not technical.

• Lead workshops that take a client team from watching AI to using it in their own work.

• Test new models and tools as they come out, and have an informed opinion about them.

• Bring what you learn from prospects back to product and engineering.

Examples of the work

• In one week, build a working agent that triages a prospect's support tickets, and show it to their leadership.

• Lead a call with a prospect's IT team about data access, and complete their security review.

• Turn a discovery call into a scope document with integrations, milestones, and success metrics.

What we look for

• 3+ years shipping production software from start to finish, as a solutions, sales, forward deployed, or software engineer.

• You use AI coding tools every day, and you know the current AI landscape well.

• You can turn a complex problem into a system that scales.

• You can teach technical ideas to people who are not technical.

• You can manage several prospects and projects at the same time without dropping quality.

• Bonus: public work such as open source, side projects, talks, or writing about applied AI.

How we work

This is a full-time remote role, open to candidates who are authorized to work in the United States. You report directly to the founders. You may travel to client sites when a project calls for it.

We are a small team. We review each other's work, share what we learn, and help when a teammate is stuck. People who deliver get more scope quickly.