Solutions Engineer (Central Region)

present of AI; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Braintrust is seeking a technically adept sales-focused professional to translate customer problems into AI product demonstrations and credible architecture reviews. You will work with engineers and product managers to tailor the product narrative for technical buyers, and you will write and record enablement materials to shorten sales cycles.

You will build hands-on credibility through demos, prompts, and evaluation exercises, showing how AI agents behave and improve in production contexts.

Qualifications

• Experience translating customer problems into product solutions.
• Ability to read technical contexts and present to engineers and product managers.
• Clear written and verbal communication for enablement content.

Responsibilities

• Collaborate with sales to convey technical value to customers.
• Map customers’ problems to AI product capabilities.
• Prepare and deliver demos, architecture reviews, and credible technical briefs.
• Write and record enablement material to accelerate customer adoption.
• Present to technical buyers and build trust with engineering teams.

Skills

Typescript

Python

Technical presentations

Communication

Tools

GPT prompts

Job description

This role pairs with a sales team to carry the technical side of deals, talking with engineers and product managers at companies of many sizes. A strong candidate can take a customer's specific problem and map it to the product, and is comfortable presenting and building credibility with technical buyers. It also calls for writing and recording enablement material, so clear communication matters as much as hands on skill.

How it fits the AI era

The product sits on AI agents running in production, so the work is about helping customers see how those agents behave and improve them. Much of the routine explaining and demo prep can be sped up with AI tools, but reading a customer's real problem and earning trust with their engineers stays human. The role rewards people who can reason about agent behavior and evaluation, not just recite features.

How it builds AI experience

Working here means daily contact with agent traces, observability data, and evals, which builds practical understanding of how AI systems fail and improve. Candidates can prepare by building small apps with GPT models, writing prompts, and running their own evaluations to see where results drift. Showing that hands on tinkering alongside Typescript and Python work is the clearest way to demonstrate readiness.

Worth showing

• Typescript and Python
• Prompt and GPT tinkering
• Mapping problems to solutions
• Technical presentations

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Braintrust

Braintrust is a platform for observing, evaluating, and discovering patterns in AI agents running in production, per the company.