Sales Engineer/Solution Architect (Contract)
About the role
About Us
Co-founded in 2023 by Joe Laws and Adam Verstandig, Trase Systems is AI, Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise. Our platform specializes in bridging the “last mile” of AI adoption, unlocking AI's full potential while driving efficiency and significant cost savings. Trase is at the forefront of AI Agent innovation, topping the Hugging Face GAIA Leaderboard for Generalized AI Assistants, ahead of industry giants such as Google, Meta, Microsoft, and OpenAI. We are leveraging our cutting-edge technologies to develop mission-critical agentic applications in complex industries such as Healthcare, Oil & Gas, and National Security.
About the Role:
Trase is looking for a customer-facing Sales Engineer/Solution Architect who can partner with Sales to translate customer needs into clear product use cases, design technical solutions, and build rapid demos that help customers understand what’s possible. This role blends technical solutioning, product thinking, and polished customer communication. You'll be a key bridge between prospects/customers, Sales, Product, and Engineering.
What you'll do:
- Partner with Sales on discovery calls, technical deep-dives, and evaluations; clarify requirements and success criteria.
- Translate customer problems into product use cases, solution approaches, and scoped implementation plans.
- Explain Trase’s platform and agent capabilities to technical and non-technical stakeholders.
- Build rapid demo mock-ups and proof-of-concepts (including lightweight “cloud code”/scripted demos) to validate workflows and accelerate deals.
- Own and evolve demo assets: reusable scenarios, sample data, reference architectures, and competitive positioning.
- Write clear artifacts: requirements summaries, solution proposals, architecture diagrams, and handoff docs for delivery teams.
- Partner with Product on feedback loops: surface recurring needs, prioritize gaps, and propose roadmap opportunities grounded in customer signal.
- Support delivery handoff: ensure Engineering has the context needed to implement what was sold (and that commitments match reality).
What we’re looking for:
Core capabilities
- Experience