Job Description
Job Description
We are looking for a Solutions Engineer with 3+ years of experience to bridge the gap between our cutting-edge document intelligence platform and the enterprise customers who depend on it. This is a highly technical, customer-facing role at a fast-growing YC-backed startup where you'll be the go-to technical expert in the sales process — working alongside AEs to drive deals forward and ensure customers succeed in production.
What will you be doing?
- Partner closely with Account Executives throughout the sales cycle, owning all technical discovery, demos, and evaluations
- Deploy and configure the company's extraction pipelines within customer environments, supporting pilots and production rollouts
- Diagnose and resolve accuracy, latency, and infrastructure issues across distributed systems for enterprise customers
- Build internal tools and customer-facing utilities in Python to support integrations and downstream workflows
- Collaborate with the company's ML, platform, and product teams to surface customer feedback and improve the platform
Key Requirements
- 3+ years in a pre-sales customer facing technical role (pre-sales Solutions Engineering, Forward Deployed Engineering, etc.) at a technical B2B company
- Strong familiarity with sales processes (e.g., MEDDIC, Command of the Message) — you understand how deals get done
- Hands-on experience with APIs, distributed systems, and production infrastructure (Kubernetes a strong plus)
- Proficiency in Python for tooling, automation, and backend integrations
- Must be customer-facing — pure software engineering backgrounds without client-facing experience will not be considered
Tech stack:
Python, Kubernetes, APIs, Distributed Systems, AWS, GCP, Azure, Docker, Helm, Terraform