Solutions Engineer
San Francisco, CA - USA
Job Summary
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 youll 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 companys 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 companys 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