Confirmed on the employer's own hiring board on Nov 14, 2026. First seen by Alion on Nov 13, 2026.
Our client is a small, fast-growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies.Company is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail.
Role Objective
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.
Responsibilities
- Partner closely with Account Executives throughout the sales cycle, owning all technical discovery, demos, and evaluations
- Deploy and configure 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 ML, platform, and product teams to surface customer feedback and improve the platform
- 3+ years in a 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
- Work Format: Full-time, on-site, based in San Francisco, CA.
- Salary: competitive.
- Equity: Competitive equity.
- Visa Sponsorship: available.
- Team: Small, fast-growing team of engineers backed by tier 1 investors, working with Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies.

