TITLE: Solutions Engineer

LOCATION: San Francisco, CA           On-Site

COMPENSATION RANGE :  $120,000.00 - $150,000.00   DOQ

DEGREE REQUIREMENTS: Bachelor’s degree Computer Science

EXPERIENCE LEVEL: 3 – 7 years’ experience

POSITION SUMMARY:

We are 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.

This is a customer-​facing technical role (Solutions Engineer,​ Forward Deployed Engineer,​ or similar),​ deploying and operating production infrastructure systems. Experience at an early-​stage startup (Seed–Series B)

Background in data infrastructure,​ ML platforms,​ or document processing systems (e.​g.​,​ Snowflake,​ data pipeline tooling)

What will you be doing?

• 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 our ML, platform, and product teams to surface customer feedback and improve the platform

·         We are a 33-person team - means you're not a cog in a machine. You’ll have direct access to founders and outsized impact on how the product gets deployed at scale. Competitive base salary  plus equity, performance bonus, full medical/vision/dental, daily meal stipend, and relocation assistance for Bay Area moves.

Skills:

Python, Kubernetes, APIs, Distributed Systems, AWS, GCP, Azure, Docker, Helm, Terraform