Forward Deployed Engineer

Company Overview

This early-stage AI technology company develops an intelligent document processing platform for enterprise customers and AI development teams. Its technology combines vision models, large language models, and specialized processing techniques to extract and interpret information from complex documents, including PDFs, tables, charts, financial statements, invoices, insurance claims, and healthcare records. The platform helps organizations automate document-heavy workflows, improve data extraction accuracy, and build more effective information retrieval systems.

Responsibilities

Build and Deploy Customer Solutions

• Develop the tools and applications needed to deliver customer value, including evaluation applications, customized AI agents, prototypes, and modifications to existing product features.
• Deploy and optimize AI-powered document processing systems within customer environments.
• Build demonstration applications that showcase platform capabilities and address specific enterprise use cases.
• Customize existing products to meet customer requirements and help move solutions from initial evaluation into production.
• Work across the development lifecycle, from identifying problems and testing ideas to shipping and supporting solutions.

Support Customer Acquisition and Success

• Collaborate closely with Sales and Customer Success teams to support technical evaluations, convert prospects into customers, and enable existing customers to expand their use of the platform.
• Establish strong relationships with customer stakeholders, particularly technical decision-makers and engineering teams.
• Understand customer workflows, technical environments, and business requirements to deliver effective implementations.
• Serve as a hands-on technical partner throughout pre-sales and post-sales engagements.

Build Evaluation and Diagnostic Tools

• Create diagnostics, dashboards, and evaluation frameworks to measure system performance across different customer environments.
• Develop evaluation harnesses that identify regressions and track improvements in document processing quality.
• Use quantitative experimentation and systematic debugging to identify issues and improve solution reliability.
• Build lightweight tools, including rapid prototypes and Streamlit applications, to test hypotheses and explore datasets.

Drive Product and Engineering Improvements

• Gather customer feedback and identify usability gaps, unmet requirements, and opportunities to improve product capabilities.
• Communicate findings to product and engineering teams to influence priorities and technical decisions.
• Work directly with company leadership and customers to help define product direction and engineering strategy.
• Identify opportunities to develop reusable solutions that address recurring customer needs.
• Take ownership of customer problems and move quickly to deliver high-quality solutions.

Qualifications

• 3–6 years of experience deploying software in production environments, ideally for enterprise or regulated customers.
• Strong programming skills in Python.
• Ability to work with Bash and navigate infrastructure-related tasks as needed.
• Experience building, testing, debugging, and deploying software across the development lifecycle.
• A quantitative, experimentation-driven approach to product development and problem-solving.
• Ability to rapidly prototype applications and build custom tools to validate ideas and solve customer problems.
• Strong ownership, initiative, and attention to quality, with the ability to move quickly without compromising implementation standards.
• Ability to identify problems independently and take practical steps to resolve them.
• Comfort working directly with customers and collaborating with technical and non-technical stakeholders.
• Willingness to work in person at the company’s San Francisco office.

Preferred Qualifications

• Experience founding a company or building products at an early-stage startup.
• Previous experience in a forward-deployed engineering role, particularly helping large enterprise customers adopt and succeed with technical products.
• Familiarity with recent developments in machine learning and artificial intelligence.
• Experience working with AI applications, document processing, or evaluation systems.

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