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# Solutions Engineer

- **Company:** Reducto, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Bash Shell, Spreadsheets, Data Files, Software Debugging, Document Type Definition, Statistical Hypothesis Testing, Python (Programming Language), Systems Development Life Cycle, SimpleText, Data Streaming, Systems Architecture, Workflow Management Systems, Scripting, Document Metadata, Large Language Models, Kubernetes, Streamlit Framework, Web Api
- **Published:** November 9, 2026
- **Apply:** https://www.careerbuilder.com/job-details/solutions-engineer-san-francisco-ca--431b6f46-ed86-4607-a4a6-fbef10f7f980

## About the Role

Artificial Intelligence (AI), Financial Statements, Product Development, Documentation, Spreadsheets, Medical Records, Process Modeling, Revenue Growth, Team Lead/Manager, Sales Management, * You are your own worst critic. You have a high bar for quality and don't rest until the job is done right-no settling for 90%. We want someone who ships fast, with high agency, and who doesn't just voice problems but actively jumps in to fix them.

 * You have 3 to 6 years of experience working with enterprise or regulated customers.
 * You're excellent with Python and can navigate Bash and infrastructure as needed.
 * You're very comfortable with Kubernetes.
 * Tools: Build your own tools as needed-like a quick Streamlit app to test hypotheses or create a dataset.
 * Approach: A quantitative approach to building products. Ability to debug, experiment, and iterate fast. You should be comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users., * Have prior experience founding a company or building products at early stages
 * Are ambitious and driven, and care a lot about doing great work with great people
 * Keep up with the latest developments in ML/AI

## Description

* Work with our GTM team to demonstrate our product capabilities for their specific environments through demos and proof-of-concepts
 * Designing and advising on system architecture or data flow to best integrate the product
 * Writing scripts or coding to help customers better leverage the best of Reducto's products code (e.g., API calls, connectors, dashboards)
 * Collaborating closely with customers, support, and core engineers to identify high-impact improvements.
 * Acting as a feedback loop to the product and infra teams-surfacing usability gaps, unmet needs, and opportunities to deepen customer value.
 * Working directly with the founders and customers to shape the product direction and engineering strategy, PDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that's simply impractical for use in digital workflows. This isn't an inconvenience-it's a critical bottleneck that leads to dozens of wasted hours every week.

Traditional approaches fail at reliably extracting information in complex PDFs

OCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with.

Reducto breaks document layouts into subsections and then contextually parses each depending on the type of content. This is made possible by a combination of vision models, LLMs, and a suite of heuristics we built over time. Put simply, we can help you:

 * Accurately extract text and tables even with nonstandard layouts
 * Automatically convert graphs to tabular data and summarize images in documents
 * Extract important fields from complex forms with simple, natural language instructions
 * Build powerful retrieval pipelines using Reducto's document metadata
 * Intelligently chunk information using the document's layout data