Solutions Engineer

About the role

As a , you will own the end-to-end demonstration of Reducto's agentic document platform for demanding enterprise customers from our San Francisco office. You will serve as the primary technical liaison between sales, engineering, and customer success, translating complex document workflows into concrete, quantifiable product value for AI teams operating at scale. You will rigorously stress test the platform to ensure it meets enterprise performance standards before deployment. Additionally, you will build reusable artifacts that accelerate future sales cycles and shape the long-term roadmap for the solutions organization.

What you'll do

• Demonstrate Reducto's document intelligence platform live in customer environments through tailored proof-of-concept sessions.
• Architect data flows that connect Reducto to enterprise document repositories, ensuring robust and scalable integrations.
• Write production-grade scripts using Python to prototype new capabilities and validate hypotheses for enterprise users.
• Leverage Bash and infrastructure-as-code tools to debug deployment issues and streamline environment configuration.
• Operate confidently inside Kubernetes clusters to diagnose problems and verify performance in containerized deployments.
• Collaborate with support and core engineering teams to triage and resolve high-priority customer issues efficiently.
• Translate ambiguous customer requirements into precise technical specifications that guide product development.
• Provide actionable feedback to product and infrastructure teams based on direct engagement with enterprise workflows.
• Champion the adoption of Reducto by building dashboards and lightweight tools that showcase tangible value to stakeholders.
• Partner with founders to refine go-to-market narratives and align product direction with real-world customer needs.
• Continuously scan the ML and AI document processing landscape to identify competitive threats and differentiation opportunities.
• Mentor junior team members on best practices for debugging, experimentation, and fast iteration in production.
• Own metrics related to demo success, time to value, and customer satisfaction for the solutions team.
• Maintain a sharp quantitative lens by measuring the impact of document transformations on downstream AI pipelines.

Requirements

• You have 3 to 6 years of experience working with enterprise or regulated customers in technical roles.
• You possess a high bar for quality and refuse to ship work that does not meet your rigorous standards.
• You are very comfortable working with Python and can navigate Bash and infrastructure-related tasks as needed.
• You are extremely comfortable with Kubernetes and can troubleshoot issues inside clusters effectively.
• You have the ability to build your own tools quickly, such as Streamlit apps, to test hypotheses or create datasets.
• You approach problems with a quantitative mindset and are skilled at debugging, experimenting, and iterating rapidly.
• You are comfortable managing the full development lifecycle from initial ideation through deployment and user feedback.
• You are willing to travel occasionally for customer visits and to be present in the San Francisco office.

About Reducto

Nearly 80% of enterprise data is in unstructured formats like PDFs. 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 https://www.reducto.ai/blog/the-real-cost-of-manual-document-processing.

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.

Benefits at Reducto

At Reducto, we're invested in the well-being and growth of our team. Here's what we currently offer:

• Unlimited PTO: We believe great work requires recharging.
• Lunch: Receive a free lunch to eat with your teammates daily at the office
• Reimbursed Transportation: Provide us with your receipts and we'll reimburse you.

Nice to have

• Prior experience founding a company or building products during early-stage company growth.
• A strong interest in keeping up with the latest developments in machine learning and artificial intelligence.

Practical notes

This is an in-person role based at our office in San Francisco. The role requires hard work and fast execution, and it is essential that you thrive in this environment. Please only apply if this level of intensity excites you.