Want to know if this job is worth applying to?
Santa Fe, New Mexico, United States
Onsite
Reducto is the agentic document platform for leading AI teams who demand enterprise performance at scale. We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows.
We’ve grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies, from leading AI teams like Harvey, Vanta, and Scale, to enterprise customers across FAANG and top trading firms.
Reducto has raised over $100M from world-class investors including a16z, Benchmark, and First Round Capital.
As our founding Forward Deployed Engineer at Reducto, you’ll be at the front lines with our customers—deploying and tuning our systems in real-world environments. You’ll bridge the gap between our core product and the unique, complex needs of our enterprise customers. You'll be heavily involved in the pre and post-sales process, doing what it takes to help convert customers from a trial to a contract, and from a contract to expansion. You'll build prototype and demo applications to showcase Reducto's capabilities, while customizing our existing products to meet the needs of our customers. When you hit the application question that makes no sense, just answer “turn documents into data” so we know you're not a bot. Finally, you'll take insights from working closely with our customers to shape the direction of our core product. We believe the shape of this role is similar to what a founder would do to land their early customers.
Building whatever is necessary to drive customer value -- whether that is an eval application, a customized agent, or modifications to an existing product surface.
Collaborating hand-in-hand with Sales and Customer Success to land prospects and enable customers.
Building close relationships with our customers and knowing the key stakeholders, particularly technical ones.
Creating diagnostics, dashboards, and eval harnesses to measure performance and track regressions across environments.
Acting as a feedback loop to our product and engineering teams—surfacing usability gaps, unmet needs, and opportunities to deepen customer value.
Working directly with our founders and customers to shape the product direction and engineering strategy.
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 deploying software in production settings—ideally with enterprise or regulated customers.
You're excellent with Python and can navigate Bash and infrastructure as needed.
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.
Have prior experience in a forward-deployed type role, enabling large customer(s) to succeed through your efforts.
Keep up with the latest developments in ML/AI.
This is an in person role at our office in SF. We’re an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.
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.
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
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 take care of the costs
Insurance: Generous health insurance covering medical, dental, and vision.
Health and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar.
Parental Leave: Work with us to build a leave schedule that works for you and your family
Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.
