Forward Deployed Engineer

We are looking for a Forward Deployed Engineer with 3–6 years of experience to sit at the intersection of deep engineering and customer impact — owning the technical deployment of Reducto's document AI platform with some of the world's most sophisticated enterprise customers. This is a founding FDE role at a 80-person, Series B company backed by a16z, Benchmark, and First Round Capital that's processing tens of millions of pages a month and growing revenue 8x YoY — you'll help shape what this function looks like from the ground up.

What will you be doing?

• Partner with AEs and SEs during pre-sales to run rigorous evals, build custom demo applications, and win competitive bake-offs against rival document AI solutions.
• Own post-sales technical success for 1–3 enterprise accounts — meeting weekly or bi-weekly with customers to unblock issues, deepen adoption, and unlock expansion into new use cases and teams.
• Building whatever is necessary to drive customer value - whether that is an eval application, a customized agent, or modifications to an existing product surface.
• 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.

Key Requirements

• 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.

Bonus points if you:

• 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.