About the role
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 47-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.
- Build whatever is needed to drive customer value: eval harnesses, prototype apps, diagnostic dashboards, or custom integrations on top of Reducto's APIs.
- Embed directly with enterprise engineering teams to deploy new Reducto applications for customers who lack their own dev resources.
- Feed insights from the field back to the product and engineering teams to influence core product direction.
Key Requirements
- Strong Python proficiency — you must be able to write and ship production-quality code independently, not just configure tools.
- AI/LLM fluency — deeply familiar with LLM/ML concepts and actively uses AI coding tools (e.g. Claude, Codex); candidates who only use Copilot without deeper understanding are a red flag.
- Experience at a recognizable, high-growth startup shipping software in production with enterprise customers — pure Big Tech backgrounds without startup exposure are a poor fit.
- Comfortable on customer calls — doesn't need to drive every conversation, but must be able to hold their own in a technical discussion without being an embarrassment.
