Job Openings Solutions Engineer — Document Intelligence AI (Seed-stage)

About the job Solutions Engineer — Document Intelligence AI (Seed-stage)

Solutions Engineer

Snapshot: $125K–$155K base · $180K–$220K OTE + equity · San Francisco · Hybrid · No visa sponsorship · 3–7 yrs customer-facing technical roles

THE OPPORTUNITY

Our client is a seed-stage AI company (~20 people, founded 2025) building a document-intelligence platform that combines intelligent schema mapping with fine-tuned extraction models. As a Solutions Engineer, you'll bridge the platform and the enterprise customers who depend on it — owning technical discovery, demos, deployments, and troubleshooting.

WHAT YOU'LL DO

Partner with AEs across sales cycles, owning technical discovery, demos, and evaluations. Deploy and configure extraction pipelines in customer environments for pilots and production. Diagnose and resolve accuracy, latency, and infrastructure issues across distributed systems. Build Python-based internal tools and customer integrations. Collaborate with ML, platform, and product teams on customer feedback.

WHAT SUCCESS LOOKS LIKE

First 90 days: ramp on the platform and own technical evaluations alongside AEs. First year: run successful pilots-to-production deployments and establish repeatable SE practices.

MUST-HAVES

3–7 years in customer-facing technical roles (Solutions Engineer, Forward Deployed Engineer, or similar); 3–4+ years in pre-sales SE at technical B2B companies; hands-on with APIs, distributed systems, and production infrastructure; Python proficiency; sales-methodology familiarity (MEDDIC, Command of the Message). Must be customer-facing.

NICE-TO-HAVES

Kubernetes experience; ML/AI or data-infrastructure background.

COMPENSATION & BENEFITS

$125K–$155K base (USD), $180K–$220K OTE, competitive equity.

LOCATION & WORK MODEL

Hybrid in San Francisco.

HIRING PROCESS

Our team will walk you through the full interview process when we connect.

ABOUT THIS SEARCH

This is a confidential search managed by our recruiting team on behalf of our client. We've kept the company name off the posting — apply and we'll share full details and introduce you directly. We're an equal-opportunity partner and welcome applicants of all backgrounds; compensation reflects the role's posted range.