About the role

We are looking for a Solutions Engineer with 3+ years of experience to bridge the gap between Pulse's cutting-edge document intelligence platform and the enterprise customers who depend on it. This is a highly technical, customer-facing role at a fast-growing YC-backed startup where you'll be the go-to technical expert in the sales process — working alongside AEs to drive deals forward and ensure customers succeed in production.

What will you be doing?

Partner closely with Account Executives throughout the sales cycle, owning all technical discovery, demos, and evaluations
Deploy and configure Pulse's extraction pipelines within customer environments, supporting pilots and production rollouts
Diagnose and resolve accuracy, latency, and infrastructure issues across distributed systems for enterprise customers
Build internal tools and customer-facing utilities in Python to support integrations and downstream workflows
Collaborate with Pulse's ML, platform, and product teams to surface customer feedback and improve the platform

Key Requirements

3–4+ years in a pre-sales Solutions Engineering or Forward Deployed Engineering role at a technical B2B company
Strong familiarity with sales processes (e.g., MEDDIC, Command of the Message) — you understand how deals get done
Hands-on experience with APIs, distributed systems, and production infrastructure (Kubernetes a strong plus)
Proficiency in Python for tooling, automation, and backend integrations
Must be customer-facing — pure software engineering backgrounds without client-facing experience will not be considered

Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail.

We are a small, fast-growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We are backed by tier 1 investors and growing quickly.

What makes our tech special is our multi-stage architecture:

Layout understanding with specialized component detection models
Low-latency OCR models for targeted extraction
Advanced reading-order algorithms for complex structures
Proprietary table structure recognition and parsing
Fine-tuned vision-language models for charts, tables, and figures

If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence.

Solutions Engineer

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