Forward Deployed Engineer

Overview

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.

What we are looking for

5 days in-office at our San Francisco office

Eager to learn and adapt quickly

Prior startup or founding experience is a plus

About the Role

Work directly with strategic customers to deploy Pulse in secure environments and integrate with their systems. Define success criteria, design architectures, and take solutions into production.

Responsibilities

Lead discovery, architecture, and implementation for VPC and on-prem rollouts

Build integrations with S3, Snowflake, Kafka, Databricks, and internal tools

Own performance, reliability, and security for single-tenant environments

Set up monitoring, alerting, and runbooks

Write documentation and train customer teams

Track usage, SLAs, and accuracy, and drive expansion

Requirements

4+ years in software, solutions, or platform engineering

Strong Python, APIs, SQL, and AWS

Experience with containers, Kubernetes, Terraform, and observability

Comfortable with networks, IAM, SSO, and enterprise security reviews

Clear communication; some travel as needed

Nice to have

Deployments in regulated environments

Data pipeline experience

• Sponsorship
• Sponsorship available.

• Compensation and benefits
• Competitive base salary plus equity, performance-based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage.