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 https://www.runpulse.com/blog/pulse-approach-to-document-intelligence 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.
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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.
