About the job
At Pulse, we are revolutionizing data infrastructure by addressing the critical challenge of extracting precise, structured data from intricate documents on a large scale. Our innovative approach to document understanding melds intelligent schema mapping with finely-tuned extraction models, effectively conquering the limitations faced by traditional OCR and parsing tools.
We are a dynamic and rapidly expanding team of engineers located in San Francisco, serving Fortune 100 companies, Y Combinator startups, public investment firms, and fast-growing enterprises. Our growth is fueled by top-tier investors and a commitment to excellence.
What sets our technology apart is our sophisticated multi-stage architecture:
Expert layout comprehension with specialized component detection models
Low-latency OCR models designed for targeted data extraction
Advanced algorithms for reading-order in complex document structures
Proprietary recognition and parsing of table structures
Fine-tuned vision-language models for interpreting charts, tables, and figures
If you are enthusiastic about the convergence of computer vision, natural language processing, and data infrastructure, your contributions at Pulse will profoundly influence our clients and help shape the future of document intelligence.
What We're Seeking
Availability for in-office work 5 days a week at our San Francisco location
A strong desire to learn and adapt swiftly
Previous experience in a startup or founding role is advantageous
Role Overview
As a Solutions Engineer at Pulse, you will bridge the gap between customer deployments and our core engineering capabilities. Your role will involve designing, deploying, and managing Pulse within live production environments, frequently integrated within customer infrastructures, with a strong emphasis on reliability, performance, and precision.
This hands-on and technical position requires collaboration with customer engineering teams and engagement with Pulse’s platform, ML, and product teams to guarantee successful deployments and continuous enhancements.
Key Responsibilities
Deploy, manage, and troubleshoot Pulse services in Kubernetes-based environments
Collaborate directly with customer engineering teams to ensure optimal implementation

