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 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. 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.