AI-powered document extraction and OCR for enterprises
Pulse builds a production-grade platform using OCR, layout analysis, and vision-language models to extract structured data from complex unstructured documents like PDFs, spreadsheets, and images. It serves enterprise teams in finance, healthcare, insurance, legal, real estate, and supply chain, enabling reliable LLM-ready inputs at scale after processing over 1 billion pages. This unlocks workflows in regulated industries where accuracy and auditability are critical.
Solutions Engineer deploys and operates AI-powered document extraction services in customer Kubernetes environments, diagnosing issues, optimizing pipelines, and building Python tools while collaborating with customer and internal teams. Requires 2+ years production systems experience and strong infra skills.
Generates and qualifies high-value outbound leads for enterprise document intelligence platform, partnering with AEs to build pipeline. Requires 1+ year BDR/SDR experience, strong communication, and interest in ML/data infrastructure.
Owns full sales funnel from outbound prospecting to closing enterprise deals in data infrastructure software. Partners with engineers for technical validation; requires 2+ years technical B2B closing experience.
Builds React components, data visualizations, and UX for QA/analytics in document intelligence platform. Ships features from Figma to production, maintains design systems, runs user research. Requires 3+ years React/TypeScript experience.
Develops low-latency, high-throughput inference services for OCR and multimodal models, optimizing batching, kernels, and autoscaling while evaluating serving frameworks. Requires 3+ years in performance engineering or ML systems with strong Python and GPU experience.
Designs and operates secure multi-tenant platforms using Kubernetes and AWS, managing provisioning, monitoring, CI/CD with Terraform and GitHub Actions, and ensuring security/compliance. Requires 4+ years DevOps experience with strong fundamentals in listed technologies.
Develops and fine-tunes specialized vision and language models for document understanding, including OCR, layout, tables, and charts. Requires 3+ years ML experience with PyTorch/JAX and strong engineering focus; onsite in San Francisco.
Builds backend services in Python, frontend features in React/TypeScript, and improves extraction pipeline accuracy/latency. Requires 2+ years experience with Python/TypeScript/SQL; fullstack work across data infrastructure stack.
Deploys Pulse's document intelligence platform in customer VPC/on-prem environments, builds integrations with tools like S3/Snowflake/Kafka, owns reliability/security/monitoring. Requires 4+ years software/solutions engineering, Python/SQL/AWS/Kubernetes expertise.