JOBSEARCHER

Forward Deployed Engineer

ARCHIVED

We can't find an active application page for this role right now. It may reopen or be listed elsewhere. Use Next Steps to search for an active apply link and similar live jobs.

OverviewPulse 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 modelsLow‐latency OCR models for targeted extractionAdvanced reading‐order algorithms for complex structuresProprietary table structure recognition and parsingFine‐tuned vision‐language models for charts, tables, and figuresIf 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 for5 days in‐office at our San Francisco officeEager to learn and adapt quicklyPrior startup or founding experience is a plusAbout the RoleWork 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.ResponsibilitiesLead discovery, architecture, and implementation for VPC and on‐prem rolloutsBuild integrations with S3, Snowflake, Kafka, Databricks, and internal toolsOwn performance, reliability, and security for single‐tenant environmentsSet up monitoring, alerting, and runbooksWrite documentation and train customer teamsTrack usage, SLAs, and accuracy, and drive expansionRequirements4+ years in software, solutions, or platform engineeringStrong Python, APIs, SQL, and AWSExperience with containers, Kubernetes, Terraform, and observabilityComfortable with networks, IAM, SSO, and enterprise security reviewsClear communication; some travel as neededNice to haveDeployments in regulated environmentsData pipeline experienceSponsorshipSponsorship available.Compensation and benefitsCompetitive base salary plus equity, performance‐based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage.#J-18808-Ljbffr