Software Engineer
Forward Deployed Engineer | PulseAbout PulsePulse is an AI infrastructure startup building enterprise document intelligence systems for Fortune 100 companies across finance, healthcare, and insurance. Founded by former engineers from Tesla and NVIDIA, the company focuses on extracting structured data from highly complex enterprise documents at massive scale.RoleForward Deployed Engineer📍 San Francisco, CA🏢 Onsite 5 days/week💰 Up to $220K base + competitive equity✈️ ~15% customer travel🛂 Visa sponsorship availableWhat You’ll Do1. Lead enterprise customer deployments across secure cloud, VPC, and on-prem environments2. Build integrations with platforms including Snowflake, Kafka, Databricks, S3, and internal enterprise tooling3. Own reliability, monitoring, security, and performance for enterprise-grade deployments4. Work directly with Fortune 100 customers and technical stakeholders5. Write technical documentation, deployment guides, and operational runbooks6. Drive customer expansion by improving system performance, SLAs, and product adoptionMust Haves1. 4+ years of experience as a Full Stack Software Engineer2. Strong proficiency in Python and TypeScript3. Experience shipping production software end-to-end at a Series A+ startup OR experience as a Forward Deployed Engineer4. Experience working in customer-facing engineering environments such as Stripe, Ramp, Linear, Palantir, etc.5. Experience building or maintaining enterprise-grade systems with security and compliance requirements6. Strong CS fundamentals or equivalent technical degree7. Active GitHub with personal projects or open-source contributionsPreferred Background1. Startup experience with strong product ownership2. Enterprise integrations and infrastructure experience3. Experience working with AI infrastructure, document intelligence, or data platforms4. Strong communication and customer-facing skillsWhy Join1. Work directly with elite enterprise customers2. Join a fast-growing AI infrastructure startup at an early stage3. Build cutting-edge systems at the intersection of AI, computer vision, NLP, and enterprise infrastructure4. High ownership and direct exposure to founders and customers5. Strong compensation and meaningful equity upside