Solutions Engineer

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 RoleAs a Solutions Engineer at Pulse, you will partner with Account Executives and prospects to translate complex document-understanding challenges into technical solutions that win and retain business. You will lead solution discovery and design, run technical evaluations and proofs-of-concept, and architect deployments before handing off to implementation teams. This role sits at the intersection of pre-sales, solution architecture, and core engineering.ResponsibilitiesPartner with sales to lead technical discovery, qualify opportunities, and map customer requirements to Pulse capabilities using value-based and solution-selling methodologyDesign end-to-end solutions that account for the customer's current systems, data flows, and existing infrastructure, identifying integration points and constraints earlyCreate architecture diagrams and solution designs that support the buying decision and guide implementationLead proofs-of-concept and technical evaluations, defining success criteria and tying outcomes to business value (accuracy gains, cost and time savings, risk reduction)Apply pre-sales consulting best practices to build trust with technical and business stakeholders, including objection handling and tailored technical demosOwn a clean handoff to implementation and deployment teams with documented solution design, architecture, and success criteriaServe as the technical voice of the customer back to product and engineering, surfacing patterns across dealsRequirements3+ years in a customer-facing technical role such as solutions or sales engineering, pre-sales, solution architecture, or technical consulting, ideally selling technical or data infrastructure productsProven ability to lead technical discovery and map customer requirements to product capabilities using value-based and solution-selling methodologyComfort designing end-to-end solutions and creating architecture diagrams that account for a customer's existing systems, data flows, and infrastructureExperience running proofs-of-concept and technical evaluations, including defining success criteria and tying outcomes to measurable business valueStrong working knowledge of APIs, integrations, and modern cloud and data infrastructure, enough to architect credible solutions and speak fluently with technical stakeholdersProficiency in Python or a similar language for prototyping, demos, and technical validationExcellent presentation and communication skills, with the ability to build trust with both technical and business buyers and to handle objections with confidenceBias toward ownership and a track record of partnering closely with Account Executives to move deals forwardNice to haveFamiliarity with document processing, OCR, NLP, computer vision, or ML platformsExperience selling into regulated industries such as finance, healthcare, insurance, or legalWorking knowledge of Kubernetes, Docker, or cloud platforms (AWS, GCP, Azure)Background in data infrastructure or enterprise SaaSSponsorshipSponsorship 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.