About 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.
Responsibilities- Partner with sales to lead technical discovery, qualify opportunities, and map customer requirements to Pulse capabilities using value-based and solution-selling methodology
- Design end-to-end solutions that account for the customer's current systems, data flows, and existing infrastructure, identifying integration points and constraints early
- Create architecture diagrams and solution designs that support the buying decision and guide implementation
- Lead 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 demos
- Own a clean handoff to implementation and deployment teams with documented solution design, architecture, and success criteria
- Serve as the technical voice of the customer back to product and engineering, surfacing patterns across deals
Requirements- 3+ 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 products
- Proven ability to lead technical discovery and map customer requirements to product capabilities using value-based and solution-selling methodology
- Comfort designing end-to-end solutions and creating architecture diagrams that account for a customer's existing systems, data flows, and infrastructure
- Experience running proofs-of-concept and technical evaluations, including defining success criteria and tying outcomes to measurable business value
- Strong working knowledge of APIs, integrations, and modern cloud and data infrastructure, enough to architect credible solutions and speak fluently with technical stakeholders
- Proficiency in Python or a similar language for prototyping, demos, and technical validation
- Excellent presentation and communication skills, with the ability to build trust with both technical and business buyers and to handle objections with confidence
- Bias toward ownership and a track record of partnering closely with Account Executives to move deals forward
Nice to have- Familiarity with document processing, OCR, NLP, computer vision, or ML platforms
- Experience selling into regulated industries such as finance, healthcare, insurance, or legal
- Working knowledge of Kubernetes, Docker, or cloud platforms (AWS, GCP, Azure)
- Background in data infrastructure or enterprise SaaS
SponsorshipSponsorship 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.
