Pre-Sales Solutions Engineer (San Francisco, CA)

Deepgram is seeking a Pre-Sales Solutions Engineer to join our Applied Engineering team. While you'll have the opportunity to contribute across the team's various responsibilities (including pre-sales, implementation, and customer support), your primary focus will be driving technical pre-sales engagements with our prospects, customers, and partners.

Responsibilities

Lead technical discovery and solution design for enterprise prospects and customers; Architect and implement custom proof-of-concepts and technical demonstrations that address specific customer use cases; Provide expert guidance on API integration, performance optimization, and deployment strategies; Partner with Account Executives to navigate technical objections and accelerate the sales cycle; Contribute to technical content creation including implementation guides, reference architectures, and best practices; Mentor junior team members and share technical knowledge across the organization; Represent the voice of the customer to product and engineering teams

Requirements

AI-first mindset and comfort using/experimenting with advanced AI tools; 5+ years of experience in technical pre-sales, solutions architecture, or similar customer-facing technical roles; Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript/TypeScript, or similar; Proven track record of successfully navigating complex technical sales cycles; Experience building and demonstrating proof-of-concepts or technical solutions to diverse audiences; Excellent verbal and written communication skills with the ability to translate technical concepts for both technical and non-technical stakeholders; Must be based within either Eastern or Pacific Time in the US

Nice to have

Experience with speech recognition, NLP, AI/Voice agents, or related AI technologies; Experience building customer-facing demos and sample code; Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s); Experience with API-first products and developer tools; Background in sales methodologies such as Triangle, MEDDIC, or Solution Selling