Pre-Sales Solutions Engineer (San Francisco, CA)
Leads technical pre-sales for Voice AI platform, designing solutions, building proof-of-concepts, and partnering with sales to close enterprise deals. Requires 5+ years in technical pre-sales and strong software engineering in Python/JavaScript.
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
- 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 languages
- 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
Nice-to-Haves
- 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
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