Solutions Engineer

present of AI; San Francisco (CA); Presencial; USD 120.000 - 190.000; Jornada completa

Descripción de la vacante

present of AI in San Francisco is seeking a Solutions Engineer on the sales team to combine deep technical knowledge with customer engagement. You will scope requirements, run demos, build proofs of concept, and help close deals by showing the product in action.

The ideal candidate translates business needs into technical designs, writes sample code, and explains tradeoffs clearly to engineers and buyers; comfort with APIs, speech and language models, and fast prototyping is valued.

Formación

• Translate business needs into technical designs.
• Write sample code to demonstrate concepts.
• Explain tradeoffs to engineers and buyers.
• Comfort with APIs, speech and language models, and rapid prototyping.

Responsabilidades

• Scope requirements with customers and identify success criteria.
• Run product demos and present proofs of concept.
• Help close deals by showing the product works in real scenarios.
• Provide clear technical explanations to both engineers and buyers.

Conocimientos

APIs

Demos

PoC

Customer facing

ML/AI product

Descripción del empleo

A Solutions Engineer on a sales team usually pairs technical depth with customer facing work: scoping requirements, running demos, building proofs of concept, and helping close deals by showing a product works. A strong candidate can translate business needs into technical designs, write sample code, and explain tradeoffs clearly to both engineers and buyers. For a voice AI developer platform, comfort with APIs, speech and language models, and fast prototyping matters more than polished sales talk.

How it fits the AI era

AI has shifted this work toward assembling and testing model stacks, tuning prompts and voice pipelines, and debugging latency and quality issues live with customers. The human parts remain trust building, reading what a customer actually needs, and judging which technical path is realistic. The role sits where AI capability meets customer reality, so judgment about fit matters as much as model knowledge.

How it builds AI experience

The role builds hands on experience with voice agents end to end: speech to text, language models, text to speech, and the glue between them. Candidates can prepare by building a working voice agent demo, measuring latency and accuracy, and learning to swap providers within one stack. That mirrors how companies assemble their own model choices rather than relying on a single vendor.

Worth showing

• API integration
• Technical discovery calls
• Proof of concept builds
• Clear technical explanation

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Vapi

A developer platform for building voice AI agents, letting companies assemble their own stack of speech, language and voice models instead of using a single bundled provider.