Digital Native AI Solutions Engineer (Pre-Sales)

SupportFinity™; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid work model

Job summary

OpenAI is seeking a solutions engineer to partner with Digital Native customers and ensure tangible business value from our models through the OpenAI suite of products. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications.

You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their

Qualifications

• 10+ years in a technical pre-sales or similar role.
• 4+ years selling to technology customers with C-level relationships.
• Foundational programming knowledge (Python/JavaScript).
• Experience delivering Generative AI prototypes and knowledge of network/cloud architecture.

Responsibilities

• Provide technical pre-sales expertise, outline value, and answer product/API/LLM questions.
• Demonstrate how OpenAI products meet business needs with demos and architecture guidance.
• Create and maintain docs, guides, and FAQs from the pre-sales process.
• Develop customer relationships through evaluation, validation, and purchasing.
• Relay customer feedback to product teams and identify recurring themes.
• Serve as security and compliance subject matter expert and direct to resources.

Skills

Technical pre-sales

Security & compliance

Python

JavaScript

Public speaking

Cloud architecture

Executive engagement

Job description

OpenAI is seeking a solutions engineer to partner with Digital Native customers and ensure tangible business value from our models through the OpenAI suite of products. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications.

You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their