Applied AI Architect, Enterprise

Openai; Deutschland; Hybrid; EUR 129.000 - 181.000; Vollzeit

Benefits dieser Stelle

Relocation assistance

Zusammenfassung

OpenAI is seeking a solutions engineer for Enterprise customers to drive business value from the OpenAI suite. You will partner with senior stakeholders, guide AI strategy, and identify high-value use cases. The role collaborates with Enterprise Sales, Security, and Product teams.

The position is based in San Francisco or New York with a hybrid model (3 days in office) and relocation assistance for new hires.

Qualifikationen

• 8+ years in a technical pre-sales or similar role.
• 4+ years selling to Enterprise customers with C-level relationships.
• Understanding of IT security for SaaS products; security/compliance support.

Aufgaben

• Deliver pre-sales experiences for Enterprise prospects by outlining value, answering API and LLM-related questions.
• Demonstrate value by building demos, scoping use cases, and recommending architectures.
• Create and maintain documentation, guides, and FAQs from pre-sales inquiries.
• Develop strong customer relationships during evaluation, validation, and purchasing stages.
• Relay customer feedback to internal teams and guide product planning.

Kenntnisse

Enterprise pre-sales

Technical pre-sales

Security & compliance

Python/JavaScript

Stakeholder management

Demonstrations & architecture

Jobbeschreibung

About the Team

The Technical Success team is responsible for the customer experience on the OpenAI suite of products, ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

We are seeking a solutions engineer to partner with our Enterprise customers and ensure they achieve 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 implementation and development. You will work closely with Enterprise Sales, Security, and Product teams.

This role is based in San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Deliver an exceptional pre-sales customer experience for Enterprise prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.
• Demonstrate how leveraging OpenAI’s suite of products can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.
• Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.
• Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.
• Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.
• Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

You’ll thrive in this role if you:

• Have 8+ years of experience in a technical pre-sales or similar role, including 4+ years selling to Enterprise customers, managing C-level technical and business relationships with complex global organizations.
• Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.
• Have foundational training in programming languages like Python or Javascript.
• Have delivered prototypes of Generative AI/traditional ML solutions and have knowle