Used Tools & Technologies
Machine Learning GenAIRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 3
Python @ 3
Scoping @ 3
Communication @ 6
JavaScript @ 3
API @ 3
LLM @ 3
Compliance @ 3
Generative AI @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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 largest Private Equity 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 Private Equity and Large 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.
Responsibilities
- Deliver an exceptional pre-sales customer experience for large Private Equity 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.
Requirements
- 10+ years of experience in a technical pre-sales or similar role, including 3+ years working with Private Equity partners.
- Thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.
- Foundational training in programming languages like Python or JavaScript.
- Experience delivering prototypes of Generative AI and/or traditional ML solutions and knowledge of network/cloud architecture.
- Strong presentation and communication skills; able to translate business and technical topics to all audiences, including senior leaders.
- Able to own problems end-to-end and learn missing domain knowledge as needed.
- Collaborative, humble attitude and eagerness to help colleagues and contribute to team success.
Benefits
- Base pay within a listed range (see company posting); total compensation may include equity and performance-related bonuses.
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts.
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit).
- 401(k) retirement plan with employer match.
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), paid medical and caregiver leave (up to 8 weeks).
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees.
- 13+ paid company holidays and multiple coordinated company office closures.
- Mental health and wellness support; employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily meals in offices and meal delivery credits as eligible.
- Relocation support for eligible employees.
- Additional taxable fringe benefits (charitable donation matching, wellness stipends) as applicable.
Location & Work Model
- Based in San Francisco, CA or New York, NY (United States).
- Hybrid work model: 3 days in the office per week.
- Relocation assistance provided to new employees.