Solutions Engineer, Core Digital Natives

About the Role

The role is based in San Francisco, CA, or New York, NY, with a hybrid work model that includes 3 days in the office per week. Openai offers relocation assistance to new employees, making it an attractive opportunity for those looking to join a cutting-edge company.

What You Will Do

• Deliver exceptional pre-sales customer experiences for Digital Native prospects and customers by providing technical expertise and answering product, API, and LLM-related questions.
• Demonstrate how Openai's suite of products can meet customers' business needs and deliver substantial business value through building and presenting demos, scoping use cases, and recommending architecture patterns.
• 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, and escalating complex requirements to the appropriate teams.
• Collaborate with cross-functional teams to ensure the successful onboarding of new customers and to identify opportunities for upselling and cross-selling.
• Stay updated on the latest trends and advancements in AI, machine learning, and related technologies to continuously improve the customer experience and business outcomes.

What We Are Looking For

• 4+ years of experience in a technical pre-sales or similar role, selling to technology companies, and managing C-level technical and business relationships with complex organizations.
• A 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/traditional ML solutions and knowledge of network/cloud architecture.
• Effective presentation and communication skills to translate business and technical topics to all audiences, including senior leaders.
• The ability to own problems end-to-end and a willingness to acquire missing knowledge to get the job done.
• A humble attitude, an eagerness to help colleagues, and a desire to do whatever it takes to make the team succeed.
• Strong analytical and problem-solving skills, with the ability to think critically and outside the box.
• Experience working in a fast-paced, dynamic environment and adapting to changing priorities and deadlines.

Nice to Have

• Experience working with AI and machine learning technologies, particularly in the context of digital natives.
• Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud.
• Familiarity with agile development methodologies and version control systems like Git.
• Certification in a relevant field, such as security, data science, or AI engineering.
• Experience with sales and customer success platforms, such as Salesforce or HubSpot.

Benefits and Perks

• Competitive salary and benefits package.
• Opportunity to work with a cutting-edge AI company and contribute to the development of innovative technologies.
• Collaborative and dynamic work environment with a team of experienced professionals.
• Flexible working hours and remote work options.
• Professional development opportunities, including training and education programs.
• Access to the latest tools and technologies in the field of AI and machine learning.
• Recognition and reward programs for outstanding performance and contributions to the team.
• Comprehensive health insurance and wellness programs.
• Generous PTO and holiday policy.
• Retirement savings plan and other financial benefits.

• Build a strong foundation in AI and machine learning: Before applying, make sure you have a solid understanding of AI principles, machine learning algorithms, and their applications in real-world scenarios.
• Develop your communication skills: As a Solutions Engineer, you will need to communicate complex technical ideas to both technical and non-technical stakeholders, so practice presenting and explaining technical concepts in a clear and concise manner.
• Stay updated on industry trends: The field of AI is rapidly evolving, so it's essential to stay current with the latest developments, advancements, and best practices in the industry.
• Prepare to showcase your problem-solving skills: Be ready to provide specific examples of how you have solved complex technical problems in the past, and explain your thought process and approach to problem-solving.
• Highlight your experience working with cross-functional teams: As a Solutions Engineer, you will work closely with various teams, including sales, product, and security, so emphasize your ability to collaborate and work effectively in a team environment.
• Be prepared to discuss your experience with cloud computing and network architecture: As Openai's products are cloud-based, it's crucial to have a good understanding of cloud computing platforms, network architecture, and security principles.
• Show enthusiasm and passion for AI and its applications: Demonstrate your genuine interest in AI and its potential to drive business value, and be prepared to discuss how you can contribute to Openai's mission and vision.