Tech Stack
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.
AI @ 3
Communication @ 6
Machine Learning
Scoping @ 6
- 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
The Enablement team translates OpenAI’s product innovation into customer impact by equipping customer-facing teams with the knowledge, practice, and frameworks needed to succeed. This role owns the role-specific onboarding experience for technical go-to-market roles, with a focus on days 30–90 of ramp.
Responsibilities
- Own the design and delivery of day 30–90 role-specific onboarding for technical GTM roles.
- Define learning outcomes and readiness standards with technical GTM leaders.
- Build curricula and learning paths that translate complex product and deployment concepts into job-specific behavior.
- Design and facilitate hands-on experiences, including labs, demos, simulations, technical discovery practice, and customer scenarios.
- Create assessments, certifications, and manager-ready proficiency and deployment-readiness signals.
- Partner with Product, technical subject-matter experts, and GTM leaders to source, validate, and update content as products and guidance evolve.
- Coach subject-matter experts and facilitators to teach technical content clearly and effectively.
- Establish repeatable content-governance and reinforcement systems that scale across roles and regions.
- Use learner feedback, performance data, and AI-enabled workflows to improve practice, learner support, content maintenance, and program efficiency.
Requirements
- 5–8 years of experience in technical enablement, Solutions Engineering, Solutions Architecture, Technical Success, Implementation, technical consulting, or another customer-facing technical role.
- Experience developing fluency in complex products, technical architectures, integrations, and deployment considerations.
- Direct customer experience with complex, deeply technical SaaS platforms.
- Strong technical discovery, scoping, and solution judgment, with the ability to connect customer workflows and business needs to technical recommendations.
- Ability to explain complex technical concepts clearly and turn them into practical, role-relevant guidance for technical GTM teams.
- Experience creating or leading hands-on technical experiences such as labs, demos, simulations, discovery practice, or customer scenarios.
- Strong cross-functional collaboration skills with Product, technical subject-matter experts, and GTM leaders.
- Strong program management, facilitation, written communication, and verbal communication skills.
- Willingness to work in-office in San Francisco.
Preferred Qualifications
- Direct experience in Solutions Engineering or Solutions Architecture.
- Experience working with AI/ML products or platforms.
- Experience designing or delivering enablement, onboarding, technical training, or knowledge-sharing programs.
- Familiarity with instructional design principles or adult learning.
- Experience leading subject-matter expert programs or designing technical assessments and certifications.
Benefits
- Base salary of $226,000–$251,000 per year, plus equity and performance-related bonuses for eligible employees.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax FSA, dependent-care, commuter, parking, and transit accounts.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, company holidays, office closures, and paid sick or safe time.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily office meals and eligible meal delivery credits.
- Relocation support for eligible employees.
- Additional taxable fringe benefits, including charitable donation matching and wellness stipends.
OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.
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