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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in leading complex AI/ML systems from discovery to deployment, with a strong focus on customer collaboration and technical judgment. Proficient in building production-quality prototypes and navigating dynamic environments to maximize business impact.
Highest-signal resume keywords
AI/ML Systems LeadershipPython ProficiencyProduction-Quality PrototypingAgent Architecture PatternsCustomer Relationship Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML SystemsPythonJavaScriptTypeScriptPrompt EngineeringContext EngineeringEvaluation FrameworksSafety and SecurityPrototype DevelopmentReference Implementations
Soft Skills
Technical JudgmentCustomer CollaborationContext SwitchingNavigating AmbiguityProject Management
Industry Keywords
OpenAI APITechnical PlatformBusiness ImpactProduct RoadmapEmerging Model Capabilities
Tech Stack
Tools & technologiesJavaScriptPythonSwitchingTypeScript
About the role
Key responsibilities & impact- Partner with sophisticated technical platform customers to ideate and build novel applications on OpenAI’s API
- Forge relationships with CTOs, AI product leaders, and engineering leaders
- Guide customers in maximizing business impact and accelerating time to value
- Build prototypes, pilots, and model evaluations with customer teams
- Guide architecture decisions and inform customer product roadmaps
- Collaborate with Product and Research teams to validate frontier AI capabilities in customer environments
- Provide feedback to influence OpenAI’s product and research roadmap
- Share knowledge and publish best practices internally and externally
- Evaluate emerging model capabilities, developer tools, and implementation patterns
- Translate AI advances into practical recommendations for customer applications
- Support customer teams through on-site workshops and implementation sessions
- Resolve technical challenges and strengthen customer relationships
- Travel occasionally
Requirements
What you’ll need- 8+ years of deep, hands-on technical experience
- Track record of personally leading complex, production-scale AI/ML systems from discovery through deployment, adoption, and measurable business impact
- Knowledge of agent architecture patterns, advanced prompt and context engineering, evaluation frameworks, safety, and security
- Proficiency in Python, JavaScript, TypeScript, or similar languages
- Ability to build production-quality prototypes and reference implementations
- Strong technical judgment and ability to make clear recommendations with incomplete information
- Ability to work closely with customers
- Ability to manage frequent context switching and multiple projects with expansive ownership
- Ability to navigate ambiguity in dynamic environments
- Must be able to work from a local office three days per week
- Must be authorized to work in the country where the job is located
Benefits
Comp & perks- Hybrid work model with 3 days in the office per week
- Relocation assistance to new employees
- Occasional travel opportunities
- Immigration and sponsorship support may be provided based on individual circumstances
- Equal opportunity employment
- Reasonable accommodations for applicants with disabilities