Ai Deployment Engineering Manager, Digital Natives
openai
Híbrido
New York City
Engineering
AI
Job Score
100 pts
Hybrid model (+80)
Engineering (+10)
AI (+10)
About the team
The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As the leader of our AI Deployment Engineers in the Digital Native segment, you’ll help technology and software companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.
About the role
We are seeking a leader to ensure the technical success of our most strategic technology and software customers in the Americas. In this role, you will manage the entire implementation journey, ensuring seamless platform integration. As the voice of our customers, you will align technical teams to deliver a consistent and exceptional experience throughout the customer lifecycle. Success will be measured by live production applications, increased API adoption, and impactful customer stories that demonstrate the value of our technology.
This role is open in our San Francisco office. 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:
Own the strategy and operating model of the AI Deployment Engineering team, ensuring alignment with company objectives and the evolving needs of our customers.
Lead, build, and mentor a team of high-performing AI Deployment Engineers to deliver exceptional customer outcomes, as demonstrated by production customer applications and increased API adoption.
Serve as the technical advocate for our customers, synthesizing their needs to develop the Research and Applied Product/Engineering roadmaps.
Act as the primary technical escalation point during development, fostering trust and maintaining direct communication with executive-level stakeholders.
Serve as an industry thought leader, championing the safe and innovative application of our technology across various sectors.
You’ll thrive in this role if you:
Have 8+ years of experience in a technical customer-facing role, managing C-level technical and business relationships with complex global organizations.
Have 2+ years of experience leading technical post-sales teams with a demonstrated ability to hire, develop, and manage technical teams.
Have led complex implementations of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.
Have industry experience in programming languages like Python or Javascript.
Are an effective and polished communicator who can translate business and technical topics to all audiences and mentor others to do the same.
Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About Engineering
Software Engineering goes beyond traditional development, focusing on scalability, performance, and system architecture. Software engineers are responsible for designing infrastructures that support millions of simultaneous users.
Skills include microservices architecture, DevOps, cloud computing, application security, and performance optimization. Knowledge of containerization (Docker, Kubernetes) and CI/CD is increasingly required.
Senior software engineers are rare and highly compensated professionals, with opportunities at major global tech companies.
About Artificial Intelligence
Artificial Intelligence is currently the fastest-growing field in the technology market. The revolution in generative models (GPT, Claude, Gemini) has created massive demand for AI-specialized professionals.
Key areas of practice include Machine Learning Engineering, MLOps, Prompt Engineering, AI Research, and Applied AI. Python, TensorFlow, PyTorch, and LLM knowledge are essential skills.
AI salaries are the highest in the technology sector, with many remote work opportunities at international companies.
Discover Other Areas
Understand the scope of work, key skills, and tools used in different career areas.
About Customer Service
The Customer Service / Client Relations area is essential for ensuring customer satisfaction, retention, and a good relationship. Professionals in this field are the primary interface for communication, handling inquiries, requests, feedback, and ensuring a high-quality day-to-day experience. Skills in communication, problem-solving, empathy, and patience are indispensable.
About Graphic Designer
The Graphic Designer is the professional responsible for creating visual pieces for print and digital communication, from visual identity and logos to marketing materials and packaging. They combine creativity with technique to convey messages visually and impactfully.
Key skills include Adobe Photoshop, Illustrator, and InDesign, CorelDRAW, visual identity design, typography, color theory, packaging design, and motion graphics. Knowledge of vector illustration, offset/digital printing, and print production is a differentiator.
Graphic Designers in technology companies are highly valued, especially those who master social media design, infographics, and can create materials that strengthen brand visual identity. The field offers opportunities from junior graphic designer to art director and design director.
About Systems Analyst
The Systems Analyst is the professional responsible for analyzing, designing, and implementing technology solutions that meet business needs. They act as a bridge between business areas and the development team, ensuring that systems deliver real value to the organization.
Key skills include requirements gathering and analysis, process modeling (BPMN), data modeling, technical and functional documentation, system integration (APIs, microservices), and knowledge of ERPs and CRMs. Tools like Jira, Confluence, Visio, and project management platforms are essential.
Systems Analysts in technology companies are highly valued, especially those who master agile requirements analysis (user stories, backlog), system integration, and solution architecture. The field offers opportunities from junior analyst to solution architect, with a focus on efficiency, quality, and technological innovation.
About Traffic Manager
The Traffic Manager is the professional responsible for planning, executing, and optimizing paid media campaigns across various digital platforms. With the competitiveness of the digital market, paid traffic professionals are essential for generating qualified leads and maximizing return on advertising investment.
Key skills include campaign management on Google Ads, Meta Ads, LinkedIn Ads, and TikTok Ads, media planning, metrics analysis (ROAS, CPA, CPC, CTR), A/B testing, remarketing, and landing page creation. Tools like Google Analytics, Google Tag Manager, Hotjar, and automation platforms are essential.
Traffic managers in technology companies are highly valued, especially those who master performance marketing, conversion funnel optimization, and scaling strategies. The field offers opportunities from media analyst to head of performance, with a focus on growth, budget efficiency, and return on investment.
About Infrastructure and DevOps
Infrastructure and DevOps are responsible for creating, maintaining, and optimizing IT environments that support applications at scale. This area is fundamental for system reliability and performance.
Key technologies include AWS, GCP, Azure, Docker, Kubernetes, Terraform, Ansible, CI/CD (GitHub Actions, GitLab CI, Jenkins), and monitoring (Datadog, Grafana, Prometheus).
DevOps engineers and SREs are highly sought-after professionals, with salaries among the highest in the technology sector.