Manager, Partner AI Deployment Engineering - AWS
WFA Digital Insight
The demand for AI specialists has grown exponentially, with a 43% increase in job postings in the last year. As a leader in the field, Openai is seeking a seasoned professional to manage its Partner AI Deployment Engineering team, focusing on AWS partnerships. With the Remote work model on the rise, this role offers a unique opportunity to work with a hybrid team and shape the future of AI deployments. Candidates should have a strong technical background, experience in managing high-performing teams, and excellent customer-facing skills. Before applying, it's essential to understand the current market landscape and the role's requirements.
Job Description
About the Role
The Manager, Partner AI Deployment Engineering - AWS will play a critical role in leading a team of AI Deployment Engineers focused on enabling AWS-aligned partners and their customers to build, deploy, and operationalize AI applications on Openai's platform. This role requires a unique blend of technical depth, customer leadership, operational rigor, and people management. The ideal candidate will have a strong technical background, experience in managing high-performing teams, and excellent customer-facing skills.As the leader of the AWS Partner ADE pod, you will be responsible for defining the operating model, engagement strategy, and technical priorities for the team. You will work closely with AWS partner leadership, solution architects, delivery organizations, and customer stakeholders to accelerate production adoption of Openai technologies.
The role is based in San Francisco, 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 leading AI company.
What You Will Do
- Lead, mentor, and grow a team of AI Deployment Engineers supporting strategic AWS partner engagements and customer deployments
- Define the operating model, engagement strategy, and technical priorities for the AWS Partner ADE pod
- Partner closely with AWS partner leadership, solution architects, delivery organizations, and customer stakeholders to accelerate production adoption of Openai technologies
- Guide teams through complex generative AI and traditional ML deployments, including architecture reviews, implementation planning, security considerations, evaluation strategies, and operational readiness
- Serve as a senior technical escalation point for critical partner and customer engagements, helping teams navigate ambiguity and drive successful outcomes
- Collaborate with Product, Research, and Engineering teams to synthesize partner feedback into platform improvements, tooling enhancements, and deployment best practices
- Develop scalable enablement frameworks, reference architectures, and repeatable deployment patterns that improve partner effectiveness and reduce time-to-production
- Drive operational excellence across the team, including resource planning, prioritization, hiring, onboarding, performance management, and career development
- Act as an external thought leader on enterprise AI deployment, cloud-native AI architectures, and responsible AI adoption within the AWS ecosystem
What We Are Looking For
- 8+ years of experience in technical customer-facing roles, including managing executive-level technical and business relationships with enterprise organizations and strategic partners
- 3+ years of experience leading high-performing technical teams in solutions engineering, deployment engineering, forward-deployed engineering, customer engineering, or post-sales environments
- Hands-on experience deploying Generative AI and traditional ML systems into production environments
- Strong technical background in AI, ML, or related fields
- Excellent customer-facing skills, with experience in managing executive-level technical and business relationships
- Experience working with AWS or other cloud providers
- Strong understanding of cloud-native AI architectures and responsible AI adoption
- Experience with Excel and other productivity tools
Nice to Have
- Experience with AWS-specific technologies, such as AWS SageMaker or AWS Lambda
- Knowledge of DevOps practices and tools, such as Jenkins or Docker
- Experience with agile development methodologies, such as Scrum or Kanban
- Certification in AI, ML, or related fields
Benefits and Perks
- Competitive salary and equity package
- Comprehensive health insurance, including medical, dental, and vision
- Generous PTO and holiday policy
- Remote work stipend and flexible work arrangements
- Opportunities for professional growth and development
- Access to cutting-edge AI technologies and tools
- Collaborative and dynamic work environment
How to Stand Out
- tip: Highlight your experience with AI and ML deployments, and be prepared to provide specific examples of your work.
- tip: Emphasize your customer-facing skills, including your ability to manage executive-level technical and business relationships.
- tip: Make sure your resume and online profiles are up-to-date and showcase your technical skills, including any relevant certifications or training.
- tip: Research Openai's products and services, and be prepared to discuss how you can contribute to the company's mission and goals.
- tip: Prepare examples of your experience with agile development methodologies, DevOps practices, and cloud-native AI architectures.
- tip: Be prepared to discuss your experience with Excel and other productivity tools, and how you have used them to drive business outcomes.
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