Manager, Partner Applied AI Engineering (AWS)

Rozgoo; United States; Hybrid; USD 180,000 - 220,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid work model (3 days in office)

Job summary

Rozgoo is seeking a Manager, Partner AI Deployment Engineering – AWS to lead a team of AI Deployment Engineers focused on AWS-aligned partnerships. You will own the technical success strategy for partners, guiding them from solution design through production deployment, optimization, and adoption growth.

The role combines technical depth with customer leadership, working across Sales, Partnerships, Product, Research, and Engineering to influence the platform roadmap.

Qualifications

• 8+ years in technical customer-facing roles with enterprise partners
• 3+ years leading high-performing technical teams in deployment/solutions engineering
• Hands-on deployment of Generative AI and traditional ML systems
• Strong knowledge of AWS cloud infrastructure and modern cloud-native architectures
• Experience working with cloud ecosystem partners and systems integrators
• Proficient in Python, JavaScript, or TypeScript
• Ability to translate technical concepts into clear business outcomes for execs and partners
• Ownership mindset with curiosity in fast-moving environments

Responsibilities

• Lead and grow a team of AI Deployment Engineers supporting AWS partner engagements and customer deployments.
• Define operating model, engagement strategy, and technical priorities for the AWS Partner ADE pod.
• Accelerate production adoption of OpenAI technologies with partner leadership and delivery teams.
• Guide architecture reviews, deployment planning, security considerations, and operational readiness.
• Serve as senior technical escalation point for partner/customer engagements.
• Collaborate with Product/Research/Engineering to incorporate partner feedback into roadmap.
• Develop scalable enablement frameworks and repeatable deployment patterns.

Skills

Executive relationship mgmt

Technical leadership

GenAI deployment

AWS cloud

Python/JS/TS

People management

Communication

Tools

LLM architectures

Job description

About the team

The AI Deployment Engineering (ADE) team is responsible for ensuring the safe and effective deployment of generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to customers and ecosystem partners, helping identify high-impact GenAI use cases and driving them into production through strong architectural guidance and hands‑on execution. The Partner ADE organization works closely with strategic cloud providers, systems integrators, consultancies, and implementation partners to scale successful deployments of OpenAI technologies. As the leader of the AWS Partner ADE pod, you will manage 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.

About the role

We are seeking a Manager, Partner AI Deployment Engineering – AWS to lead a team of AI Deployment Engineers supporting strategic AWS ecosystem partnerships. In this role, you will own the technical success strategy for AWS-aligned partners and help scale repeatable deployment motions. Your team will guide partners and customers through the full AI implementation lifecycle—from solution design and architecture reviews through production deployment, optimization, and adoption growth. You will work cross‑functionally with internal and external stakeholders across Sales, Partnerships, Product, Research, and Engineering teams to ensure the voice of partners and customers informs our platform roadmap and deployment strategy. This role requires a blend of technical depth, customer leadership, operational rigor, and people management. Success will be measured through production deployments, partner technical maturity, API adoption growth, team development, and the overall impact of the AWS partner ecosystem. This role is based 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:

• 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.

You might thrive in this role if you:

• Have 8+ years of experience in technical customer‑facing roles, including managing executive‑level technical and business relationships with enterprise organizations and strategic partners.
• Have 3+ years of experience leading high‑performing technical teams in solutions engineering, deployment engineering, forward‑deployed engineering, customer engineering, or post‑sales environments.
• Have hands‑on experience deploying Generative AI and traditional ML systems into production environments, including familiarity with LLM application architectures, evaluation methodologies, orchestration frameworks, and operational best practices.
• Have strong knowledge of AWS cloud infrastructure and modern cloud‑native architectures, including networking, security, compute, storage, observability, and application deployment patterns.
• Have experience working with cloud ecosystem partners, systems integrators, consultancies, or technical alliance organizations.
• Have technical depth in software engineering or solution development using languages such as Python, JavaScript, or TypeScript.
• Are comfortable balancing strategic leadership with hands‑on technical engagement and operational execution.
• Are an effective communicator who can translate complex technical concepts into clear business outcomes for executives, partners, developers, and customers alike.
• Have a strong sense of ownership, humility, and curiosity, with a willingness to learn quickly and help others succeed in ambiguous, fast‑moving environme