Frontier Models Lead, APJ Partner Category

As the APJ Frontier Models Category Lead you will own and drive the end-to-end AWS and Frontier Model provider partnership strategy across the Asia-Pacific and Japan region. You will be responsible for understanding customer and market signals accelerating customer adoption of Frontier models on AWS growing top-line revenue growth and overall end customer adoption across all market segments and across all countries in APJ.
This is a high-visibility high-impact role that sits at the intersection of AWSs largest AI partnerships and our fastest-growing customer workloads. You will serve as the single-threaded owner (STO) for the Frontier Model partnership in APJ orchestrating executive governance field enablement go-to-market execution and competitive positioning.
The ideal candidate will have direct sales and/or ISV/Technology Partner experience as well as deep familiarity with the AI/ML landscape cloud platform economics and enterprise partner development. The candidate will have strong business acumen and problem-solving skills as well as the ability to manage multiple customer personas and successfully align executive stakeholders with differing goals. A strong executive presence and the ability to successfully manage ambiguous fast-moving situations autonomously and deliver results is required.


Key job responsibilities
Define and execute the APJ partnership strategy goals and metrics. Break down the overall goals and metrics into country/area outcomes
Set up partner governance and executive engagement. Establish and run partnership operating model serve as AWSs primary relationship holder with partners APJ leadership.
Build scalable enablement across APJ including country-level working groups partner launch events and field training.
Work with cross-functional stakeholders (AI/ML Specialists Partner Leaders Sales Leaders) to deliver integrated campaigns and customer engagements
Enable Area/Country Partner teams to serve as local representatives for the partnership - delivering comprehensive onboarding weekly office hours and monthly enablement sessions
Work back from market signals to identify and mitigate partnership risks (capacity constraints policy issues feature availability) with proactive remediation plans
Track and communicate key metrics: ARR TCV pipeline coverage. Maintain pipeline visibility and reporting cadence.


A day in the life
Your day might start with a pipeline review call with Japans Area Partner team to unblock a strategic enterprise deal followed by a bi-weekly sync with APJ partner leadership to align on upcoming product launches. Mid-morning youre reviewing market signals and customer feedback. After lunch youre enabling a group of sellers on a new co-sell play and in the afternoon youre leading an executive monthly business review presenting APJ progress to world wide leadership.

About the team
The APJ Partner Category Team is responsible for AWSs most strategic technology partnerships across Asia-Pacific and Japan. We operate as category leaders - each owning an end-to-end partnership strategy that spans revenue GTM enablement and executive governance. We work at the intersection of AWSs fastest-growing services and our partners go-to-market ambitions to drive customer outcomes at scale.

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- 3 years of business development partnership management or sourcing new business experience
- Bachelors degree or equivalent
- Experience using data and metrics to determine and drive improvements
- Experience working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage
- 5 years of communicating with and presenting to executive and senior audiences experience

- 5 years of experience in technology partner development ISV alliances or strategic business development in the cloud/AI ecosystem
- Direct experience managing frontier AI model or platform partnerships
- Demonstrated ability to drive $100M revenue targets through partner co-sell motions
- Track record of building operating models governance mechanisms and field enablement at scale
- Understanding of AI/ML infrastructure economics (GPU capacity inferencing costs model deployment architectures)

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