About this role
Frontier AI LLMs is hiring a full-time Partner Sales Manager to lead the Cloudera partnership in APAC, based in Singapore. This position suits an experienced sales professional ready to scale global enterprise AI adoption through strategic channel execution.
Role Overview
The Partner Sales Manager for Cloudera APAC joins the initial on-the-ground APAC Partner Go-To-Market team at Frontier AI LLMs. This role drives the strategy, execution, and expansion of the Cloudera partnership across the region. The successful candidate will build executive relationships, manage end-to-end partnership responsibilities, and collaborate cross-functional teams to accelerate enterprise AI demand.
Key Responsibilities
Requirements
Skills and Tools
About the Company
Frontier AI LLMs provides full-stack artificial intelligence solutions ranging from frontier models and developer tools to applications and compute power. The enterprise partners with organizations tackling complex challenges across high-stakes industries such as finance, manufacturing, defense, healthcare, and the public sector. The collaborative team is distributed across Europe, North America, Asia, and the Middle East.
How to Apply
Interested candidates should visit the official company careers page to submit an application and learn more about location-specific opportunities.
Skills and tech stack
Questions candidates ask
Where is this job located?
The role is based in Singapore, serving the APAC region, with expected travel within APAC and to the Paris headquarters.
What level of experience is required?
Candidates must have 10+ years of experience with a proven sales track record in the ISV space.
What education is preferred for this position?
A Bachelor's degree in Business, Computer Science, Information Technology, or a related field is required. An MBA or advanced degree is preferred.
What specific partnership does this role manage?
This role focuses specifically on managing and scaling the Cloudera partnership across the APAC region.
What technical knowledge is expected?
Candidates need technical credibility to understand and discuss AI and ML concepts, API integrations, model deployment architectures, and LLM platforms.