Develop accurate sales forecasts, manage pipeline health, and lead business reviews to support predictable revenue growth.
Partner closely with Solutions Architects, Product, Marketing, and Customer Success teams to deliver customer-centric solutions and maximize business outcomes.
Gather market intelligence and customer insights to help shape product strategy and commercial priorities.
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For inference track, develop the Volcano Ark MaaS (Model-as-a-Service) inference platform, optimizing the performance, cost efficiency, and reliability of large language model inference across hyperscale heterogeneous GPU clusters.
Individuals who are completing or have recently completed a Bachelor's/ Master's degree in computing or a related discipline.
Proficient in one or more programming languages such as Python, Rust, or C++, with strong coding practices, clean software design principles, and the ability to architect reusable frameworks and abstractions.
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Build and maintain effective cross-functional partnerships, ensuring timely and accurate communication of Corporate Services policies, guidelines, cost-related information, and available resources to the business. Incorporate business feedback to continuously improve service and collaboration mechanisms, enhance responsiveness, and improve overall business satisfaction.
Individuals who are completing or have recently completed a Bachelor's degree.
Fast learner with strong business acumen. Able to quickly pick up new concepts and understand the underlying business needs behind different requests.
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Collaborate with cross-functional teams to deliver event data ingestion, transformation, and storage solutions that meet diverse business requirements.
Troubleshoot and resolve complex issues in production systems to ensure minimal downtime and optimal performance.
Individuals who are completing or have recently completed a Bachelor's / Master's degree in Computer Science, Software Engineering, or a related technical discipline.
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Work in a cross-functional team setting to mitigate business risks.
Work with relevant software platform to develop/deploy/monitor the models.
Individuals who are completing or have recently completed a Bachelor's degree or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
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Design and implement workload scheduling across multiple data centers, regions, and cloud environments, ensuring balanced resource utilization and efficient placement of both online services and offline batch jobs.
Individuals who are completing or have recently completed a Bachelor's/ Master's degree in computing or a related discipline.
Proficient in one or more programming languages such as Go, Python, or Shell scripting in a Linux environment.
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