Generative AI Model and Distributed Training BDM, APJ
Amazon.com
Do you want to help define the future of Go to Market (GTM) of Machine Learning and Generative AI (GenAI) at AWS? Would you like to join one of the fastest-growing organizations focused on some of the most exciting technological innovations customers are building? The AWS APJ team is looking for an experienced technical business leader to drive the GTM for the next evolution of Generative AI model building and training customers across APJ.
As the Technical BDM, you will be responsible for leading the GTM strategy for customers building the next generation LLMs. This role will work in conjunction with AWS Service Teams, Regional Solution Architecture teams, Worldwide Machine Learning Frameworks team, Regional Leadership and APJ Specialist teams. You will be working directly with customers (across segments) in the GenAI model training and inference space helping them build, train and scale their own Large Language Models (LLMs) on AWS. Activities will include, model performance evaluations, develop proof-of-concepts, developing GTM plans, and external/internal evangelism.
You will possess a technical and business background that enables you to drive an engagement and interact at the highest levels with start-ups, Enterprises, and AWS partners. You will have the technical depth and business experience to easily articulate the potential and challenges of GenAI models and applications to engineering teams and C-Level executives. This requires deep familiarity across the stack – compute infrastructure (Amazon EC2, Amazon EKA), ML frameworks PyTorch, JAX, orchestration layers Kubernetes and Slurm, parallel computing (NCCL, MPI), MLOPs, through to Amazon SageMaker Hyperpod, Amazon Bedrock as well as target use cases in the cloud.
This is an opportunity to be at the forefront of technological transformations, as a key technical leader. Additionally, you will work with the AWS Generative AI and EC2 product teams to shape product vision and prioritize features for ML Frameworks and applications. A keen sense of ownership, drive, and being scrappy is a must.
Key job responsibilities
• Assess market opportunity across the APJ region for Model training and inference.
• Develop and own the GTM plan that will identify target customer segments, partnership opportunities, roadblocks and risks with initial launch, success criteria for launch and the investment strategy.
• Responsible for influence, interlock and communications with the Global Service, marketing and regions expansion teams.
• 15+ years’ experience in software development, ML engineering, or Solution Architecture
• Proven track record at owning and executing new product launch or market development strategies across the APJ region (e.g., taking new products to market, or building new businesses), including identifying and closing first customer wins.
• Exceptional interpersonal and communication (both written and verbal) skills.
• Experience communicating with both technical and non-technical stakeholders across multiple teams and developing and presenting business/investment strategies to C-Suite/Board level.
• An independent and creative thinker who can operate with autonomy in high ambiguous environments without direct reporting line of Service and Infrastructure Teams.
• ‘Invent and simply’ mindset. Data driven, but comfortable with ambiguity. Adept at simplifying complexity and developing scalable propositions.
• Manage complex projects and programs while demonstrating exceptional business judgement.
About the team
We are a collaborative team that treats stakeholders and teammates like customers, and aim to ensure everything we deliver provides the highest value for our customers. We are responsible for building training, authoring best practice enablement content, and disseminating best practices at scale, that directly impact our customers’ success as they operate their workloads on AWS.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
As the Technical BDM, you will be responsible for leading the GTM strategy for customers building the next generation LLMs. This role will work in conjunction with AWS Service Teams, Regional Solution Architecture teams, Worldwide Machine Learning Frameworks team, Regional Leadership and APJ Specialist teams. You will be working directly with customers (across segments) in the GenAI model training and inference space helping them build, train and scale their own Large Language Models (LLMs) on AWS. Activities will include, model performance evaluations, develop proof-of-concepts, developing GTM plans, and external/internal evangelism.
You will possess a technical and business background that enables you to drive an engagement and interact at the highest levels with start-ups, Enterprises, and AWS partners. You will have the technical depth and business experience to easily articulate the potential and challenges of GenAI models and applications to engineering teams and C-Level executives. This requires deep familiarity across the stack – compute infrastructure (Amazon EC2, Amazon EKA), ML frameworks PyTorch, JAX, orchestration layers Kubernetes and Slurm, parallel computing (NCCL, MPI), MLOPs, through to Amazon SageMaker Hyperpod, Amazon Bedrock as well as target use cases in the cloud.
This is an opportunity to be at the forefront of technological transformations, as a key technical leader. Additionally, you will work with the AWS Generative AI and EC2 product teams to shape product vision and prioritize features for ML Frameworks and applications. A keen sense of ownership, drive, and being scrappy is a must.
Key job responsibilities
• Assess market opportunity across the APJ region for Model training and inference.
• Develop and own the GTM plan that will identify target customer segments, partnership opportunities, roadblocks and risks with initial launch, success criteria for launch and the investment strategy.
• Responsible for influence, interlock and communications with the Global Service, marketing and regions expansion teams.
• 15+ years’ experience in software development, ML engineering, or Solution Architecture
• Proven track record at owning and executing new product launch or market development strategies across the APJ region (e.g., taking new products to market, or building new businesses), including identifying and closing first customer wins.
• Exceptional interpersonal and communication (both written and verbal) skills.
• Experience communicating with both technical and non-technical stakeholders across multiple teams and developing and presenting business/investment strategies to C-Suite/Board level.
• An independent and creative thinker who can operate with autonomy in high ambiguous environments without direct reporting line of Service and Infrastructure Teams.
• ‘Invent and simply’ mindset. Data driven, but comfortable with ambiguity. Adept at simplifying complexity and developing scalable propositions.
• Manage complex projects and programs while demonstrating exceptional business judgement.
About the team
We are a collaborative team that treats stakeholders and teammates like customers, and aim to ensure everything we deliver provides the highest value for our customers. We are responsible for building training, authoring best practice enablement content, and disseminating best practices at scale, that directly impact our customers’ success as they operate their workloads on AWS.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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