Senior Worldwide Specialist, GenAI Model Training & Inference

Job Description

Do you want to help define the future of Go to Market (GTM) at AWS using generative AI (GenAI)? You will be part of the core worldwide GenAI Training and Inference team, responsible for defining, building, and deploying targeted strategies to accelerate customer adoption of our services and solutions across industry verticals. You will be working directly with the most important customers (across segments) in the GenAI model training and inference space helping them adopt and scale large-scale workloads (e.g., foundation models) on AWS, developing GTM plans, external/internal evangelism, and developing demos and proof-of-concepts.

Key Responsibilities

• Work closely with customers to understand the ML infrastructure requirements, complexities involved in scaling GenAI model training across modalities and use-cases like natural language processing (NLP) and computer vision that take advantage of the power of AWS’ storage, compute, networking, and ML technologies.
• Define GTM strategies and lead cross-functional initiatives to expand existing markets, develop scalable programs to drive adoption, and identify new opportunities.
• Engage in market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts, creating content to train the field teams, driving industry thought-leadership, working with product teams to define new features, and identifying partners and potential acquisitions.
• Create compelling content, and build scalable programs and mechanisms to increase awareness and adoption of ML Frameworks and AWS solutions.
• Work with the AWS ML and EC2 product teams to shape product vision and prioritize features for AI/ML Frameworks and applications.

Basic Qualifications

• 7+ years of developing, negotiating and executing business agreements experience.
• Experience developing strategies that influence leadership decisions at the organizational level.
• Experience managing programs across cross-functional teams, building processes and coordinating release schedules.
• Bachelor’s degree in a technical discipline with 7+ years of technical design/implementation/consulting experience.
• 7+ years of business development, product management, management consulting, and strategic partnership experience.
• Working knowledge of one or more ML Frameworks (e.g., PyTorch, JAX) and ML methods including GenAI foundation models, computer vision models, and other ML models.

Preferred Qualifications

• Experience interpreting data and making business recommendations.
• Experience identifying, negotiating, and executing complex legal agreements.
• MBA/MS or equivalent relevant business experience.
• Experience working with GenAI Foundation models, part of startups working on GenAI foundation models across modalities.
• Hands-on working knowledge of deep learning and other ML algorithms and infrastructure.
• 10+ years of pre-sales engineering, technical business development, strategic partnerships, or program/product management experience.
• Experience with cloud computing and related fields.
• Strong verbal and written communications skills and ability to lead effectively across organizations.
• Experience speaking at technology conferences, as well as communicating across the organization from technical staff to VP/CxOs.

About Amazon Web Services

Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.

Equal Opportunity Employer

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit our website.

Compensation

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $133,200/year in our lowest geographic market up to $220,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.