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Key job responsibilities
In this role, you will 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.You will have the opportunity to define GTM strategies and lead cross-functional initiatives to expand existing markets, develop scalable programs to drive adoption, and identify new opportunities. This involves activities include 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.You will be responsible for creating compelling content, and building scalable programs and mechanisms to increase awareness and adoption of ML Frameworks and AWS solutions. Additionally, you will work with the AWS ML and EC2 product teams to shape product vision and prioritize features for AI/ML Frameworks and applications. A keen sense of ownership, drive, and being scrappy is a must.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.AWS values diverse experiences. Even if you do not meet all of the 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.
- 5+ 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 technical discipline with 7+ years of technical design / implementation / consulting experience.
- 5+ years of business development, product management, management consulting, and strategic partnership experience.
- Experience developing and executing on GTM strategies that are large in scope.
- 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.
- 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.
- 7+ years of pre-sales engineering, technical business development, strategic partnerships, or program/product management experience
- Experience with cloud computing and or related fields.
- Demonstrated ability to work effectively across internal and external organizations is key in a matrix environment.
- 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.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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