Sr. Specialist, GenAI, Frontier Models GTM

Amazon; Courbevoie; Sur place; EUR 110 000 - 160 000; Plein temps

Résumé du poste

Amazon Web Services (AWS) is seeking a business leader to shape go-to-market strategies for GenAI, partnering with customers to accelerate adoption of AWS GenAI services and SageMaker across industries.

You will work with product, solutions architecture, sales, marketing, and services to define market opportunities, build scalable programs, and create proof-of-concepts that demonstrate value to startups and Global 500 enterprises.

Qualifications

• Bachelor's degree required.
• Experience developing strategies that influence leadership decisions at the organizational level.
• Experience managing programs across cross functional teams, building processes and coordinating release schedules.
• MBA is preferred for enhanced strategic insight.

Responsabilités

• Define GTM strategies and lead cross-functional initiatives to expand markets.
• Develop scalable programs to drive adoption and identify opportunities.
• Create content to train field teams and communicate with customers, partners and internal teams.

Connaissances

Strategic business development

Cross-functional leadership

Negotiation & deal execution

Program management

Formation

Bachelor's degree

MBA

Description du poste

Job ID: 10516145 | AWS EMEA SARL (France Branch)

Do you want to help define the future of Go to Market (GTM) at AWS for 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., frontier models) on AWS, developing GTM plans, external/internal evangelism, and developing demos and proof-of-concepts.

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 that take advantage of the power of AWS' storage, compute, networking, and AI 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.

As the ideal candidate, you possess a business and technology background that enables you to lead and drive engagements with startups and large enterprises. You have domain expertise in key use cases, model learning techniques, large scale distributed training and inference challenges, orchestrating workloads using containers/GenAI Infra services, and are able to work backwards from customer requirements to suggest scalable solutions and architectures. You have the technical depth to articulate the benefits of Open Source Frameworks and AWS services to data scientists, data engineers, and C-Level executives. In addition, you have a good understanding of the GenAI market trends, ecosystem, opportunities, and are passionate about market development. You will need to be adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, and professional services) and externally with customers, partners, and importantly, the developer community of Frameworks and key open-source offerings.

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 SageMaker and EC2 product teams to shape product vision and prioritize features. A keen sense of ownership, drive, and being scrappy is a must.

A day in the life

Diverse Experiences

AWS 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.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & 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.

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.

Basic Qualifications

• - Bachelor's degree
• - Experience in developing, negotiating and executing business agreements
• - Experience developing strategies that influence leadership decisions at the organizational level
• - Experience managing programs across cross functional teams, building processes and coordinating release schedules

Preferred Qualifications

• - MBA
• - Experience working with GenAI Frontier models across modalities.
• - Experience in pre-sales engineering, technical business development, strategic partnerships, or program/product management or solution architect experience.
• - Experience with cloud computing and or related fields.
• - Experience speaking at technology conferences, as well as communicating across the organization from technical staff to VP/CxOs.
• - Strong verbal and written communications skills and ability to lead effectively across organizations.

Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constitue depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.