Sr Worldwide Specialist
1 week ago
Do you want to help define the future of Go to Market (GTM) for Amazon Bedrock? In this role, you will be responsible for defining, building, and deploying targeted strategies to accelerate customer adoption of Amazon Bedrock across industry verticals. You will engage with product managers to influence product direction and help our customers tap into new markets by utilizing Amazon Bedrock along with other AWS Services. Amazon Bedrock hosts a number of foundation models, you will be working directly with the model providers around developing joint-GTM plans, joint-customer engagements, external/internal evangelism, and developing demos and proof-of-concepts using Amazon Bedrock.
Key job responsibilities:
- You will have the opportunity to define go-to-market (GTM) strategy for Amazon Bedrock and lead cross-functional initiatives to expand existing markets, develop scalable programs to drive adoption, and identify new opportunities. This involves activities including market sizing, working with your counterparts from across the globe to build 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.
As the ideal candidate, you possess a business and technology background that enables you to lead and drive engagements with customers from various segments, from startups to multinational enterprises. You have domain expertise in Generative AI and key ML powered use cases. You have the technical depth to articulate the benefits of Amazon Bedrock, and other GenAI related services and solutions to data scientists, and C-Level executives. In addition, you have a good understanding of the GenAI market trends, ecosystem, opportunities, and are passionate about market development and evangelism. 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 and model providers.
You will drive the development of the GTM plan for building and scaling adoption of Amazon Bedrock, interact with customers directly to understand their business problems, and work with model providers and our solutions architects to help them define and implement scalable GenAI solutions to solve them. You will also work closely with account teams and product teams to unblock and drive production implementations.
Minimum Qualifications:
- MBA/MS or equivalent relevant business experience.
- 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 or related fields.
- Demonstrated ability to work effectively across internal and external organizations is key in a matrix environment.
A day in the life:
You will need to be adept at interacting, communicating and partnering with other teams within AWS such as services teams, field solutions architecture, sales, marketing, as well as representing your team to executive management. You should be passionate about helping companies/partners understand best practices for operating on AWS. You will also look for patterns and trends that can be broadly applied across an industry segment or a set of customers that can help accelerate innovation.
This is an opportunity to be at the forefront of technological transformations, as a key leader.
About the team:
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.
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.
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.
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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
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.
Additional Qualifications:
- 6+ years of developing, negotiating and executing business agreements experience.
- 5+ years of AI/ML experience.
- 5+ years experience building out GTM Strategies.
- Experience influencing internal and external stakeholders.
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.
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