At a Glance
- Tasks: Help customers leverage generative AI and machine learning to enhance their business outcomes.
- Company: Join AWS, the leading cloud platform trusted by startups and Fortune 500 companies.
- Benefits: Enjoy flexible work-life balance, mentorship opportunities, and a culture of inclusion.
- Why this job: Be a key player in driving innovation and business value through advanced technologies.
- Qualifications: Bachelor's degree or 7+ years of experience; 5+ years in machine learning or consulting preferred.
- Other info: AWS encourages diverse experiences; apply even if you don't meet all qualifications.
The predicted salary is between 43200 - 72000 £ per year.
Amazon Web Services (AWS) is looking for experienced and motivated business-oriented technologists who possess a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence. This role will focus on supporting customers looking to enhance their business or operational outcomes through the use of advanced and emerging technologies.
You will partner with customers, AWS Sales, AWS service teams, AWS industry teams and AWS Professional Services delivery teams to craft industry-specific programs that will serve the needs of the customer, and extend that use to other customers within the industry and related industries. You will leverage and refine a programmatic approach to help customers drive their business metrics across a set of industry-specific needs. As a trusted customer advocate, the Generative AI Strategist will assess and deliver best practices around program delivery, project approaches, and business measurement. The ability to connect business value to a scalable, repeatable, extensible approach is critical to the Strategist role.
Sales, Marketing and Global Services (SMGS)
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services., * Bring alignment between customer’s technologists and business leads; help them to explore the art of the possible with generative AI and machine learning, and to develop a roadmap to deliver business value in the most effective way
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Discuss complex industry-specific business concepts with executives, line managers and technologists
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Engage with various AWS teams, including applied scientists, solutions architects, business development, marketing, industry specialists, partners and regional organizations
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Drive large, complex sales opportunities from ideation, through vision building and scoping, all the way to closure and into delivery
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Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of generative AI or machine learning
Bachelor’s degree, or 7+ years of professional or military experience
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5+ years of experience in the industry as a ML practitioner or executive
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Experience participating in the sales lifecycle (directly or indirectly)
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Experience in management consulting or related work
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Experience launching technically complex programs, projects, or related work that include the following: big data, analytics, artificial intelligence, and machine learning
PREFERRED QUALIFICATIONS
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Executive communication and written skills
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Participated in the product or solutions lifecycles (directly or indirectly)
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Experience with presenting to audiences of 5 to 50 people of various levels (developers to executives) and backgrounds (business, technical, operations)
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Passion for educating, designing, and building solutions for a diverse and challenging set of customers ranging from midsized organizations to Fortune 100 customers
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Advanced degree desired (e.g., MBA, MS)
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.
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
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.
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.
Generative AI Strategist, Generative AI Innovation Center employer: Amazon.com, Inc
Contact Detail:
Amazon.com, Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Strategist, Generative AI Innovation Center
✨Tip Number 1
Familiarize yourself with the latest trends in generative AI and machine learning. Being able to discuss these topics fluently will help you connect with both technologists and business leaders during interviews.
✨Tip Number 2
Network with professionals in the industry, especially those who work at AWS or similar companies. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to showcase your experience in driving complex sales opportunities. Be ready to share specific examples of how you've successfully navigated similar situations in the past.
✨Tip Number 4
Demonstrate your passion for educating others about generative AI and machine learning. Consider creating a presentation or workshop outline that you could share during the interview process to highlight your expertise.
We think you need these skills to ace Generative AI Strategist, Generative AI Innovation Center
Some tips for your application 🫡
Tailor Your Resume: Make sure to customize your resume to highlight your experience in machine learning, generative AI, and analytics. Use specific examples that demonstrate your ability to drive business value through technology.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of AWS's mission and how your background aligns with the role. Emphasize your experience in management consulting and your ability to communicate complex concepts to diverse audiences.
Highlight Relevant Experience: In your application, focus on your past roles where you engaged with customers to deliver technical solutions. Mention any workshops or presentations you've conducted that relate to generative AI or machine learning.
Showcase Soft Skills: Since this role requires effective interpersonal skills, be sure to mention your experience in collaborating with cross-functional teams and your ability to advocate for customer needs. Highlight any leadership roles or mentoring experiences.
How to prepare for a job interview at Amazon.com, Inc
✨Understand the Business Value of Generative AI
Make sure to articulate how generative AI can drive business outcomes. Be prepared to discuss specific examples where you've seen this in action, and how you can help customers leverage these technologies effectively.
✨Showcase Your Technical Knowledge
Demonstrate your understanding of machine learning, big data, and analytics. Be ready to explain complex concepts in a way that is accessible to both technical and non-technical stakeholders.
✨Engage with Real-World Scenarios
Prepare to discuss case studies or scenarios where you've successfully driven large sales opportunities or managed complex projects. Highlight your role in these situations and the impact of your contributions.
✨Communicate Effectively Across Teams
Since collaboration with various AWS teams is crucial, practice how you would communicate and align different stakeholders. Be ready to provide examples of how you've facilitated discussions between technologists and business leaders.