Snr Data & AI GTM Specialist, AWS Specialist & P-Industries
Amazon is hiring a Snr Data & AI GTM Specialist, AWS Specialist & P-Industries for a remote role open to applicants in Germany. Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include AWS, artificial intelligence and go to market.
- Level classifies it as a lead role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Senior Go-To-Market specialist driving data and AI transformation programs and cloud adoption for enterprise automotive and manufacturing customers.
Do you have the strategic vision and business acumen to shape multi-year AI transformation programs for the world's largest enterprises?
Do you thrive at the intersection of technology and complex business challenges?
Join AWS Specialists & Partners for Industries (ASPI) organization within the Data & AI Specialists team for Automotive & Manufacturing as a Senior Data & AI Go To Market Specialist, requiring exceptional non-formal leadership, cross-functional orchestration, and strategic impact at the most senior customer and AWS leadership levels.
The ASPI organization is responsible for driving revenue and accelerating adoption of cloud and partner services across our most strategic global customers. We work backwards from our customers’ most complex and business-critical challenges to develop and execute go-to-market plans that transform ideas into scalable, high-impact businesses. ASPI teams include business development specialists and specialized solution architects.
As part of ASPI, you will contribute across the full lifecycle of AWS customer initiatives – from shaping new service and solution concepts to accelerating adoption of established offerings. We pride
ourselves on thinking big, delivering exceptional customer outcomes, and collaborating seamlessly across AWS as #OneTeam
Key job responsibilities
In this role, you will define and drive the Data & AI go-to-market strategy for the most complex and strategically significant customers in the Automotive & Manufacturing industry.
You will work across the full AWS Analytics and Generative AI & ML services portfolio and partner ecosystem solutions to develop multi-year transformation roadmaps that deliver measurable business outcomes at enterprise scale.
You will engage directly with C-suite executives, Chief Data Officers, Chief AI Officers, and senior business leaders at strategic enterprise customers to influence their data and AI strategy.
As a Principal-level individual contributor, you will operate with significant autonomy, set direction for cross-functional teams without formal authority, and represent AWS in the most critical customer and partner discussions.
As the ideal candidate, you bring an exceptional combination of deep domain expertise in Data & AI technologies and world-class business development skills. You have a proven track record of building and executing complex, multi-year strategic programs that generate
significant pipeline and revenue.
You excel at leading through influence in highly matrixed
environments, orchestrating diverse teams of specialists, solution architects, account managers, partner organizations, and AWS leadership to deliver outcomes that no single individual could achieve alone.
About the team
Diverse Experiences
Amazon 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.
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.
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 and 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.
Basic qualifications
- Bachelor's degree
- Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
- Experience in Go-To-Market, Business Development, Sales, or Consulting
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience selling enterprise software or cloud-based applications
- Experience presenting to both technical and non-technical executive audiences
- Experience explaining complex technical concepts to various business and technical audiences
Preferred qualifications
- Experience interpreting data and making business recommendations
- Experience identifying, negotiating, and executing complex legal agreements
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
m/w/d
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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How we rate this
Snr Data & AI GTM Specialist, AWS Specialist & P-Industries at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where artificial intelligence was part of your work. What did you do?
- Tell me about a project where go to market was part of your work. What did you do?
- Tell me about a project where business development was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
- Tell me about a project where strategy was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Artificial Intelligence, Go To Market, Business Development, Cloud Computing, and Strategy. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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