Sr Sales Specialist Databases, Specialists Team Germany, Switzerland and CEE, Specialists Team Germany, Switzerland and CEE
Amazon is hiring a Sr Sales Specialist Databases, Specialists Team Germany, Switzerland and CEE, Specialists Team Germany, Switzerland and CEE in Munich, Germany. Level rates it ; you can apply on Amazon.
Level's read on this job
- Little AI ●○○○ is how Level rates this sales role: aI is not part of the work.
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AI in this role
Key job responsibilities
Own the end-to-end database conversation from commercial database migration (Oracle, SQL Server, DB2), to open-source conversion (PostgreSQL, MySQL), to purpose-built non-relational databases (key-value, document, graph, in-memory, time-series).
Drive Database GTM strategy.
Define and execute account-level go-to-market plans for AWS database technologies, leveraging the broader AWS sales team and partner ecosystem.
Be the domain authority. Act as the primary Database specialist within your accounts, leading all customer engagements related to database platform
strategy, migration planning, and workload modernization.
Bridge technical and business stakeholders. Translate complex database migration risks, TCO models, and architectural trade-offs into compelling business narratives for Line of Business and C-suite leaders.
Commercial database conversions.
Help customers reduce dependency on expensive commercial database licenses by identifying migration paths, proving out open-source alternatives, and demonstrating the value of purpose-built databases for specific workload patterns.
Build and innovate. Co-develop GTM motions for new product launches and contribute customer insights directly to AWS product teams to influence the database services roadmap.
Leverage the partner ecosystem. Collaborate with database-focused partners and global/regional system integrators to design and deliver database migration and modernization
programs at scale.
A day in the life
The Database Specialist Team is composed of deep domain experts embedded within account teams across Germany. We work at the intersection of technology and business helping customers think big about their data strategy and delivering the specialized expertise needed to make it real. We are responsible for account planning, opportunity identification, and pursuit. We stay closely connected to our customers and bring valuable field insights back to our product teams, directly strengthening the AWS database roadmap. Our team thrives when customers are ready to migrate and modernize their most critical database workloads.
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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
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 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
- Experience in direct sales or business development in software, cloud or SaaS markets selling to C-level executives
- Technology expertise and hands-on experience in the database domain, with demonstrated understanding of commercial databases (Oracle, SQL Server), open-source
- databases (PostgreSQL, MySQL), and/or non-relational databases (document, key-value, graph)
- Proven ability to engage credibly with both technical practitioners (DBAs, infrastructure engineers, application developers) and business decision-makers (LOB leaders, C-suite)
- Understanding of the overall data & AI system landscapes at customers
Preferred qualifications
- Experience in positioning and selling technology to new customers and new market segments
- Experience in identifying, developing, negotiating, and closing large-scale technology deals
- Experience developing detailed go to market plans
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.
How we rate this
Sr Sales Specialist Databases, Specialists Team Germany, Switzerland and CEE, Specialists Team Germany, Switzerland and CEE at Amazon rates 24 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● 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.
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- $139k
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