Job Information
Amazon Sr. Partner Development Specialist, Generative AI & Machine Learning, AMER Industries & Partner Solutions in Washington, District Of Columbia
Description
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.
Amazon Web Services (AWS) is looking for a world class Partner Development Specialist (PDS) to grow the AWS Generative Artificial Intelligence & Machine Learning (AI/ML) business through consulting System Integrator (SI) and Global System Integrator (GSI) partners in North America. In this role you will develop and execute go-to-market (GtM) strategies that enable AWS partners to build solutions, offerings, and new capabilities that meet the needs of their customers. This is a very exciting opportunity to work on the forefront of this exciting field alongside some of the most innovative companies in the world.
Activities include building and executing joint get-to-market and go-to-market plans, educating partners on our services, helping partners innovate with our services, and unblocking challenges that our partners face in realizing business growth. You will be responsible for driving top line revenue growth and overall market adoption of partner solutions and capabilities. You will also serve as an AI & machine learning subject matter expert aligned to support partner management teams.
You will drive successful partnership initiatives at scale, as well as use sales or business development techniques to drive GTM motions. You will think strategically about business, product, and technical challenges and dive deep into data to uncover business opportunities.
This role can be based in any Amazon US Office.
Key job responsibilities
• Execute GTM strategy to grow AWS Generative AI & Machine Learning business through consulting partners in North America.
• Support partners across different stages of their development including practice development, offering/solution development, enablement, and leveraging AWS programs.
• Drive partner revenue through regular pipeline, opportunity registration, and business reviews with partners to exceed annual goals.
• Engage with partner management, field sales, solution architecture, and end customers to create and drive revenue opportunities for AWS.
• Serve as an AI & Machine learning subject matter expert who advocates for AWS partner capabilities internally and externally.
• Exceed sales, business development, or alliance management goals against annual growth targets for technical products
• Work and communicate with multiple stakeholders and drive strategic plans across various teams including solution architecture, product management, partner management, and account management teams
• Define business goals and develop and execute go-to-market plans that exceed goals.
About the team
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.
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.
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.
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
• 7+ years of business development, sales, or alliance management experience in the software/technology industry
• 2+ years of experience growing AI & machine learning related services or products.
Preferred Qualifications
- - 10+ years of sales, business development, or alliance management experience in the software/technology industry
- - 5+ years of experience in the machine learning category
- - BS or MS degree in technical field
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $133,200/year in our lowest geographic market up to $220,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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