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Amazon Sr. Partner Development Specialist, Generative AI & Machine Learning in Boston, Massachusetts

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 AI & Machine Learning business through consulting (SI/GSI) and technology (ISV) partners in North America. In this role you will develop and execute global 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 global partner strategies with internal specialist and service teams, getting feedback from 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 measuring the success of the strategies and overall market adoption of partner solutions and capabilities. You will also serve as an AI & machine learning subject matter expert aligned to support broader internal teams.

The ideal candidate will have experience developing, communicating and driving successful partnership initiatives at scale as well as a sales or business development background with demonstrated experience driving GTM motions. The ideal candidate possesses a demonstrated ability to think strategically about business, product, and technical challenges and a strong ability to dive deep into data to uncover business opportunities. Working knowledge of and experience in the AI & machine learning category is required. Role can be based out of any Amazon office in the US.

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Key job responsibilities

• Develop global strategies to grow AWS Generative AI & Machine Learning business through consulting partners and technology partners.

• Communicate partner feedback to internal teams from different stages of their development including practice development, offering/solution development, enablement, and leveraging AWS programs.

• Develop and report on insights from revenue, opportunity registration, and business reviews with partners to exceed annual goals.

• Engage with senior members at partners and internally in written and verbal communications.

• Serve as an AI & Machine learning subject matter expert who advocates for AWS partner capabilities internally and externally.

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.

  • 5+ years demonstrated experience defining business goals and key strategies in hyper growth areas.

  • 5+ years demonstrated ability to exceed sales, business development, or alliance management goals against annual growth targets for technical products

  • 5+ years demonstrated experience working and communicating with multiple stakeholders and driving strategic plans across various teams including solution architecture, product management, partner management, and account management teams

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.

Pursuant to the San Francisco 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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