Account Manager, AI/ML Startups

Description Would you like to work with the most exciting, innovative machine learning (ML) startups in the US? Are you passionate about Artificial Intelligence, Machine Learning and Deep Learning? Amazon Web Services (AWS) offers a complete set of cloud services that enable all companies, from startups to enterprises, to run virtually everything in the cloud, including mobile applications, big data analytics, AI/ML platforms, and microservices/serverless infrastructures. Startups, which are primarily born-in-the-cloud now, represent a critically important and growing subset of customers to AWS. Startups have unique needs, priorities, and growth trajectories that distinguish them from traditional businesses and require different engagement strategies and sales motions from seller teams to effectively acquire, grow, and retain them on the AWS platform. Key job responsibilities The Account Manager will be a key member of the team responsible for providing business leadership and creative direction working with strategic AI startups. You will build and maintain broad relationships in the account, develop and manage opportunities, and lead a large team of extended resources. You will define an executive relationship strategy within the account, including building a strong working relationship with the AWS senior leadership team. You will be at the heart of the latest trends in artificial intelligence (AI), machine learning (ML), serverless and IoT. Your customers will be some of the most advanced customers in the ML field at every stage of AWS adoption, who leverage state-of-the-art technologies on AWS to innovate and become the next disrupters. Roles & Responsibilities: Ensure customer success with early, mid and late stage AI/ML startups Drive revenue and market share while meeting/exceeding quarterly goals Develop and execute against a comprehensive account/territory plan. Create & articulate compelling value propositions around AWS services. Accelerate customer adoption by engaging Founders, CxO, Board of Directors and VC influencers Work with partners to extend reach & drive adoption. Develop long-term strategic relationships with key accounts. Ensure customer satisfaction. Expect moderate travel. 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 5+ years of full sales cycle, technology sales or equivalent business development, sales engineering/consulting or equivalent experience 1+ year working with AI/ML technologies and demonstrated understanding of AI/ML Knowledge of core cloud computing concepts Proven track record of exceeding revenue targets Bachelor's degree or equivalent Preferred Qualifications Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent AI/ML Certifications Deep understanding of the AI/ML space Experience with AWS technologies like SageMaker, Redshift, S3, EC2, Data Pipeline, Kinesis & EMR A technical background in engineering, data science or computer science History of working for, or selling to AI/ML tech startups 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $83,100/year in our lowest geographic market up to $177,800/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. This position is eligible for variable pay via a sales compensation plan. These plans pay according to achievement level against sales targets and/or business objectives. 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.