Amazon Web Services
Account Manager, AI/ML Startups
Job Description
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
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
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations:
San Francisco, CA, USA | San Jose, CA, USA | Santa Clara, CA, USA
We are open to hiring candidates to work out of one of the following locations:
San Francisco, CA, USA
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.
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 $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.
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