Amazon AI/ML Startups Business Development Manager Startup VC BD 

United States, California, San Francisco 

110578498

AWS Startups is responsible for driving revenue, adoption, and growth from pre-seed all the way through Series D venture backed startups, including the fastest growing foundation model, ML workflow, and generative AI applications startups. You partner with account manager, solution architects, venture-firm partner leaders (VC BD), to earn trust with founders who rely on AWS to provide the best solutions, strategic advice, and go to market support of any cloud platform.Startups, which are now primarily born-in-the-cloud, 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 sellers to effectively acquire, grow, and retain them long-term on AWS.
Key job responsibilities* Engage with startup founders in a manner which builds authentic trust and proves our AWS value of 'customer obsession'
* Track core ecosystem trends in generative AI and map these to AWS capabilities, events, workshops, and partners that drive value for prospective customers.
* Built strategic partnership and GTM (go to market) plans which highlight immediate customer value and long term product strategy for AWS.
* Work backwards from the needs of AIML startups to build programmatic mechanisms of support to address these needs.
* Act as a key evangelist in AIML ecosystems, leading events, and speaking at industry conferences.
* Partner with our VC BD teams to develop and manage relationships with top specialist investors in Silicon Valley and North America to advise them about how AWS can help their companies scale and grow by leveraging AWS services and go-to-market programs.* Work with and advise account management teams on AIML emerging trends, use of AWS solutions for AIML use cases, and establishing executive relationships in their accounts.A day in the life1) identify their technical and commercial challenges/opportunities

- Degree or equivalent experience in Computer Science or Engineering, ideally with a focus on ML or a related field
- Previous founder/CxO/operator of one or more ventures that involved data science, machine learning, or artificial intelligence
- Publications in peer-reviewed conferences or journals
- Speaking engagements at ML conferences and industry eventsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.