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As an AI/ML Business Development Manager at Amazon, you will play a critical role in shaping the strategy to build mindshare and broaden the use of Amazon's Generative AI product suite with venture-backed AI/ML startups in North America and globally.
Key Responsibilities- Engage with startup founders to build authentic trust and prove 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
- Build strategic partnership and GTM plans which highlight immediate customer value and long-term product strategy for AWS
- Work backwards from the needs of AI/ML startups to build programmatic mechanisms of support to address these needs
- Act as a key evangelist in AI/ML 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
- Execute the strategic AI/ML business development plan while working with key internal stakeholders (e.g., services teams, marketing, legal, customer support, sales, etc.)
- Work with and advise account management teams on AI/ML emerging trends, use of AWS solutions for AI/ML use cases, and establishing executive relationships in their accounts
The AI/ML BD team at AWS is made up of former CxO/cofounders and ML engineers who are motivated by the idea of partnering with great founders in building transformational AI products.
Requirements- Hands-on experience with machine learning algorithms, model development, common frameworks, workflow tools, and applied AI (e.g., CV, NLP)
- Proven ability to build trust and manage relationships with the C-level leadership of startups, managing directors of investor organizations, and other key influencers in the startup ecosystem
- Knowledge of core cloud computing concepts and ability to go deep enough on technical aspects to differentiate among various AWS services, as well as top use cases for popular startup industries
- 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 events