Are you energized by the potential for Artificial Intelligence, Machine and Deep Learning applications? Are you passionate about working with entrepreneurs, startups, accelerators, incubators and venture capital firms? The AWS Startup Business Development Team is seeking an expert in the field of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) to help define, build and deploy our strategy for ensuring broad adoption of the AWS machine learning platform amongst the world's startups.
If you love startups, artificial intelligence, and growing a business, this is the role for you.
As an AI/ML Business Development Manager, your role is three-fold: product feedback, strategic initiatives, and scalable growth. You will work closely with the AWS ML product and business development teams, as well as sales, solution architect, partner and marketing teams to promote and provide guidance on the value proposition of the AWS ML platform to startups, venture capital and angel investors, accelerators and incubators. You will be responsible for building strategic programs and mechanisms for identifying and engaging with target startups, developing and managing relationships with key venture capital investors, startup organizations and startups, and operating as an AI/ML subject matter expert for the entire AWS Startup Business Development team in its pursuit of getting and keeping the best startups in the world on AWS.
The ideal candidate will possess a business and machine learning/data analytics background, and a foundation of having directly driven customer engagement and interactions at the highest levels of startups and their backers (VCs, accelerators, incubators). The candidate will have the technical depth and business experience to easily communicate the benefits of ML, platforms and frameworks in the AWS cloud to IT architects, engineering teams, C-level executives and venture capitalists. The ideal candidate will have a demonstrated ability to think strategically and long-term about the needs of startups.
Roles & Responsibilities:
Continuously assessing and analyzing the market landscape and opportunity for the AWS ML platform.
Developing mechanisms for continuous identification and prioritization of startups to target for AWS ML platform adoption, and developing and owning metrics and goals relating to startup adoption of the AWS ML platform.
Conceiving, developing, and launching scalable campaigns, initiatives, programs, and mechanisms for engaging with, educating, and guiding startups on how to build their business utilizing the AWS ML platform.
Developing and managing relationships with key startup influencers within the AI/ML ecosystem, including venture capital and angel investors, accelerators, incubators, and other industry organizations.
Producing AI/ML thought leadership and educational content, workshops, and events for the startup ecosystem.
Discovering, capturing, and reporting learnings from the field about customer and AWS challenges and opportunities as they relate to the AWS ML platform.
Collaborating with generalist colleagues across the Startup Business Development team to better serve the AI/ML needs of startup customers, and engaging in senior-level customer meetings to discuss customer business challenges and explore how the AWS ML platform can help address those challenges.
Informing, influencing, and contributing to the work of other colleagues across AWS and Amazon including sales, marketing, business development, compliance, security, and product, marketing, sales and business development teams around the AWS ML platform.
Serving as an evangelist and subject matter expert for the AWS ML platform within AWS and externally.
Preparing and giving business reviews to the senior management team regarding progress and metrics to growing startup adoption of the AWS ML platform.