Would you like to work with the most exciting, innovative machine learning (ML) startups in EMEA? Do you have the technical insight, business savvy, and relationship development skills, to mesh with the ML startup ecosystem to help further establish Amazon as the leader in the cloud computing?
We’re expanding our efforts to help startups better take advantage of AWS capabilities in data science, ML, and artificial intelligence (AI) and are looking for a teammate to join our specialist ML Business Development team to lead efforts in EMEA. The team is comprised of startup founders/operators who champion and work alongside the world’s best startups, investors and industry associations. We do what is in our power to accelerate their engineering and commercial efforts from inception to IPO, leveraging our people, technology, knowledge, programs, and relationships within and outside Amazon.
The ideal candidate will possess both a business background that enables them to drive engagements and interact at the CxO/General Partner level, as well as sufficient technical knowledge that enables them to comfortably and effectively interact with CTOs, software developers, and architects. This individual will have the exciting opportunity to create and deliver a strategy to drive AWS ML startup strategy in EMEA, which includes working one-on-one with startups, launching scalable programs, and being a lynchpin within the ML ecosystem. They should also have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to build and convey compelling value propositions and work cross-organizationally to build consensus. You’ll be expected to execute in the face of ambiguity, shifting priorities, and limited resources. Competency in cloud computing will be required for ongoing success – as is a keen sense of ownership, curiosity, scrappiness, and drive.
Key job responsibilities
– Identifying and engaging the founders/leaders of newly founded and venture-backed ML startups to 1) identify their technical and commercial challenges/opportunities 2) map those needs onto people, technology, knowledge, programs, relationships across Amazon that could potentially help and 3) mobilize those assets to work on behalf of these startup customers.
– Discovering, capturing and reporting back patterns and learnings from the field about challenges and opportunities as they relate to AI/ML.
– Developing and holding relationships with key influencers in the startup ecosystem focused on AI/ML (e.g., venture funds, accelerators, university labs and programs). Activities include putting Amazon assets to work on behalf of their portfolio companies, driving customer and partner relationships for the portfolio, jointly producing thought leadership and educational events and/or the broader startup ecosystem.
– Collaborating with generalist colleagues across the global Startup Business Development team to better serve the needs of customers leveraging AI/ML technologies at all stages of startup life from conception to exit.
– Producing AI/ML thought leadership and technical-leaning content, workshops, and events for the startup ecosystem. Serving as a technical evangelist and AI/ML subject matter expert within AWS and externally.
– Informing, influencing, and contributing to the work of other AI/ML-related colleagues across AWS and Amazon including sales, marketing, business development, solutions architecture and product teams. Contributing to the development of our AI/ML strategy.
– Conceiving, authoring, securing support for, launching and executing new initiatives and programs to meet the needs of startup customers as they relate to AI/ML.
We are open to hiring candidates to work out of one of the following locations:
Courbevoie, FRA
BASIC QUALIFICATIONS
– Strong experience of Machine Learning business
– 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
– Proven ability to execute as an individual contributor in the face of ambiguity, shifting priorities, and limited resources
– Hands-on experience with machine learning algorithms, model development, common frameworks, workflow tools, and applied AI (e.g., CV, NLP).
– 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
PREFERRED QUALIFICATIONS
– Degree in Computer Science, ideally with a focus on ML or a related field
– Exited founder/CxO/operator of one or more ventures that involved data science, machine learning, or artificial intelligence
– Some years of customer-facing ML business experience
– Publications in peer-reviewed conferences or journals
– Speaking engagements at ML conferences and industry events
– AWS SA Associate or equivalent certification
– AWS ML Specialist or equivalent certification
– Software development experience (Python preferred)
– Experience working effectively and cross-functionally within a large organization
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