Principal Ml Bd, Aws Startups

3 weeks ago

London, United Kingdom AWS EMEA SARL (UK Branch) Full time

15+ years of ML business experience
- 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
- Strong verbal and written communications skills
- Willingness to travel within EMEA

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.

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.
- 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.
- 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
- 10+ 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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