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 LATAMWould you like to lead the GenAI strategy for the Latin America Startup team at AWS? Do you have the technical insight, business savvy, and relationship development skills, to interact with the startup ecosystem to help further establish Amazon as the leader in GenAI?We are looking for a teammate to lead our GenAI strategy in Latin America. This role will interact with the Startup team that is comprised of startup founders/operators who champion and work alongside the world's best startups and investors in ML, artificial intelligence (AI), and data science. 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.**Roles & Responsibilities**:- Identifying and engaging the founders/leaders of newly founded and venture-backed GenAI 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.- Acting as the voice of the startup customer by discovering, capturing, and reporting back patterns and learnings from the field about opportunities as they relate to GenAI.- Developing and holding relationships with key influencers in the startup ecosystem focused on GenAI (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 colleagues across the global Startup Business Development, Marketing and Sales teams to better serve the needs of customers leveraging GenAI technologies.- Informing, influencing, and contributing to the work of other GenAI-related colleagues across AWS and Amazon including sales, marketing, business development, solutions architecture and product teams. Contributing to the development of our GenAI strategy.- Conceiving, authoring, securing support for, launching and executing new initiatives and programs to meet the needs of startup customers as they relate to GenAI.A day in the lifeInclusive Team CultureAt AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn't about how many hours you spend at home or work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexible working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.Santiago, RM, CHL- 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
