Senior BD Program and Partner Manager, Machine Learning, Startups and Venture Capital

Job summary
We have an exciting opportunity to join the startup machine learning specialist team and work with the top startups in the world as they build, innovate and push boundaries on AWS. If you have a passion for technology, AI/ML, and the ability to get stuff done— especially within the fast-paced, energetic startup ecosystem, then this is the role for you. In this position you will support the work of a global team of machine learning industry experts by bringing structure and scale to customer engagements, strategic initiatives, programs, events and marketing. You will be responsible for building mechanisms, delivering excellence in execution, tracking impact and driving data-based decisions. The successful candidate will need to be comfortable moving fast and at times navigating ambiguity.

Key job responsibilities
· Support execution of first and third party event initiatives from conception and planning to delivery and tracking
· Drive key marketing initiatives including opportunity identification, organizing content creation and editing, publishing across channels and promotion; coordinate social media amplification
· Participate in creation of strategic programs and take ownership for developing mechanisms and processes to iterate, improve and deliver at scale and force multiply team impact
· Work across global teams to align on core initiatives and shared resources
· Communicate with internal and external stakeholders to gather input and co-develop projects
· Translate feedback, identify gaps, participate in strategy development and team work

You will work closely with a passionate team of ex-founder/investor/CxO industry experts to force multiply their knowledge and reach. In diving deep into the unique challenges and opportunities of this industry, and the crucial role AWS plays in accelerating artificial intelligence and machine learning advances, you will help customers across their startup journey -- supporting them at scale with a breadth of resources, relationships, and programs.

About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten 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 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at 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 flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our 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.

Basic Qualifications

· BA or BS Degree or equivalent experience
· A functional understanding of the artificial intelligence and machine learning industry
· 5-10 years of relevant work experience
· 2-4 years experience working with or for (as a provider/partner) startups
· 2-4 years project management or related role

Preferred Qualifications

· Strong professional writing skills
· Prior experience working in a similar role and working environment
· Previous cloud sales/knowledge, understanding of the lifecycle and needs of startups
· Prior experience helping advance customers' business objectives beyond just selling them products or services
· Deep interest in technology and the startup and venture capital ecosystem
· Technical experience in machine learning, an understanding of the technology, its applications and capabilities, and an understanding of the AWS machine learning portfolio
· Excellent sales, presentation, and communication skills
· Excellent communication/interpersonal skills and able to professionally interact with customers
· Ability to learn quickly, be creative, and take initiative
· Self-reliant, adaptable, decisive, and professional
· Able to function in a team environment
· Preferred location is San Francisco - final location is flexible with access to a major airport for travel purposes


Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records