You will partner with startup founders, CTOs, venture capital firms, AWS Startup Sales, AWS service teams, AWS industry teams, and AWS Professional Services delivery teams to craft startup-specific programs that address the unique constraints and opportunities of high-growth companies - speed to market, capital efficiency, and scalable architecture from day one. You will extend successful patterns across the startup portfolio and into adjacent segments.
You will leverage and refine a programmatic approach to help startup customers drive their business metrics across a set of startup-specific needs including inference cost optimization, rapid prototyping, go-to-market acceleration, and investor-ready AI roadmaps. As a trusted senior startup advocate, the Senior GenAI Startup Strategist will assess and deliver best practices around program delivery, lean project approaches, and business measurement tailored to the pace and resource profile of startups. The ability to connect business value to a scalable, repeatable, extensible approach - while respecting the speed and agility startups demand - is critical to this senior role.
Key job responsibilities
- Bring alignment between startup founders, technical leaders, and business stakeholders; help them explore the art of the possible with generative AI and machine learning, and develop a roadmap to deliver business value with startup-appropriate speed and capital efficiency
- Serve as a senior thought leader within the team, mentoring junior strategists and shaping the overall startup engagement methodology
- Discuss complex AI/ML business concepts with startup executives, VCs, and technical founders across stages from seed to growth
- Engage with various AWS teams, including applied scientists, solutions architects, business development, marketing, startup specialists, partners, and regional organizations
- Drive strategic engagements with high-potential startups from ideation, through vision building and scoping, all the way to closure and into delivery
- Identify repeatable generative AI patterns across the startup portfolio and codify them into scalable programs and frameworks
- Conduct workshop sessions with startup customers to identify opportunities for delivering business value through generative AI or machine learning, with an emphasis on rapid time-to-value
- Build relationships with the VC and accelerator ecosystem to source and support AI-native startups on AWS
BASIC QUALIFICATIONS
- 7+ years of cloud architecture and solution implementation experience
- 6+ years of scientists or machine learning engineers management experience
- Experience working in or supporting sales, with preference for startup or high-growth company contexts
- Experience launching technical programs, projects, or related work that include the following: big data, analytics, artificial intelligence, and machine learning
PREFERRED QUALIFICATIONS
- Experience communicating technical concepts to diverse audiences in pre-sales environments
- Experience presenting to both technical and non-technical executive audiences
- Direct experience working at, advising, or investing in startups - particularly AI-native or ML-first companies
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually
