Job description

Amazon Web Services (AWS) is looking for an experienced and motivated senior business-oriented technologist who possesses a unique balance of startup ecosystem knowledge, effective interpersonal skills, and technological depth in the following areas: analytics/big data, machine learning, and generative artificial intelligence. This senior role will focus on supporting startup customers looking to accelerate their growth, achieve product-market fit, or enhance their business outcomes through the use of advanced and emerging generative AI technologies. 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 About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. - 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 - 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 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit amazon.jobs for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. 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 amazon.jobs . USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually

Requirements

Must-haves

Key job responsibilities
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
About the team
Diverse Experiences
Inclusive Team Culture
Mentorship & Career Growth
Work/Life Balance
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
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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually

Nice-to-haves

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Application prep

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Keywords to mirror

awsmachine learningaigoml

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave