Application deadline: Aug 29, 2026

As a Generative AI and ML Sales Specialist, you will be at the forefront of driving adoption and revenue growth for AWS's Generative AI and ML services. Your role will involve identifying high-value customer opportunities within a specific territory and engaging with AWS customers to understand their needs and align them with AWS Generative AI and ML solutions. You will leverage your consultative expertise to become a trusted advisor, guiding customers in embedding and deploying AWS Generative AI and ML solutions to unlock new value streams and solve key business problems. With a passion for developing high-potential opportunities and executing effective strategies, you will own the full-cycle sales engagement plan, from identifying qualified leads to realizing revenue. You will understand a customer's business initiatives, help craft account plan to achieve those initiatives, identify and drive opportunity win plans to enabling those business initiatives, and ensure successful launch to realize both customer vision and AWS revenue. You will earn trust with Line of Business, Data Science, and IT personas. You will understand detailed business drivers in your forecast and intentionally work the best opportunities that maximize your ability to hit revenue goals.

You will maintain an in-depth knowledge of AWS's Generative AI and ML services and relevant cross-functional areas to build strong relationships with customers. By driving the adoption of cutting-edge Generative AI and ML technologies, you will play a pivotal role in propelling AWS's revenue growth while helping customers stay ahead of the curve in a rapidly evolving technological landscape. You exercise learn & be curious to articulate AWS' Generative AI and ML strategy and the services we offer to accelerate these workloads. You conduct compelling executive conversations on the transformational possibilities of Generative AI and ML, while also being capable of helping our customers navigate which services to evaluate for their use-cases. You can describe the "why" and "what" of Generative AI and ML use case and technical solutions at a 200-level, with the detailed "how" being provided by solution architects.

Key job responsibilities
• Accelerate customer adoption by defining and implementing tech domain specific GTM strategies within your assigned accounts and technology domain. Your strategies will leverage AWS Sales and our partner ecosystem.
• Ideate with Line of Business and C-suite leaders, building trust with your deep technical expertise, and following through to help solve their most compelling business problems.
• Act as the front line within your accounts for all specialist customer engagement in your tech domain.
• Create & articulate compelling value propositions that address specific needs of your customers.
• Build and innovate: Co-Develop GTM motions on new product launches and work with product teams on the creation of innovative new services.
• Partner with the world's biggest system integrators to deliver on customer projects.
• Spearhead market expansion by pinpointing new customer segments and Generative AI and ML use cases
• Collaborate cross-functionally to continuously strengthen AWS's Generative AI and ML value proposition
• Gather voice-of-customer insights to inform product roadmaps and enhance the customer experience
• Drive conversations to build credibility and earn trust with the account teams and customers.
• Drive sales efforts spanning multiple lines of business with decision-making authority and budget ownership.
• Engage systems integrators and closely collaborate with AWS partners to deliver maximum customer value
• Develop and deliver compelling ROI to drive adoption of AWS Generative AI and ML solutions

A day in the life

You're surrounded by innovation. You're empowered with a lot of ownership. Your growth is accelerated. The work is challenging. You have a voice here and are encouraged to use it. Your experience and career development is in your hands. We live our leadership principles every day. At Amazon, it's always "Day 1".

BASIC QUALIFICATIONS

- 7+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience

- 5+ years of business development, partner development, sales or alliances management experience

- 3+ years of sales experience

PREFERRED QUALIFICATIONS

- Experience developing detailed go to market plans

- Experience proactively growing customer relationships within an account while expanding their understanding of the customer's business

- Experience identifying, developing, negotiating, and closing large-scale technology projects for global customers

- Experience in direct sales or business development in software, cloud or SaaS markets selling to C-level executives

- • Experience in engineering, computer science, or MIS

- • AIML degree / certifications

The base salary range for this position is listed below. Your Amazon package will include sign-on payments, restricted stock units (RSUs), and sales incentives. 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, AZ, TEMPE - 142,800.00 - 193,200.00 USD annually

USA, CA, Irvine - 142,800.00 - 193,200.00 USD annually

USA, CA, San Diego - 142,800.00 - 193,200.00 USD annually

USA, CA, San Francisco - 157,100.00 - 212,600.00 USD annually

USA, CA, Santa Clara - 157,100.00 - 212,600.00 USD annually

USA, CA, Santa Monica - 142,800.00 - 193,200.00 USD annually

USA, CO, Denver - 142,800.00 - 193,200.00 USD annually

USA, TX, Austin - 142,800.00 - 193,200.00 USD annually

USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually