Senior AI Sales Specialist (AWS)

Amazon; Auckland; On-site; NZD 90,000 - 130,000; Full time

Job summary

Amazon Web Services New Zealand Limited is seeking a Senior AI Sales Specialist who combines strong technical AI knowledge with a customer-centric, outcome-focused approach to revenue growth.

You will partner with customers to translate AI capabilities into business value and lead end-to-end sales cycles, helping scale AI adoption across New Zealand clients while shaping a high-growth AWS AI solutions pipeline.

Qualifications

• 7+ years in technology sales or AI-focused sales.
• Experience presenting complex AI concepts to executives.
• Experience with sales pipelines and forecasting.

Responsibilities

• Support achievement of sales targets by developing a healthy pipeline and guiding customers through end-to-end sales cycles.
• Lead technical discovery sessions and contribute to demonstrations and solution design for AI adoption.
• Build long-term customer relationships and share insights with AWS AI product teams.

Skills

AI sales

Account planning

CRM tools

Stakeholder mgmt

Education

Bachelor's degree in CS/ML

Job description

Job ID: 10538445 | Amazon Web Services New Zealand Limited

Would you like to be part of a team shaping the future of the IT industry through responsible and innovative use of Artificial Intelligence? Amazon Web Services (AWS) is advancing the next evolution of cloud computing with AI technologies. We are seeking a Senior AI Sales Specialist who brings strong technical AI knowledge together with a customer-centric, outcome-focused approach to revenue growth.

This role partners closely with customers to understand their goals, translate complex AI capabilities into clear business value, and support successful AI adoption at scale. If you enjoy collaborating with diverse stakeholders, communicating technical concepts with clarity, and contributing to long-term customer success, we encourage you to apply.

AWS Global Sales supports customers of all sizes across the region to innovate and grow in the cloud. As organizations increasingly adopt foundation models, large language models (LLMs), and agentic AI, we are expanding our team of sales professionals. We are seeking professionals who can help customers identify and prioritize AI use cases to create AWS opportunities, build sustainable pipelines, and guide customers through complex AI adoption journeys.

Key job responsibilities

Sales & Revenue Contribution

• - Support the achievement of sales targets by developing and maintaining a healthy pipeline and guiding customers through end-to-end sales cycles, from discovery through to agreement;


• - Create detailed account plans and territory strategies in partnership with internal teams, while maintaining accurate forecasting using CRM tools;


• - Collaborate with customers to identify and qualify high-impact AI use cases aligned to their business priorities and strategic objectives.

Sales & Solution Advisory

• - Act as a trusted advisor on AWS AI services, helping customers understand potential outcomes, value, and return on investment;


• - Lead technical discovery sessions and contribute to demonstrations, proofs of concept, and solution design, including model selection, fine-tuning, and deployment approaches;


• - Provide guidance on model evaluation, responsible AI practices, governance considerations, and relevant compliance requirements.

Customer Engagement & Market Development

• - Build and maintain strong relationships with decision-makers and executive stakeholders through a consultative, collaborative approach;


• - Partner with internal teams to deliver workshops, enablement sessions, and solution reviews that support customer learning and adoption;


• - Share customer insights and feedback with AWS AI product teams to help inform product direction and improvements.

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.

Basic Qualifications

• - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders


• - 7+ years of technology role experience


• - Experience in setting up and managing a sales pipeline

Preferred Qualifications

• - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience in machine learning, data mining, information retrieval, statistics or natural language processing


• - Experience developing, deploying and managing AI products at scale


• - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware


• - Bachelor's degree in computer science, machine learning, engineering, or related fields, or Master's degree

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.