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Senior AI Specialist Sales, Data and AI, Specialist Team
필수 스킬
AWS
Would you like to be part of a team shaping the future of the IT industry through responsible and innovative use of Artificial Intelligence? AWS seeks a Senior AI Specialist Sales professional to drive adoption of AWS's full stack AI services across Australia.
Amazon Web Services (AWS) is advancing the next evolution of AI adoption. We are seeking a Senior AI Sales Specialist who brings strong technical AI knowledge together with a customer-centric, outcomes-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 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.
Ability to engage with CEO/LOB owners for strategic conversations to leverage AI for business transformation, as well as with CTO/CAIO for AI-implementation linked technical architecture conversations. AI specialist solution architects will support technical deep dives.
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 autonomous AI agents, we are expanding our team of technical sales professionals who can identify opportunities, build sustainable pipelines, and guide customers through complex AI adoption journeys across the Asia Pacific Japan (APJ) region (or ASEAN / country-specific, as applicable).
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 agreement
- Create thoughtful 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
- Technical Sales & Solution Advisory
- Act as a trusted advisor on AWS GenAI and Agentic 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
- Engage C-suite executives to drive AWS AI services adoption: CEOs (business transformation), CTOs/CAIOs (technical architecture), CFOs (ROI models), line of business owners (use cases). Lead AI-focussed Executive Briefing Centers, board presentations, and strategic planning workshops.”
Basic Qualifications
- Experience communicating technical concepts and processes using clear, simple language and visuals
- 7+ years of experience in technology roles, including technical or solution-oriented sales, with a demonstrated history of contributing to revenue goals
- Experience supporting complex, multi-stakeholder sales engagements and managing pipelines with a focus on accuracy and transparency
Preferred Qualifications
- Experience developing, deploying and managing AI products at scale
- Bachelor's degree in computer science, machine learning, engineering, or related fields, or Master's degree
- Experience working with Generative AI technologies, including foundation models, LLMs, or autonomous agent frameworks
- Familiarity with prompt engineering, retrieval-augmented generation (RAG) architectures, fine-tuning techniques, and AI deployment patterns
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 소개

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
10개 리뷰
3.4
10개 리뷰
워라밸
2.5
보상
4.2
문화
3.0
커리어
3.8
경영진
2.7
65%
지인 추천률
장점
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
단점
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
연봉 정보
4개 데이터
L2
L6
M3
M4
M5
M6
L3
L4
L5
L2 · Sales L2
0개 리포트
$183,390
총 연봉
기본급
$73,356
주식
$91,695
보너스
$18,339
$128,373
$238,407
면접 후기
후기 6개
난이도
4.0
/ 5
소요 기간
21-35주
경험
긍정 0%
보통 17%
부정 83%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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