招聘

Sr. Worldwide Partner Specialist, GenAI - Bedrock, Data & AI GTM
San Francisco, CA, USA
·
On-site
·
Full-time
·
2d ago
Amazon Web Services (AWS) is seeking a top-tier Partner Development Specialist to drive growth in our Amazon Bedrock business through strategic partnerships. As part of the Worldwide Data & AI GTM team, you will be responsible for developing and executing go-to-market strategies that accelerate the adoption of Amazon Bedrock — AWS's fully managed service for building and scaling generative AI applications using foundation models — across our customer segments via consulting (SI/GSI) and technology (ISV) partners.
You will work closely with partners to build Bedrock-powered solutions that leverage model access, Guardrails, Knowledge Bases, Agents, and fine-tuning capabilities, positioning AWS as the choice for enterprise generative AI workloads.
This role requires a unique blend of strategic thinking, technical depth in generative AI architectures, and business development acumen. You will help partners understand and capitalize on the Bedrock value proposition — including its broad selection of industry-leading foundation models, built-in safety and governance controls, and seamless integration with the AWS ecosystem for retrieval-augmented generation, agentic workflows, and custom model development.
The ideal candidate will have experience creating, communicating, and driving successful partnership strategies at scale, ideally with a background in sales or business development within the AI/ML or cloud infrastructure space. You should possess a demonstrated ability to think strategically about business, product, and technical challenges — particularly around emerging generative AI patterns — and leverage data to uncover opportunities for Bedrock adoption and partner-led revenue growth.
- Key job responsibilities
- Lead the development and execution of AIML go-to-market strategies for partners
- Collaborate closely with Partner, Customer Success, Marketing, and Product teams to drive comprehensive partnership initiatives
- Create scalable programs and deliver insightful business reviews to unblock partner challenges and drive growth
- Develop operational planning documents and serve as an AIML subject matter expert supporting broader internal teams
About the team
The AWS Data and AI Partner GTM team accelerates growth through our biggest bets and amplifying our most impactful partners. We focus on partners with the highest potential for impact, investing in key ISVs, systems integrators, and high-potential startups who can accelerate adoption of strategic AWS services and initiatives. Through technical leadership, partner channel experience, and go-to-market expertise, we create repeatable models that empower both our partners and AWS field teams to accelerate service adoption and deliver customer outcomes.
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
- 6+ years of developing, negotiating and executing business agreements experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- Familiarity with AWS Partner Network (APN) programs, competency frameworks, or marketplace listings
Preferred Qualifications
- Experience interpreting data and making business recommendations
- Familiarity with agentic AI frameworks and patterns (e.g., multi-agent orchestration, tool-use, RAG, memory/state management)
- Working knowledge of AWS AI/ML services, particularly Amazon Bedrock, Sage Maker, and related infrastructure
- Understanding of LLM-based application architectures including agent runtimes, guardrails, and identity/access patterns
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 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.
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, Mountain View - 162,700.00 - 220,200.00 USD annually
USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually
USA, NY, New York - 162,700.00 - 220,200.00 USD annually
USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually
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关于Amazon

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+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
3.4
10条评价
工作生活平衡
2.3
薪酬
4.2
企业文化
3.1
职业发展
3.8
管理层
2.7
65%
推荐给朋友
优点
Great benefits and competitive compensation
Learning opportunities and career advancement
Good teamwork and colleagues
缺点
High pressure and long hours
Poor work-life balance
Toxic work culture and high turnover
薪资范围
4个数据点
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0份报告
$108,330
年薪总额
基本工资
$43,332
股票
$54,165
奖金
$10,833
$75,831
$140,829
面试经验
6次面试
难度
4.0
/ 5
时长
21-35周
体验
正面 0%
中性 17%
负面 83%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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