A
Sr. Worldwide GTM Specialist - Analytics, Open Data Architecture, Data & AI GTM
Amazon
- Location
- Onsite (Seattle, Washington · Arlington, Virginia · New York, New York · Mountain View, California · San Francisco, California)
- Compensation
- $147k - $220k/yr
- Employment
- Full-time
- Level
- Senior Level
Posted 2 days ago
About the Role
Join AWS as a Senior Worldwide GTM Specialist to drive the adoption of open data architectures and interoperable analytics patterns. This role focuses on scaling GTM strategies and customer engagement models globally within the dynamic cloud computing environment.
Skills
Go-To-Market Strategy
Data & AI Technologies
Apache Iceberg
Open Table Formats
Cloud Computing
Enterprise Software Sales
Cross-functional Leadership
Technical Positioning
Business Development
Modern Analytics Architecture
Program Management
Executive Presentation
Market Analysis
Customer Engagement Models
Field Enablement
Strategic Thinking
Benefits
- Health Insurance
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Prescription Insurance
- Life Insurance
- 401(k) Matching
- Paid Time Off
- Parental Leave
Perks
- Sign-on Payments
- Restricted Stock Units
Full job details
The AWS Analytics GTM team is seeking a Senior Worldwide GTM Specialist to help accelerate adoption of open data architectures on AWS. This role will focus on driving strategic GTM initiatives that position AWS as a foundational platform for interoperable, multi-engine data and AI architectures built on open table formats such as Apache Iceberg, with AWS analytics services serving as key components of these modern architectures.
Open data architectures are becoming increasingly important as customers seek greater flexibility, interoperability, and reduced lock-in across analytics and AI environments. AWS is uniquely positioned to help customers build modern architectures that enable multiple analytics and AI engines to operate against shared open data foundations. This role will help define and scale the GTM strategies, customer engagement models, and field motions that support this vision globally.
This individual will work closely with the Principal GTM lead for open data architecture initiatives while independently owning and executing key components of the worldwide motion. The role requires a combination of strategic thinking, technical fluency, and execution rigor to help scale repeatable customer and field engagement patterns globally.
The ideal candidate has experience spanning modern analytics architectures, GTM strategy, and cross-functional execution. They should be comfortable discussing open table formats, interoperable analytics architectures, and multi-engine data platforms with customers and specialists while also driving scalable GTM programs that accelerate adoption and pipeline growth.
Key job responsibilities
Develop and execute GTM strategies that accelerate adoption of open data architectures and interoperable analytics patterns on AWS
Position AWS analytics services within multi-engine analytics and AI environments leveraging open table formats such as Apache Iceberg
Identify and scale repeatable customer engagement models, architectural GTM plays, and modernization strategies that drive adoption of AWS analytics services
Partner across AWS analytics, specialist, and partner organizations to define and operationalize best practices for interoperable and hybrid analytics architectures
Build scalable field enablement, positioning, and guidance for open data architecture strategies and multi-engine analytics patterns
Analyze customer adoption trends, competitive dynamics, and market signals to identify growth opportunities and influence GTM priorities
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: - 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience selling enterprise software or cloud-based applications
- Experience explaining complex technical concepts to various business and technical audiences
- Experience presenting to both technical and non-technical executive audiences
- Experience leading complex, multi-year initiatives that may be cross-functional and/or span business and technology
- Technical familiarity with Apache Iceberg, open table formats, interoperable analytics architectures, and modern data processing ecosystems Preferred Qualifications: - Experience interpreting data and making business recommendations across leadership and cross-functional teams
- Experience delivering technology products or services in a high growth environment
- Experience working with open data architectures and multi-engine analytics ecosystems
- Experience partnering across product, field, and partner organizations to drive large-scale GTM initiatives
- Experience influencing product direction through customer and market feedback
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.
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, VA, Arlington - 147,900.00 - 200,100.00 USD annually
USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually
Open data architectures are becoming increasingly important as customers seek greater flexibility, interoperability, and reduced lock-in across analytics and AI environments. AWS is uniquely positioned to help customers build modern architectures that enable multiple analytics and AI engines to operate against shared open data foundations. This role will help define and scale the GTM strategies, customer engagement models, and field motions that support this vision globally.
This individual will work closely with the Principal GTM lead for open data architecture initiatives while independently owning and executing key components of the worldwide motion. The role requires a combination of strategic thinking, technical fluency, and execution rigor to help scale repeatable customer and field engagement patterns globally.
The ideal candidate has experience spanning modern analytics architectures, GTM strategy, and cross-functional execution. They should be comfortable discussing open table formats, interoperable analytics architectures, and multi-engine data platforms with customers and specialists while also driving scalable GTM programs that accelerate adoption and pipeline growth.
Key job responsibilities
Develop and execute GTM strategies that accelerate adoption of open data architectures and interoperable analytics patterns on AWS
Position AWS analytics services within multi-engine analytics and AI environments leveraging open table formats such as Apache Iceberg
Identify and scale repeatable customer engagement models, architectural GTM plays, and modernization strategies that drive adoption of AWS analytics services
Partner across AWS analytics, specialist, and partner organizations to define and operationalize best practices for interoperable and hybrid analytics architectures
Build scalable field enablement, positioning, and guidance for open data architecture strategies and multi-engine analytics patterns
Analyze customer adoption trends, competitive dynamics, and market signals to identify growth opportunities and influence GTM priorities
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: - 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience selling enterprise software or cloud-based applications
- Experience explaining complex technical concepts to various business and technical audiences
- Experience presenting to both technical and non-technical executive audiences
- Experience leading complex, multi-year initiatives that may be cross-functional and/or span business and technology
- Technical familiarity with Apache Iceberg, open table formats, interoperable analytics architectures, and modern data processing ecosystems Preferred Qualifications: - Experience interpreting data and making business recommendations across leadership and cross-functional teams
- Experience delivering technology products or services in a high growth environment
- Experience working with open data architectures and multi-engine analytics ecosystems
- Experience partnering across product, field, and partner organizations to drive large-scale GTM initiatives
- Experience influencing product direction through customer and market feedback
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, VA, Arlington - 147,900.00 - 200,100.00 USD annually
USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually
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