AmazonPosted 1w ago

Sr. Worldwide GTM Specialist – AI, Amazon Quick, Data & AI GTM

Sr. Worldwide GTM Specialist – AI, Amazon Quick, Data & AI GTM at Amazon scores 65 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

US, WA, Seattleseniorfull-time$163k-$220k

AI in this role

Worldwide GTM specialist leading global go-to-market strategy for managed knowledge bases and enterprise generative AI solutions.

aws

raggo-to-marketgenerative-aiproduct-strategysaas-sales

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Generative AI background, and sales skills to help position AWS as the cloud provider of choice? Do you love building new, strategic, data-driven businesses from the ground up? Join the Worldwide Specialist Organization (WWSO) Amazon Quick team as the Worldwide GTM Specialist leading the global go-to-market strategy for Managed Knowledge Bases.

The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers, including public sector. We work backwards from our customers' most complex and business-critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist, and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative — from shaping ideas for new services to accelerating the adoption of established ones. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.

Within WWSO, this role owns the worldwide GTM plan for Managed Knowledge Bases — the retrieval and data-grounding layer that makes enterprise Generative AI and agents accurate, trustworthy, and secure. Managed Knowledge Bases connect customers' proprietary content to foundation models through fully managed retrieval-augmented generation (RAG), so the answers customers get are grounded in their own data. You will set direction and standards for how we solve customer problems in this domain, lead specialists, architects, partners, and account teams around the world, and bring the voice of the customer directly into our product roadmap. This is a highly visible, "first-in" role for an emerging, fast-growing business: you see the big picture and set the plan so the world's most customer-obsessed technical teams can make history.

Key job responsibilities
- Own the worldwide GTM strategy for Managed Knowledge Bases — market sizing, target segments and industries, sales plays, pricing/packaging input, and the multi-year adoption plan.
- Build and grow a global pipeline in partnership with field sales, Specialist Solutions Architects, partners, and account teams; help qualify, progress, and close the largest and most strategic opportunities.
- Serve as a domain authority on enterprise retrieval, RAG, vector stores, connectors, and data grounding for GenAI and agentic workloads — translating complex technical trade-offs into clear business outcomes for Line-of-Business and C-suite leaders.
- Define and scale the enablement flywheel: sales playbooks, reference architectures, demos, workshops, and field training that let thousands of AWS sellers and partners land this motion consistently worldwide.
- Represent the voice of the customer to product and engineering teams, converting field signals into a prioritized, data-backed roadmap of features and capabilities.
- Collaborate to build the partner and ecosystem strategy that extends reach and delivery capacity around Managed Knowledge Bases.
- Establish the goals, metrics, and reporting cadence; deliver regular business reviews and recommendations to senior AWS leadership.
- Represent AWS credibly as a thought leader at customer briefings, industry events, and conferences.

A day in the life
You will move fluidly between strategy and execution. In a given week you might define a new industry segment, join an executive briefing to shape a strategic customer's knowledge-base architecture, review pipeline health with a geo leadership team, author a new sales play, unblock a lighthouse proof-of-concept alongside a Specialist SA, and package the field signal from all of it into crisp roadmap input for the product team. You are the connective tissue between customers, the field, partners, and product — setting the standard for how AWS wins in this domain and reporting progress, insights, and trends to leadership.

About the team
The WWSO Amazon Quick team brings AWS's newest and fastest-moving Agentic AI capabilities to market. We are a "first-in" team: when customers need a new way to put their data to work with AI, they count on us to innovate with them, prove what's possible, and then scale it worldwide. We create sales plays, build pipeline, activate partners, and feed customer insight straight into the product roadmap. We think big, earn trust, dive deep, and deliver results as #OneTeam.

Basic qualifications

- 6+ 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 (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience
- Experience explaining complex technical concepts to various business and technical audiences
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience developing strategies that influence leadership decisions at the organizational level

Preferred qualifications

- Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
- Experience driving new business segment or services launches
- Experience engaging and influencing C-level executives, both business and technical
- 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
- Experience negotiating complex deals with customers and partners or equivalent
- Experience developing and executing sales strategies, tactics, plans, processes, systems and programs

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, San Francisco - 162,700.00 - 220,200.00 USD annually
USA, CA, Santa Clara - 162,700.00 - 220,200.00 USD annually
USA, IL, Chicago - 147,900.00 - 200,100.00 USD annually
USA, NY, New York - 162,700.00 - 220,200.00 USD annually
USA, TX, Austin - 147,900.00 - 200,100.00 USD annually
USA, VA, Arlington - 147,900.00 - 200,100.00 USD annually
USA, VA, Herndon - 147,900.00 - 200,100.00 USD annually
USA, WA, Bellevue - 147,900.00 - 200,100.00 USD annually
USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually

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A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RagGo To MarketGenerative AIProduct StrategySaas SalesAws

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Tell me about a project where go to market was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where product strategy was part of your work. What did you do?
Tell me about a project where saas sales was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Rag, Go To Market, Generative AI, Product Strategy, and Saas Sales. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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