Sr. WW Data & AI Specialist, Campaigns & Field Activations, Data & AI GTM

Are you excited about turning data signals into customer action at scale Were looking for a Sr. WW Data & AI GTM Specialist to own and evolve campaigns that help AWS customers adopt AI and data services. Youll sit at the intersection of product marketing sales enablement and product designing and running campaigns that identify the right customers deliver the right message and drive measurable pipeline growth. Increasingly youll leverage AI agents to amplify campaign reach personalize outreach and accelerate conversion at a pace that manual motions alone cannot achieve.

This isnt traditional business development where you manage a handful of named accounts. Instead youll design scalable outreach programs from propensity-based targeting to agent-driven multi-touch sequences that reach thousands of accounts simultaneously. Youll work with product teams field sales leaders demand marketing analytics and third-party AI agent providers to translate product launches into campaigns that convert. Youll own the full campaign lifecycle from signal identification through pipeline conversion and youll continuously improve outcomes using data experimentation and agentic automation.

What sets this role apart is the combination of strategic global-scale thinking hands-on execution and fluency with AI-powered tooling. Youll define which customers to target craft positioning that resonates build campaign infrastructure that includes AI agents delivering personalized recommendations into seller workflows and measure the results. Youll influence how AWSs field sales force engages with AI services at scale making it easier for sellers to have the right conversations with the right customers at the right time. Youll evaluate integrate and interact with third-party agent ecosystems to extend campaign capabilities beyond what internal systems provide.

Key job responsibilities
- Own end-to-end campaign strategy and execution for Data & AI service categories from customer signal identification and propensity modeling through messaging channel selection and conversion measurement

- Design and operate scalable outreach mechanisms that activate field sales teams (Account Managers Inside Sales) on high-propensity customer opportunities across thousands of accounts

- Build and refine targeting frameworks using consumption data firmographic signals competitive intelligence and product usage patterns to identify customers with the highest conversion potential

- Develop campaign messaging and sales plays that translate technical product capabilities into clear actionable guidance for field sellers and customers

- Partner cross-functionally with Demand Marketing Product GTM Field Enablement BI/Analytics and Sales Leadership to align campaigns to product launches seasonal priorities and regional needs

- Measure report and optimize campaign performance against pipeline generation conversion rate deal velocity and revenue influence metrics presenting results to senior leadership (Director and VP level)

- Experiment with campaign formats and channels including email sequences seller nudges Sales Play Builder integrations and agentic AI-powered personalization to improve engagement and conversion rates

- Develop and maintain relationships with field sales leaders to gather feedback understand blockers and iterate on campaign design based on real-world seller and customer experience

- Contribute to strategic planning and rhythm of business documents (WBR QBR GTM plans) with data-driven recommendations for campaign investment audience expansion and mechanism improvement

A day in the life
You start your morning reviewing overnight campaign performance dashboards. The OpenAI models on Bedrock campaign you launched last week has driven 200 seller actions in NAMER alone and youre seeing a 6% click-through rate on the latest sprint message. You flag a segment thats underperforming and draft a hypothesis for why then schedule a quick test with adjusted messaging for that cohort.

Mid-morning you join a working session with the BI team to review a new propensity signal theyve built. You evaluate whether its strong enough to power a net-new campaign or if it should augment an existing audience list. You sketch out what the campaign motion would look like who the target sellers are and what the ask would be.

After lunch you have a sync with the Product GTM lead for a service thats hitting GA next month. Youre planning the launch campaign and need to align on positioning competitive differentiators and which customer segments to prioritize. You leave with a clear brief and start building the campaign timeline.

Later in the afternoon you pull together a weekly metrics read-out for your leadership team. Pipeline influenced opportunities created engagement rates all broken down by campaign segment and geo. You call out one campaign thats exceeding targets and recommend expanding it to additional regions. You also raise a campaign thats stalling and propose a pivot.

Before wrapping up you spend time in Slack threads with field sellers whove been using your latest sales play. A few have customer stories that could inform the next iteration. You capture the insights add them to your backlog and outline the v2 youll build next week.

Some weeks youll spend time directly on customer calls alongside field teams validating that the campaign messaging lands and capturing firsthand technical learnings you can scale back into your programs.

About the team
We are the Data & AI GTM Acceleration team within Amazon Web Services. Our mission is to help every AWS customer realize the value of AI and data services faster. We do this by building and operating go-to-market programs that connect the right customer with the right solution at the right time at a scale that a traditional sales model cannot reach on its own.

We sit at the center of a broad ecosystem. On one side we work closely with AWS product teams building AI and data services. On the other we partner with thousands of field sellers solution architects and demand marketing professionals who bring those services to customers. Our job is to bridge the gap between product launches and customer adoption through campaigns sales plays and intelligent automation that make sellers more effective and customers more successful.

What makes this team unique is how we operate. We build prove and scale. We prototype new go-to-market motions validate them with real sellers and real customers and then hand proven playbooks to enterprise scaling partners who deploy them across the global AWS field. We move quickly experiment often and measure everything. If something works we scale it. If it doesnt we learn and iterate.

We are increasingly AI-native in how we work. We build and operate AI agents that deliver personalized recommendations directly into seller workflows. We partner with third-party AI platforms to extend our reach and test new engagement models. The tools we use to accelerate our customers are the same AI and data technologies we help them adopt. This means youll be working on the cutting edge of whats possible in go-to-market building campaigns today that look nothing like campaigns from even two years ago.

Culturally we are builders who are obsessed with measurable impact. We care deeply about making sellers jobs easier and customers journeys smoother. We operate with a high degree of autonomy trust each other to own outcomes end-to-end and maintain a bias for action even when the path forward isnt fully defined. We celebrate experimentation share learnings openly and hold a high bar for the quality of what we put in front of customers. Youll work alongside people who are curious technically fluent collaborative across organizational boundaries and energized by the pace of change in AI.

- 5 years of developing negotiating and executing business agreements experience
- 5 years of professional or military experience
- 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
- 5 years of in program management workforce strategy development or metrics-driven decision making experience
- Bachelors degree
- 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

- Masters degree in business data science public administration finance engineering human resources or related field or PMP certificate
- Experience interpreting data and making business recommendations
- Experience identifying negotiating and executing complex legal agreements
- Experience interpreting data and making business recommendations across leadership and cross-functional teams
- Experience using analytical tools for workforce metrics and reporting

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 Companys 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 for more information. If the country/region youre applying in isnt 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 CA Mountain View - 162700.00 - 220200.00 USD annually
USA CA San Diego - 147900.00 - 200100.00 USD annually
USA CA San Francisco - 162700.00 - 220200.00 USD annually
USA GA Atlanta - 147900.00 - 200100.00 USD annually
USA MA Boston - 147900.00 - 200100.00 USD annually
USA NY New York - 162700.00 - 220200.00 USD annually
USA TX Austin - 147900.00 - 200100.00 USD annually
USA TX Dallas - 147900.00 - 200100.00 USD annually
USA VA Arlington - 147900.00 - 200100.00 USD annually
USA WA Seattle - 147900.00 - 200100.00 USD annually