Are you excited about turning data signals into customer action at scale? We're looking for a Sr. WW Data & AI GTM Specialist to own and evolve campaigns that help AWS customers adopt AI and data services. You'll 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, you'll leverage AI agents to amplify campaign reach, personalize outreach, and accelerate conversion at a pace that manual motions alone cannot achieve.

This isn't traditional business development where you manage a handful of named accounts. Instead, you'll design scalable outreach programs, from propensity-based targeting to agent-driven multi-touch sequences, that reach thousands of accounts simultaneously. You'll work with product teams, field sales leaders, demand marketing, analytics, and third-party AI agent providers to translate product launches into campaigns that convert. You'll own the full campaign lifecycle, from signal identification through pipeline conversion, and you'll 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. You'll 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. You'll influence how AWS's 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. You'll 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 you're seeing a 6% click-through rate on the latest sprint message. You flag a segment that's 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 they've built. You evaluate whether it's 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 that's hitting GA next month. You're 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 that's exceeding targets and recommend expanding it to additional regions. You also raise a campaign that's stalling and propose a pivot.

Before wrapping up, you spend time in Slack threads with field sellers who've 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 you'll build next week.

Some weeks, you'll 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.

BASIC QUALIFICATIONS

- 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

- Bachelor's 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

PREFERRED QUALIFICATIONS

- Master's 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

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 Diego - 147,900.00 - 200,100.00 USD annually

USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually

USA, GA, Atlanta - 147,900.00 - 200,100.00 USD annually

USA, MA, Boston - 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, TX, Dallas - 147,900.00 - 200,100.00 USD annually

USA, VA, Arlington - 147,900.00 - 200,100.00 USD annually

USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually