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About the Role

This role extends our capability to synthesize field, customer, and product signals into go-to-market recommendations by owning the campaign execution arm. You will convert detected signals into targeted, sequenced campaigns that reach the right field teams and customers within minutes to days, leveraging AI to move from manual triage toward an always-on detect-and-activate loop. You will own the full path from signal to seller action to measurable pipeline outcome.

Responsibilities

Own the signal-to-activation mechanism end to end, defining which signals warrant field activations, campaigns, asset updates, or knowledge base improvements, and the closed-loop tracking that confirms the field acted and the signal was resolved.
Design and launch targeted activation campaigns that convert a detected signal into a differentiated, sequenced field ask, reaching the right sellers and customers with context-aware messaging.
Build on the existing GTM signal synthesis capability, extending it from insight generation into campaign execution.
Establish differentiated, cohort-based targeting that segments accounts by journey stage, existing pipeline, and prior actions.
Ingest and normalize signal from diverse sources, including seller conversations, internal AI assistant prompts, deal blockers, product feature requests, opportunity data, competitive intelligence, model launches, and customer forums.
Be a deep expert in using AI to derive signal and to execute on signal at scale, applying AI both to mine thousands of internal and external inputs for the patterns that matter and to convert those patterns into precise field activation faster than any manual process.
Operate agentic AI mechanisms that mine signal in real time, prioritize what matters, and increasingly auto-generate the activation and recommendation, moving the team from manual triage toward an always-on loop.
Drive internal teams to build and maintain the signal architecture, holding the source teams accountable for the pipelines, instrumentation, and data quality that keep signal flowing reliably.
Partner with Finance and Sales Operations to surface the top signals that are stalling deals in business reviews, quantifying blocked pipeline by root cause and turning that view into prioritized field action.
Partner cross-functionally with the signal synthesis owner, product and service GTM teams, demand marketing, field enablement, sales leadership, and analytics to align activation campaigns to product priorities and field capacity.
Define the business requirements for reporting that quantifies activation impact and blocked pipeline by root cause, giving leadership visibility into what signals drove which outcomes.
Measure, report, and optimize activation campaigns against pipeline generated, conversion rate, deal velocity, signal resolution time, and revenue influence, presenting results to senior leadership.
Continuously improve the mechanism, running experiments on signal thresholds, targeting logic, messaging, and channels so activation gets sharper and faster over time.

Requirements

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
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

Skills

AI/ML
GenAI
Analytics
Database
Storage
Program management
Workforce strategy development
Metrics-driven decision making
Enterprise software sales
Cloud-based applications sales
Explaining complex technical concepts
Presenting to executive audiences
Leading complex initiatives

Location

USA, CA, Mountain View
USA, CA, San Diego
USA, CA, San Francisco
USA, GA, Atlanta
USA, MA, Boston
USA, NY, New York
USA, TX, Austin
USA, TX, Dallas
USA, VA, Arlington
USA, WA, Seattle

Work Type

Onsite

Experience Level

Senior

Education Level

Bachelor's degree
Master's degree in business, data science, public administration, finance, engineering, human resources, or related field, or PMP certificate

Salary/Compensations

162,700.00 - 220,200.00 USD annually
147,900.00 - 200,100.00 USD annually

Benefits

Sign-on payments
Restricted stock units (RSUs)
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
Parental leave

About the Company

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 build and operate go-to-market programs and initiatives that connect the right customer with the right solution at the right moment, 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 with AWS product and GTM teams building AI and data services. On the other, we partner with thousands of field sellers, solution architects, and inside sales professionals who bring those services to customers. Our job is to bridge the gap between what the field is telling us and what the field does next, turning signal into coordinated action.
What makes this team unique is how we operate. We build, we prove, and we scale. We prototype new go-to-market mechanisms, 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. We are increasingly AI-native in how we work, building and operating agents that mine field signal and deliver personalized recommendations directly into seller workflows.
Culturally, we are builders obsessed with measurable impact. 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 is not fully defined. You will work alongside people who are curious, technically fluent, collaborative across organizational boundaries, and energized by the pace of change in AI.

Equal Opportunity

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.