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Sr. Partner Marketing Manager, AI Partner Marketing

AmazonWebServices

Location
Tampa, FL
Arrangement
On-site
Type
Full-time
Posted
Closes

Overview

In this role you lead the WW AI partner program and drive demand, pipeline and revenue through strategic partner marketing. You will align with product, field, brand, digital and partner teams to define a global demand, content and campaign strategy for AWS and its technology partners. You'll manage cross functional programs, measure performance and optimize for growth, while guiding partners regionally on marketing processes. You'll shape joint value propositions with AI partners and scale initiatives across geographies.

Compensation / Benefits

  • health insurance (medical, dental, vision)
  • 401(k) matching
  • paid time off
  • parenteral leave
  • RSUs
  • sign-on payments

Responsibilities

  • Own the WW AI partner program strategy and annual priorities
  • Plan and govern a multi million dollar co investment budget with business cases and spend discipline
  • Lead a virtual team across Partner Marketing and WWSO with clear ownership and cadence
  • Scale flagship partner benefit programs into repeatable sales enablement motions
  • Collaborate on annual cohort planning and program design with partner management
  • Manage partner presence at flagship events (e.g., re:Invent, Summits) including stories and sessions
  • Own pipeline reporting and attribution (including partner-originated and launched pipeline) and fix data issues
  • Produce monthly business reviews and program scorecards for leadership

Key requirements

  • 6+ years in acquisition marketing or channel programs
  • Data-driven with experience using metrics to drive improvements
  • Proficiency with Excel or Tableau (data manipulation, macros, charts, pivot tables)
  • Experience executing cross functional marketing programs
  • Experience running campaigns across multiple timezones and languages
  • Strong cross functional collaboration
  • Excellent written and verbal communication to both technical and non technical audiences
  • Detail oriented and organized under ambiguity
  • Excel
  • Tableau
  • data manipulation and visualization

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