Product Marketing Manager

Meta Meta · Big Tech · Austin, TX +2

Product Marketing Manager at Meta to drive development, launch, and growth of business products. Responsibilities include market assessment, go-to-market strategy, and cross-functional collaboration. Requires 10+ years of experience in technology marketing or product management, with a demonstrated ability to integrate and leverage AI tools for workflow optimization and execution.

What you'd actually do

  1. Lead market assessment, quantitative analysis, qualitative feedback, and represent the requirements of the market internally with Product Management and Engineering
  2. Understand the advertiser's needs/requirements and product risk areas in order to prioritize recommendations to product, engineering, and design teams for new and existing products
  3. Coordinate cross-functional projects across Meta that build new innovative solutions for advertisers/marketers to ensure that products and solutions are incorporated into the platform in a consistent and strategic manner
  4. Ensure the right level of alignment, consistency and flexibility in approach across regional and vertical teams, with the goal of scaling impact while meeting market-specific needs
  5. Own go-to-market strategy for a portfolio of products and solutions by coordinating with cross-functional teams to develop client communications, product documentation, and positioning

Skills

Required

  • 10+ years of professional experience in technology or internet technology, strategic marketing, product management, or management consulting
  • Experience leveraging full-funnel marketing (including performance marketing) and outbound sales to drive product growth
  • Experience collaborating across cross-functional teams and enrolling the necessary leadership support to drive resolution in the context of competing perspectives
  • Analytical, data driven decision-maker with experience using deductive reasoning to simplify and communicate complex issues
  • Organizational and people skills and experience setting priorities, problem-solving, multitasking and working independently in a dynamic, rapidly changing workplace
  • Experience communicating effectively with technical, business, and external stakeholders
  • Bachelor's Degree in Business, Marketing or Creative discipline
  • Experience distilling complex information into clear themes that are easily communicated and understood
  • Executive Presence (internally & externally), especially experience driving strategic and tactical product decisions with a C-Level audience
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience in marketing subscription-based/SaaS product offerings
  • Project/Program Management experience driving partnership via shared goals
  • Understanding of data table architecture, some experience with SQL
  • Understanding and familiarity with Meta's advertising products
  • Demonstrated ability to use AI to accelerate research, messaging development, and go-to-market execution
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated experience influencing decision makers at all levels of an organization

Nice to have

  • prompt/context engineering
  • agent orchestration

What the JD emphasized

  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to use AI to accelerate research, messaging development, and go-to-market execution
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)