Marketing Insights Researcher

Meta

$130K — $155K *
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of research experience with qualitative and quantitative methods
  • Proven expertise in insights-driven marketing campaigns from definition to execution
  • Experience driving cross-functional alignment in ambiguous environments
  • Ability to translate research findings into actionable insights
  • Experience with consumer hardware and AI products preferred
  • 10+ years of research experience preferred
  • MA or PhD in a relevant field preferred

Responsibilities

  • Identify growth opportunities through learning agendas in collaboration with UX, Data Science, and Creative teams
  • Frame strategy decisions, drive alignment, and unblock progress for successful marketing execution
  • Design and execute quantitative and qualitative research for strategic planning and product development
  • Translate research findings into actionable insights with effective communication
  • Motivate and guide stakeholders to apply research learnings across the organization

Benefits

  • Room to shape product experiences and marketing strategies
  • Opportunities to innovate in AI and hardware integration
  • Collaborative work environment with cross-functional teams
  • Engagement with frontier technologies and emerging product categories
Full Job Description
This role is on the frontier of innovation in nascent and growing categories, with room to help shape the products and experiences we deliver to our users, and how we bring those products and experiences to market.

Responsibilities

Identify opportunities and develop the learning agendas (in collaboration with other functions such as User Experience Research (UXR), Data Science, Creative) to support progress on business goals, with a focus on the intersection between AI and hardware - exploring opportunities to integrate AI powered features and experiences into personal consumer hardware (e.g. Meta Quest VR headsets, Meta Ray-Ban AI glasses)
• Responsible for framing strategy decisions, driving alignment, and unblocking progress - ensuring the right conversations are happening and marketing is set up to succeed
• Design and execute quantitative and qualitative research to support decision-making, strategic planning and shape marketing and brand strategies, campaign development, product development, retail and channel strategy
• Translate research findings into actionable insights with clear recommendations; producing highly effective communication that motivates people to apply learnings in marketing and across the organization

Minimum Qualifications
• Research Expertise: 8+ years of research experience. Deep experience with qualitative and quantitative methods, with the ability to apply them in a business context to inform decision-making
• Marketing Expertise: Proven expertise in shaping insights-driven marketing campaigns and product launches from definition to execution, with a focus on shaping strategy, driving alignment, and delivering business outcomes
• Strategic Leadership: Resolves ambiguity, drives cross-functional alignment. Experience convening stakeholders and driving decision-making in ambiguous or evolving contexts. Track record of prioritizing competing workstreams and delivering quality outcomes within tight timelines
• Driving Impact: Experience translating research learnings into actionable insights that influence decisions and drive business outcomes

Preferred Qualifications
• Experience working on consumer hardware, AI products and experiences, and 0-to-1 products in emerging categories
• 10+ years research experience
• 4+ years of experience leading insights-driven product launches from problem definition and foundational exploration to go-to-market execution and campaign development
• MA or PhD degree in a relevant field
• Prior experience partnering with Product Marketing, User Research, Product Management, and Product Design teams
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

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