Responsibilities

• Contribute to the learning agendas for the enterprise audience ecosystem to inform strategy development and to support progress on business goals
• Design and execute quantitative and qualitative research to support decision-making, strategic planning and shape marketing strategies, campaign development, product development, 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
• Collaborate with cross-functional teams to define requirements, scope, deliverables and goals

Requirements

• Research Expertise: 6+ years of research experience. High degree of qualitative and quantitative research expertise, with the ability to apply them in a business context to drive decision-making and raise salience of new opportunities
• 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 skills: Experience navigating ambiguity, identifying strategic problems to solve, setting priorities, and driving learning agendas with minimal guidance
• Influencing skills: Experience influencing, and providing direction to cross-functional teams, including engineering, data science, sales, product, and creative to execute and evaluate marketing campaigns

Preferred

• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• 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 ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience with marketing strategy, campaigns, analysis, and measurement
• Experience researching enterprise or B2B audiences, buyer journeys, and go-to-market strategy