Manager, Social & Influencer Measurement

Adobe • San Francisco, CA

2d • $128,100 - $265,800

About The Position

Social Media, Creators, and Communities are transforming how brands build relevance and long-term customer relationships. These channels generate rich, fast-moving signals across culture, conversation, sentiment, and performance—introducing new challenges around measurement, attribution, and sustained impact across the entire customer journey. Within the Growth Marketing & Insights organization, our team develops actionable Category & Customer Insights and measures Marketing Effectiveness as our dual purpose. We are a multidisciplinary team of change agents—data scientists, strategists, and analysts—who thrive in ambiguity, move fast with rigor, and tackle complex, evolving challenges. We enable decisions at the E-Team level and help the business move from insights to execution to growth. We partner closely with Marketers, Product, GTM, and Finance to bring clarity to emerging problem spaces. We’re looking for a Manager, Social & Influencer Measurement to lead how we define, measure, and optimize success across Social, Influencer, and Community marketing. It drives full-stack measurement and strategic impact for Adobe’s Social Marketing in Organic, Paid, and Earned channels. You will be a builder of teams, systems, and standards, not only keeping pace with a fast-moving field, but leading innovation within it. You’ll manage and develop analytics and data science talent, own end-to-end measurement frameworks, and serve as a trusted thought partner to senior marketing leaders.

Requirements

• Over 3 years managing people, demonstrating success in building, leading, and developing high-performing analytics or advanced data analysis teams.
• Demonstrated ability to set priorities and expectations, manage tradeoffs, and drive execution in a fast-moving, ambiguous environment.
• A leadership style that is curious, results-focused, and grounded in ownership, continuous learning, and pushing the standard higher.
• 8–10+ years of experience in marketing analytics, growth analytics, product analytics, or data science, with exposure to social, influencer/creator, or community measurement.
• Proven judgment solving problems without clear playbooks or ground truth, including non-routine analytical challenges requiring advanced analytical, statistical, or experimental methods.
• Strong analytical reasoning and comfort working with imperfect, fragmented, or non-attributable data.
• Ability to understand complex systems and explain them simply to both technical and non-technical audiences.
• Proven experience influencing senior and executive partners through clarity, structure, and data-driven storytelling.
• Trusted partner attitude with strong cross-functional instincts in large, matrixed organizations.

Nice To Haves

• Experience with influencer/creator platforms, social listening tools, or content analytics
• Background in brand measurement, sentiment analysis, or community health metrics
• Experience scaling analytics practices for emerging or rapidly evolving marketing channels

Responsibilities

• Shape how Social and Influencer impact is measured and quantified, how insights are produced at scale, and how those insights translate into confident decisions, actions, and meaningful business outcomes.
• Lead and grow a team of analysts and data scientists, setting clear direction, prioritizing the right work, coaching for impact, and building durable systems that scale team effectiveness.
• Measure and evaluate end-to-end social-first initiatives (campaigns, announcements, launches, events), establishing reporting and optimization metrics across the funnel.
• Translate ambiguous and multi-dimensional signals into structured analysis, developing proxies and heuristics to connect upper-funnel outcomes (reach, attention, engagement, sentiment, influence) to business results (e.g., MAU, LTV, ARR).
• Set quarterly goals and establish operating rhythms. Monitor weekly and sometimes daily performance. Use data to guide investment and budget decisions across content creation and paid media. Balance customer acquisition cost, return on investment, and long-term brand impact.
• Build and scale analysis pipelines and data foundations, partnering with Data Engineering to ensure data quality, metric integrity, and reliable insights at scale; work with large, complex datasets, including text and social conversation data.
• Adopt and champion AI-first workflows (e.g., assisted analysis, synthesis, and reporting) to improve team productivity, speed to insight, and analytical leverage—while maintaining strong judgment, rigor, and accountability.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed