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Senior Paid Social Manager

Scribdinc
CompanyScribdinc
CategoryMarketing
LocationSan Francisco
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted29 Apr 2026
Last verified10 Aug 2026
SourceEmployer ATS (ashby)
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Description
Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd®, Slideshare®, Everand™, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise. CULTURE AT SCRIBD, INC. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location. So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. This posting reflects an approved, open position within the organization. ABOUT THE ROLE We're seeking an experienced Senior Paid Social Manager to join our performance marketing team, focusing on scaling our presence across Meta, TikTok, Reddit, and exploring other emerging social platforms. This role will be instrumental in driving user acquisition for our Everand and Fable products through social advertising strategies. WHAT YOU’LL DO: - Own and optimize paid social advertising budgets across Meta, TikTok, Reddit, and other social platforms for web and mobile app campaigns - Develop and execute paid social strategies aligned with our growth objectives and brand guidelines - Build and maintain sophisticated audience targeting frameworks, sustaining results through platform shifts and creative fatigue - Design and execute structured testing plans across bidding models, creative formats, and audience strategies; produce durable test plans and playbooks the team can reuse - Collaborate with Creative to develop high-performing ad content, influencing briefs with performance data - Leverage AI tools to accelerate experimentation and creative iteration. Ex: concept generation, dynamic creative optimization (DCO), and performance prediction to expand test velocity - Lead learning reviews and document test results so insights are actionable and built into future planning cycles - Partner with Product and Engineering to identify landing page friction points, propose A/B test hypotheses, and own a CRO testing roadmap across landing pages - Analyze funnel performance from ad click through to subscription activation, connecting paid media inputs to downstream conversion outcomes - Partner with data science to develop attribution models, incrementality tests, and LTV signaling pipelines - Own regular analytics and reporting; effectively communicate performance, wins, and challenges to stakeholders WHO YOU ARE: - 6+ years of experience managing paid social campaigns, with at least 3 years focused on subscription or D2C products - Proven track record of scaling social advertising spend efficiently while maintaining or improving LTV:CAC - Deep expertise in Meta Ads Manager, TikTok Ads, and Reddit Ads platforms, including structured testing across bidding, creative, and audience - Strong understanding of conversion optimization, audience targeting, and creative testing methodologies - Experience with attribution models and incrementality testing; able to pressure-test data and validate what actually drove performance before scaling - In-depth