Gamma
Growth Marketing Manager
San Francisco · Full-time
Sponsorship not specified$150k-$250kDetected 19 days ago
SQLData AnalysisSEOContent MarketingGrowth MarketingPerformance Marketing
About the role
- Gamma has grown to over 100 million users, and a significant part of that story is organic.
- Our team has a strong in-office culture and works in person 4-5 days per week in San Francisco.
- We love working together to stay creative and connected, with flexibility to work from home when focus matters most.
Responsibilities
- Experiment across channels and tactics to drive user acquisition, including SEO, content marketing, social media, and new formats worth testing
- Use data analytics and user insights to find optimization opportunities across the funnel, design rigorous experiments, and measure real impact
- Manage performance marketing across paid channels, partnering on creative testing, audience development, and ROI optimization
- Drive site-to-signup conversion optimization, turning traffic into activated users
- Collaborate with product, engineering, and design to identify and prioritize growth-specific improvements that compound at scale
Requirements
- Deep hands-on experience with owned and earned media: you know how to scale SEO, content, and social, not just manage them
Nice to have
- Experience as a founder or in a prosumer or consumer product environment (Nice to have)
- Strong analytical skills, with the ability to move from data to decision quickly - SQL fluency is a real plus
Compensation
- The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $150K - $250K plus benefits & equity.
- Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above.
- If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway!
- We're always excited about meeting great people.
This listing is sourced directly from Gamma's careers page and normalized into a canonical job model.