Growth Marketing Manager
Metaview · San Francisco, CA · 1 wk ago
On-siteMarketing$50/hrFull-time
Key Responsibilities
- Run rapid growth experiments: Identify opportunities, launch experiments quickly, measure outcomes and double down on what works.
- Improve the self-serve funnel: Optimize sign-up, onboarding, activation, upgrade flows and product messaging to help more users reach value and convert.
- Drive self-serve growth: Drive the metrics that matter: new accounts, activation, paid conversion, expansion and self-serve revenue.
- Build AI-native growth systems: Use AI to automate workflows, generate creative, analyze performance and accelerate experimentation across the entire growth function.
Requirements
- Experience in product-led growth, growth marketing, product management or biz ops at a high-growth B2B SaaS company.
- A track record of owning business outcomes such as activation, paid conversion, self-serve revenue, retention or expansion.
- Strong understanding of growth loops, experimentation, onboarding, lifecycle marketing and conversion optimization.
- Hands-on builder mentality: you can take an experiment from idea → build/spec → launch → analyze → iterate, and ship quickly without sacrificing quality.
- Customer-first, product-minded approach with strong UX and messaging taste—able to design and optimize critical touchpoints like sign-up and onboarding flows.
- Excitement about using AI as a force multiplier in your day-to-day work.
Qualifications
The ideal candidate will have a Bachelor's degree in Computer Science, Business Administration, Marketing, or a related field. A Master's degree is preferred. Prior experience in a similar role is highly desirable.
Skills
- Experience with growth hacking and product-led growth strategies.
- Strong analytical skills with proficiency in data analysis and interpretation.
- Ability to communicate effectively with cross-functional teams including product, engineering, design, and sales.
- Proficiency in using growth analytics tools and platforms.
- Experience with AI and machine learning tools and techniques.
Benefits
- Competitive compensation package including base salary and equity options.
- Comprehensive health, dental, and vision insurance.
- Flexible work schedule and remote work options.
- Professional development opportunities and ongoing training.
- Employee referral program and generous PTO policy.
Pay
Salary range: $150,000 - $200,000 annually, depending on experience and qualifications.
Schedule
Full-time position, Monday through Friday, with occasional evening and weekend work required for special projects.