Sr Product Mgr II- Commerce, Subscriber Growth & Monetization
$170,500–$228,600 year
On-siteSanta Monica, California, United States
Job Summary
Own end-to-end product strategy and execution across commerce and growth initiatives, from discovery through launch and iteration. Drive impact on acquisition, engagement, and retention surfaces including onboarding flows, conversion funnels, feature adoption, subscriptions, pricing, and paywalls. Identify opportunities using qualitative research, data analysis, and experimentation; define success metrics, design A/B tests, and iterate based on results. Collaborate cross-functionally with engineering, design, data science, marketing, and operations to balance short-term wins with long-term platform scalability. Rapidly ramp into new domains and deliver measurable improvements in conversion, retention, or revenue while translating ML/AI capabilities into growth outcomes.
Required Qualifications
- 7+ years of product management experience
- experience building and shipping consumer products at scale
- Proven experience working on growth, commerce, or monetization initiatives with measurable impact
- Strong understanding of acquisition funnels, monetization, retention drivers, and lifecycle optimization
- Comfortable working with experimentation frameworks and data-driven decision-making
- Ability to quickly absorb platform architecture and constraints while maintaining deep empathy for users
- Skilled at balancing business goals, user experience, and technical considerations
- Thrives in ambiguous environments and can prioritize effectively under time constraints
- Clear, concise communicator with strong stakeholder management skills
- A bachelor's or master's degree in computer science, statistics, business, media or a related field
Desired Qualifications
- Experience with subscription businesses, growth, and monetization
- Experience leading cross-functional initiatives that required influencing without direct authority
- Experience in experimentation and track record of driving impact
- Experience working in fast-paced, high-growth environments
- Demonstrates the ability to translate ML/AI capabilities into measurable growth outcomes across acquisition, engagement, retention, and monetization
- Strong understanding of model constraints, algorithms, and iteration cycles, with the ability to apply this knowledge to real product and user experience decisions
- Proven track record of partnering closely with ML engineering, data science, and cross-functional teams to ship scalable, production-ready solutions
- Data-driven mindset with hands-on experience in experimentation (A/B testing, cohort analysis) and defining success metrics to optimize performance
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