обновлено 3 дня назад
Principal Product Manager (AI)
243 000 - 328 500$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Product Manager (AI): Building AI-first growth experiences, personalization engines, and predictive engagement models for mid-market financial software customers with an accent on product-led growth, experimentation, and funnel optimization. Focus on designing activation and revenue journeys, analyzing behavioral data, and driving measurable improvements in engagement, retention, and monetization.
Location: Mountain View, California, United States
Salary: $243,000–$328,500 annual base pay, plus cash bonus, equity rewards, and benefits
Company
Financial technology platform providing QuickBooks, TurboTax, Credit Karma, Mailchimp, and other products for customers worldwide.
What you will do
- Define and execute growth strategies and customer journeys across onboarding, activation, engagement, retention, and revenue expansion.
- Own short- and long-term roadmaps, prioritizing experiments and connecting learnings to durable business outcomes.
- Lead the A/B testing roadmap across product surfaces including homepages, onboarding, subscriptions, and billing.
- Build AI-first experiences such as personalization engines and predictive engagement models.
- Use customer behavior analysis, funnel analytics, ML models, and KPI frameworks to identify opportunities and guide decisions.
- Partner with engineering, design, data science, growth marketing, and senior leadership to deliver scalable growth initiatives.
Requirements
- 10+ years of product management experience focused on product-led growth, funnel optimization, or growth engineering in a B2B or SaaS environment.
- Bachelor’s degree in Computer Science, Business, Engineering, or a related field.
- Deep experience with product experimentation and A/B testing, with measurable improvements in activation, engagement, or retention.
- Strong analytical skills and fluency with behavioral data, site analytics, funnel metrics, and customer feedback loops.
- Experience with AI/ML-driven personalization and predictive engagement models.
- Excellent communication, executive influence, and cross-functional collaboration skills, plus comfort with ambiguity and early-stage organization building.
Nice to have
- Advanced degree.
- Experience establishing or scaling a product growth function.
Culture & Benefits
- Pay-for-performance compensation approach.
- Cash bonus eligibility, equity rewards, and benefits.
- Regular compensation comparisons across ethnicity and gender categories to support fair pay.
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