Director of Product, Personalization (AI)

Location: Hybrid in New York, NY, United States

Salary: $220K–$245K annually, plus bonus

Company

hirify.global delivers cybersecurity, online privacy, identity protection, and financial wellness solutions through consumer brands including Norton, Avast, LifeLock, and MoneyLion.

What you will do

• Own the product strategy and roadmap for MoneyLion’s personalization engine, including signal ingestion, ranking logic, real-time decisioning, experimentation, and measurement.
• Define personalized engagement feed strategy, content and card-level personalization, ranking, calls to action, and engagement mechanics.
• Partner with data science and engineering to evolve personalization from rule-based approaches to model-driven experiences.
• Connect personalization capabilities with lifecycle communications across push notifications, email, and in-app messaging.
• Coordinate priorities and dependencies across Membership, PFM, Credit, Onboarding, and other product domains.
• Define success metrics, represent personalization in roadmap and resource planning, and build the product team over time.

Requirements

• 7+ years of product management experience, including at least 2 years in a lead or senior product manager role owning a significant product area.
• Demonstrated experience building personalization, recommendation, feed-based, or ML-driven products at consumer scale.
• Strong first-principles and customer-first thinking, with the ability to combine qualitative insight and quantitative data.
• Experience working directly with data science and ML engineering teams to ship model-driven product experiences, including defining inputs, success metrics, and evaluation criteria.
• Exceptional cross-functional influence, stakeholder alignment, ambiguity navigation, and connector-oriented collaboration across product domains.
• Experience in fintech, consumer finance, or high-growth consumer applications.
• Bachelor’s degree in Computer Science, Engineering, Business, or a related field.

Nice to have

• Experience with lifecycle or CRM products, including push notifications, email, and in-app messaging.
• Familiarity with ML infrastructure, feature stores, or experimentation platforms such as Statsig, Optimizely, or internal ML platforms.
• SQL proficiency and fluency with analytics tools such as Amplitude, Looker, or similar.
• Experience in a horizontal or platform role serving multiple product domains.
• Ability to assess inherited foundations quickly, build credibility, and establish a clear path forward.

Culture & Benefits

• Flexible working options, time off, competitive pay, benefits, and well-being programs.
• Environment focused on healthy debate, experimentation, continuous learning, and customer-driven execution.
• Inclusive workplace that values different experiences, identities, and ideas.
• Supportive colleagues and tools to help people perform and grow their careers.

Hiring process

• TA call.
• Virtual hiring manager interview.
• Take-home assessment followed by a virtual hiring team interview.