Product Manager (AI Mobile)

Location: San Francisco, United States

Salary: $230,000–$330,000 per year plus equity. USD ranges apply to U.S.-based positions; international compensation is based on the local market.

Company

hirify.global builds AI-powered products that help people research, discover information, and turn knowledge into action.

What you will do

• Define the product direction and long-term vision for native mobile experiences across iOS and Android.
• Identify high-leverage mobile user problems and deliver fast, intuitive, cohesive, and dependable experiences.
• Develop AI interaction models, defaults, and feedback systems that make complex model behavior understandable and controllable on small screens.
• Partner with engineering, design, data science, and research to evaluate experiments and guide AI products toward valuable user outcomes.
• Drive alignment across mobile, web, backend, and multiple teams while communicating decisions, tradeoffs, progress, and learnings to leadership.
• Improve mobile product-led growth, engagement, retention, performance, and reliability.

Requirements

• 4+ years of product management experience with strong product leadership.
• Experience shipping and scaling high-quality consumer mobile products on iOS or Android.
• Deep understanding of native mobile interaction patterns, platform capabilities, performance, and reliability.
• Strong experience working with data, metrics, experimentation, and data visualization.
• Strong communication and writing skills, deep user empathy, analytical rigor, and excellent product judgment.
• Initiative, ownership, and the ability to thrive in a small, agile team.

Culture & Benefits

• Mission focused on powering curiosity through continuous learning, building, and integration.
• U.S. full-time employees receive equity, health, dental, vision, retirement, fitness, commuter, and dependent care benefits.
• International full-time employees receive benefits tailored to their region of residence.
• Work closely with design, engineering, research, data science, and leadership in a small, agile environment.