Product Growth Lead - Data-Driven, Cross-Functional

Meta; Topeka (KS); On-site; USD 134,000 - 189,000; Full time

Job summary

Meta is seeking a Growth Analyst lead to steer growth initiatives across major product areas in the United States. This role embeds within product teams, leveraging data analysis, ideation, and experiments to optimize user experiences and drive measurable growth.

You will collaborate with engineers, designers, PMs, and data scientists to translate insights into product actions. The ideal candidate has a strong background in quantitative analysis, multi-disciplinary teamwork, and experience

Qualifications

• Bachelor's degree or equivalent practical experience.
• 4+ years in analytical or product roles.
• 4+ years in analytics and SQL.
• 4+ years solving analytical problems with quantitative approaches and leading data-driven projects.
• Proven ability to collaborate across technical and non-technical functions.
• Experience with cross-disciplinary product teams.

Responsibilities

• Lead growth strategy across a large product area and align teams.
• Drive long-term growth via data analysis, ideation, and experimentation to optimize experiences.
• Understand user behavior and product usage to influence growth strategy.
• Identify and prioritize opportunities for long-term growth.
• Collaborate with engineers and product teams; lead experiments from design to launch.

Skills

Growth strategy

Cross-team alignment

Data analysis

Experiment design

User behavior analysis

Product ideation

Multi-disciplinary collaboration

Quantitative analysis

Exploratory analysis

AI tools in workflows

Prompt engineering

Education

Bachelor's degree or equivalent

Tools

SQL

Job description

Meta is seeking a Growth Analyst lead to steer growth initiatives across major product areas in the United States. This role embeds within product teams, leveraging data analysis, ideation, and experiments to optimize user experiences and drive measurable growth.

You will collaborate with engineers, designers, PMs, and data scientists to translate insights into product actions. The ideal candidate has a strong background in quantitative analysis, multi-disciplinary teamwork, and experience