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Here are some of the general responsibilities of a Mobile Product Marketing Manager:

- Develop Mobile Metrics Program.
- Perform detailed data analysis contributing to a monthly report process, to include identifying trends and interesting occurrences within network data.
- Work with Marketing teammates and Director of Corporate Communications to create stories around trends and interesting occurrences.
- Initiate quarterly regional Metrics reports and develop into an ongoing program.
- Drive network-wide and campaign-specific analysis to produce materials and formulate recommendations for Sales and Business Development.
- Analyze data from advertiser campaigns and publisher traffic to generate key network statistics.
- Identify trends and  opportunities.
- Create best practices based on analysis.
- Own analysis and interpretation of industry-level data.
- Track and regularly share relevant market-level research.
- Systematically mine available data for insights.
- Work with Marketing teammates to conduct and analyze proprietary research.

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Are there any qualifications to be a Mobile Product Manager?

- Loves mobile, new technology and excited about helping to build a business within this emerging industry.
- Interest in learning the mobile ecosystem (e.g., next gen platforms & smartphones).
- Avid user of mobile data & opinionated about the user experience.
- Interested in fast paced startup, to include eagerness for both the opportunities and challenges of an unstructured and nimble environment.
- Self-motivated, self-starter.
- Ability to quickly learn our internal systems and multiple data sources.
- Flexible & able to multitask.
- Strong interpersonal skills and ability to develop internal network to facilitate accomplishment of objectives.
- Interested in cross-functional work, wearing multiple hats and growing into a larger role.
- Excel superstar with strong analytical skills.
- Ability to aggregate and organize large quantities of data and distill into an understandable format.
- Ability to identify trends within data and question unusual occurrences.
- 3 to 5 years of relevant work experience.
- Prior responsibilities must include significant focus on data analysis.