AI-Driven Technical PM for Mobile Intelligence

Sensor Tower; San Francisco (CA); On-site; USD 125,000 - 170,000; Full time

Job summary

Sensor Tower in San Francisco is seeking a senior product manager focused on our mobile intelligence offering. You will own data products end-to-end, partnering with product, engineering, data science and business teams to translate customer needs into scalable features.

You will apply AI to unlock insights, define technical requirements and drive releases. A SaaS data background and strong SQL skills are essential for enterprise clients.

Qualifications

• 7-8 years of professional experience in SaaS data or mobile/F2P gaming roles.
• Experience using AI in day-to-day operations.
• Familiarity with BI tools like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel.
• Experience using data to drive decision making via SQL queries.
• Bachelor's degree in Business or Computer Science; Master’s preferred.

Responsibilities

• Interview customers and analyze analytics data to identify user needs and pain points.
• Propose new features and enhancements to solve user problems.
• Win buy-in for your proposals across Product, Engineering, Data Science and Business teams.
• Develop technical requirements.
• Partner with Data Science to define estimation methodologies, validate model outputs against ground truth, and ensure the 'explainability' of our metrics for enterprise clients.
• Daily collaboration with Engineering teams during development of new features.
• Communicate functional and business details of future releases with less technical teams including Marketing, Accounts, Success and Documentation.

Skills

Data-driven decision making

Cross-functional leadership

SQL proficiency

Product management

AI experience

Education

Bachelor's degree in Business or Computer Science

Master’s degree preferred

Tools

Snowflake

AWS

Databricks

Tableau

Amplitude

Mixpanel

Job description

Sensor Tower in San Francisco is seeking a senior product manager focused on our mobile intelligence offering. You will own data products end-to-end, partnering with product, engineering, data science and business teams to translate customer needs into scalable features.

You will apply AI to unlock insights, define technical requirements and drive releases. A SaaS data background and strong SQL skills are essential for enterprise clients.