Technical Product Manager

🔥 3 hours ago

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Logo of Sensor Tower

Sensor Tower

201 - 500 employees

☁️ SaaS

📣 Marketing

🔥 Funding within the last year

💰 Corporate Round - Sensor Tower on 2025-10

SaaS • Marketing

Sensor Tower is a digital market insights company. Sensor Tower provides an award-winning digital market insights platform that delivers transparency across mobile apps, digital advertising, audiences, gaming, and web. It collects data via a global first-party consumer panel and app store APIs, aggregates and enriches anonymized data, and reports actionable metrics including app downloads, revenue, engagement, ad share-of-voice, creatives, and cross-platform audience and web behavior. Its product suite includes App Performance Insights, App Advertising Insights, Gaming Insights (GameIQ), Audience Insights, Web Insights, and Pathmatics for omnichannel advertising intelligence.

📋 Description

• Interview customers, analyze feedback and 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.

🎯 Requirements

• 7-8 years of professional experience, preferably with SaaS company in data or in data roles at mobile or F2P gaming. • Experience using AI in day-to-day operations or in shipping AI-native products. • Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel. • Experience using data to drive decision making- you are comfortable making complex SQL queries against our analytics data. • College degree in Business or Computer Science, Master’s preferred.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options

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