The ad says“Experience using AI in day-to-day operations or in shipping AI-native products”
The ad says“Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel”
The ad says“You have meaningful professional experience working with data; you’ve developed APIs for an analytics product or held an analytics role at a digital product company, you’ve worked on an AdTech dashboard, or owned other complex products that analyze business data”
The ad says“Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel”
The ad says“You can define a data contract or integrate existing services with an MCP server”
The ad says“Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel”
The ad says“You have experience that’s relevant to Sensor Tower and our customers by working at a SaaS startup, in mobile, doing financial modeling, or in F2P gaming”
The ad says“You can define a data contract or integrate existing services with an MCP server”
The ad says“Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel”
The ad says“Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel”
The ad says“Experience using data to drive decision making- you are comfortable making complex SQL queries against our analytics data”
The ad says“Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel”
As a technical product manager focused on our mobile intelligence offering, you will help develop new data products that empower our users to make higher-impact decisions
You will engage with product leadership to develop roadmaps, collaborate with our engineering team on execution, and partner with business and account leaders to better understand our customer’s needs
You are excited about the possibilities that AI unlocks in developing digital products and can talk about how you’ve categorized unstructured data, vibecoded rapid prototypes, or generated insights with AI
You are passionate about the space and can point to independent projects or notable successes in previous roles
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
Benefits
A “hybrid” environment offering a choice between working in-office, remote, or a mix
Company-paid Health Insurance to support individual and family health
Wellness programs for physical fitness, mental health, and fertility planning
Retirement savings accounts to support investment in your future
Flexible Paid Time Off so employees can shape their time away from the office
Stipends for office and/or gym setup and home internet
Preferred experience
You have meaningful professional experience working with data; you’ve developed APIs for an analytics product or held an analytics role at a digital product company, you’ve worked on an AdTech dashboard, or owned other complex products that analyze business data
You have experience that’s relevant to Sensor Tower and our customers by working at a SaaS startup, in mobile, doing financial modeling, or in F2P gaming
You can define a data contract or integrate existing services with an MCP server
Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel
Experience using AI in day-to-day operations or in shipping AI-native products
College degree in Business or Computer Science, Master’s preferred
7-8 years of professional experience, preferably with SaaS company in data or in data roles at mobile or F2P gaming
Experience using data to drive decision making- you are comfortable making complex SQL queries against our analytics data
