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Technical Product Manager

Role overview

Qualifications

  • 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
  • College degree in Business or Computer Science, Master’s preferred

Responsibilities

  • 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

About the company

Sensor Tower logo

Sensor Tower

Data Analytics & Business Intelligence

Sensor Tower is the leading, trusted source of enterprise-grade market intelligence and performance metrics in the mobile app and digital advertising ecosystem. Founded in 2013, the company’s innovative mobile performance, trend insights, and ad network products offer enterprise-level data on the global app economy. From major retail brands to mobile-first startups, blue-chip companies, financial institutions, or private equity, Sensor Tower provides quality insights and leading customer support. Sensor Tower serves independent and Fortune 500 customers alike, spanning the mobile games, tech, finance markets and beyond.

Company details

Company typeSME
IndustryData Analytics & Business Intelligence
Company size201 - 500

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Job description

Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods, finance, and investment.

About this role:

Sensor Tower has a mission to measure the world’s digital economy. Our users rely on Sensor Tower to generate insights about the mobile app ecosystem; to identify new innovations, measure market trends, and analyze how the industry leaders have found success. 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 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 can define a data contract or integrate existing services with an MCP server. 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.

At Sensor Tower, you will own projects end-to-end. 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.

Salary range: 125,000 - 170,000 USD

What You Will Work On

  • 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.

What We Are Looking For

  • 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.

Fraud warning:

It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.

To all recruitment agencies:

Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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