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Sensor Tower

Technical Product Manager

Sorry, this job was removed at 06:01 a.m. (PST) on Friday, Apr 17, 2026
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Remote or Hybrid
Hiring Remotely in Seattle, WA, USA
125K-170K Annually
Remote or Hybrid
Hiring Remotely in Seattle, WA, USA
125K-170K Annually

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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.

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.

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

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