{"id":73096,"url":"https://alion.io/job/sensor-tower-technical-product-manager-11","title":"Technical Product Manager","company":{"id":3805,"name":"Sensor Tower","domain":"sensortower.com","url":"https://alion.io/company/sensor-tower","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":76,"open_postings":18,"ghost_share":0,"stale_share":0.944,"repost_share":0,"time_to_fill_p50_days":47,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":125000,"max":170000,"currency":"USD","period":"year","gross":null,"usd_annual":170000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-04-16T21:35:44Z","employer_posted_date":"2026-04-16","last_verified_at":"2026-10-17T03:34:30Z","board_verified":true,"closed_at":null,"days_open":183,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":183},"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 and finance.\nAbout this role:\nSensor 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.\nYou 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.\nAt 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.\nSalary range: 125,000 - 170,000 USD\nWhat You Will Work On\nInterview customers, analyze feedback and analytics data to identify user needs and pain points.\n\nPropose new features and enhancements to solve user problems.\n\nWin buy-in for your proposals across Product, Engineering, Data Science and Business teams.\n\nDevelop technical requirements.\n\nPartner with Data Science to define estimation methodologies, validate model outputs against ground truth, and ensure the 'explainability' of our metrics for enterprise clients.\n\nDaily collaboration with Engineering teams during development of new features.\n\nCommunicate functional and business details of future releases with less technical teams including Marketing, Accounts, Success and Documentation.\n\nWhat We Are Looking For\n7-8 years of professional experience, preferably with SaaS company in data or in data roles at mobile or F2P gaming.\n\nExperience using AI in day-to-day operations or in shipping AI-native products.\n\nFamiliarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel.\n\nExperience using data to drive decision making- you are comfortable making complex SQL queries against our analytics data.\n\nCollege degree in Business or Computer Science, Master’s preferred.\n\nFraud warning:\nIt'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.\nTo all recruitment agencies:\nSensor 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.\nWe 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. 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