Product Manager - Web Insights
- Vancouver, BC
- On-site
- Posted Sep 3, 2026
- 1 position
Opens an external site
- Employment type
- Full-time
- Experience level
- Mid-level · 2+ years
- Minimum education
- Bachelor’s degree
- Apply by
- Oct 3, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Not Applicable
Job summary
Own the strategy and execution for web and generative AI analytics products to ensure they solve real customer problems. Collaborate with Data Science and Engineering to build data pipelines and ship features while partnering with GTM teams to drive adoption.
Job details
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's mission is to measure the world's digital economy. As the Product Manager for Web Insights, you'll own strategy and execution for our web and generative AI analytics products, ensuring they're accurate, intuitive, and solve real customer problems You'll be assigned high-impact initiatives sourced directly from active customer requests, such as building an SEO/competitive-traffic solution with raw URL-level traffic data, improving competitive discovery and reporting UX, and expanding GenAI citations and brand-visibility tracking. You'll interact directly with users and business stakeholders to gather detailed use cases and translate them into clear requirements. You'll collaborate with Data Science to refine and expand web traffic and engagement estimates, and share implementation and project management responsibilities with Engineering to ship new features and data pipelines. You'll also partner with Product Marketing and GTM to communicate the value of new capabilities and drive adoption of the Web Insights product. This is a great fit for a Product Manager who is energized by analytics products, comfortable getting into the data themselves, and excited about the web traffic, competitive intelligence, or digital marketing space. What You Will Work On Interview users to identify needs, workflows, and pain points related to web traffic and engagement data. Write clear technical requirements for new features, metrics, and data delivery solutions. Collaborate daily with Data Science and Engineering to prioritize, scope, and ship improvements to web estimates and product features. Propose and maintain a roadmap for future Web and Generative AI Insights releases. Analyze usage and product data to identify opportunities and measure the impact of shipped features. Communicate functional and business details of upcoming releases to less technical teams, including Marketing, Sales, Customer Success. Monitor data quality and accuracy of web estimates, working with Data Science to resolve issues and improve methodology. What We Are Looking For 3–5 years of professional experience, preferably in product management at a B2B or SaaS company. Experience working with data products, analytics platforms, or APIs. Comfortable with writing SQL and using data directly to inform product decisions. An interest in web analytics, competitive intelligence, digital marketing, or adjacent spaces (SEO experience is a strong plus). Familiarity with BI and analytics tooling (e.g., Snowflake, Tableau, Amplitude, Mixpanel) is a plus. AI-fluent and comfortable working daily with tools like Claude, building custom agents, and leveraging MCP integrations to move faster and unlock new workflows. Strong written and verbal communication skills, with the ability to translate technical concepts for non-technical audiences. Experience collaborating cross-functionally with Engineering, Design, and Sales/GTM teams. Degree in Computer Science, Engineering, or a related field is a plus, but not required. 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.
What you’ll do
Own the strategy and execution for web and generative AI analytics products to ensure they solve real customer problems. Collaborate with Data Science and Engineering to build data pipelines and ship features while partnering with GTM teams to drive adoption.
Requirements
Requires 3–5 years of professional experience in B2B or SaaS product management with proficiency in SQL and data products. Candidates should be AI-fluent and possess strong communication skills to translate technical concepts for non-technical stakeholders.
Listed skills
- Product management · Preferred
- SQL · Preferred
- Data analysis · Preferred
- Cross-Functional Collaboration · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Product Management
- SQL
- Web Analytics
- Competitive Intelligence
- Digital Marketing
- SEO
- Data Analysis
- Technical Requirement Writing
- Roadmap Planning
- Cross-functional Collaboration
- B2B SaaS
- Generative AI
- API Experience
- User Interviewing
- Product Strategy
Job areas
- Management & Leadership
- Data & Analytics
- Software
- Marketing
- Technology
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