The ad says“AI-fluent and comfortable working daily with tools like Claude, building custom agents, and leveraging MCP integrations to move faster and unlock new workflows”
The ad says“AI-fluent and comfortable working daily with tools like Claude, building custom agents, and leveraging MCP integrations to move faster and unlock new workflows”
The ad says“AI-fluent and comfortable working daily with tools like Claude, building custom agents, and leveraging MCP integrations to move faster and unlock new workflows”
The ad says“Comfortable with writing SQL and using data directly to inform product decisions”
Values
The ad says“Familiarity with BI and analytics tooling (e.g., Snowflake, Tableau, Amplitude, Mixpanel) is a plus”
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
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
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
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
An interest in web analytics, competitive intelligence, digital marketing, or adjacent spaces (SEO experience is a strong plus)
3–5 years of professional experience, preferably in product management at a B2B or SaaS company
Degree in Computer Science, Engineering, or a related field is a plus, but not required
Experience working with data products, analytics platforms, or APIs
Comfortable with writing SQL and using data directly to inform product decisions
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
