
11 - 50 employees
Founded 2016
💼 Consulting
📣 Marketing
📦 Logistics
💰 $751k Series A on 2018-07
Consulting • Marketing • Logistics
ClearlyRated is an experience management platform designed for B2B service firms. It provides tools and insights to measure customer and employee satisfaction through surveys and Net Promoter Score (NPS) calculations, allowing businesses to enhance their reputation and grow by leveraging client and employee feedback. The platform offers features such as third-party validated ratings, reviews, and benchmarking, along with real-time analytics. ClearlyRated is widely used by industries such as accounting, HR services, insurance, IT services, and legal services to improve customer experience and engagement, reduce churn risks, and increase operational efficiency.
🔥 26 minutes ago
Where this job comes from
Posted on ClearlyRated's careers page, not through a job board
First seen by Remote Rocketship 26 minutes ago
Still open on ClearlyRated's site. Checked 7 minutes ago.

11 - 50 employees
Founded 2016
💼 Consulting
📣 Marketing
📦 Logistics
💰 $751k Series A on 2018-07
Consulting • Marketing • Logistics
ClearlyRated is an experience management platform designed for B2B service firms. It provides tools and insights to measure customer and employee satisfaction through surveys and Net Promoter Score (NPS) calculations, allowing businesses to enhance their reputation and grow by leveraging client and employee feedback. The platform offers features such as third-party validated ratings, reviews, and benchmarking, along with real-time analytics. ClearlyRated is widely used by industries such as accounting, HR services, insurance, IT services, and legal services to improve customer experience and engagement, reduce churn risks, and increase operational efficiency.
• Define and prioritize AI use cases with clear inputs, outputs, and measurable business outcomes. • Build the AI roadmap, including a business case and monetization view for each use case. • Prototype quickly and test hypotheses with customers. • Partner with engineering on the data layer and AI strategy, including the data lake and AI layer. • Own validation by defining success metrics, running pilots, and reporting results to leadership. • Write concise use-case and decision documents for engineering, customer success, and sales. • Work with customer success on pilot design and customer feedback, including the Customer Advisory Board. • Shape packaging and pricing for AI features alongside leadership. • Report to the VP of Product.
• 3–4 years of product management experience. • Hands-on experience with AI products: built with LLMs and shipped or prototyped AI features. • Comfort prototyping with AI tools, low-code tools, or light code. • Data fluency with metrics, experiments, and customer data. • Clear written communication. • Builder's mindset; moves fast, learns from real usage, and is comfortable with ambiguity.
• Startup experience, where you owned outcomes across product, design, and engineering. • Experience in SaaS, CX, survey, or feedback analytics. • Familiarity with AEC or professional services customers. • Experience pricing or packaging AI features.
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