# Product Manager - Customer Analytics

**Company:** [Broccoli AI](https://hotfix.jobs/companies/broccoli-ai)
**Location:** San Francisco, CA
**Role:** Product Management
**Experience:** 5+ years
**Skills:** SQL, ClickHouse, Business Intelligence, Data Analytics, Product Management, dashboard design, Data Warehousing, embedded analytics, Data Visualization, revenue analysis
**Posted:** 2026-08-11

> Own Broccoli's customer-facing analytics and BI roadmap, personally building dashboards and analyses that turn operational data into business decisions. The role requires 5–10 years in product management, analytics, or BI, excellent SQL, warehouse fluency, and experience delivering analytics to external users.

## Job Description

## Responsibilities
- Own Broccoli's customer-facing analytics and business intelligence surface, from hand-built dashboards for top customers through the roadmap for turning insights into product features.
- Partner directly with customers to translate their needs into core views and insights that improve business decisions.
- Build performance dashboards, revenue analyses, and cross-customer benchmarks using Broccoli data and customers' operational data.
- Determine how analytics are delivered, including through customers' existing tools, Broccoli tools, or the product itself.
- Own the BI roadmap and prioritize insights, templates, automated workflows, and predictive product capabilities.
- Identify and interpret datasets that drive customer decision-making.

## Requirements
- 5–10 years of experience in product management, analytics, or business intelligence.
- Experience owning a data, analytics, or reporting surface and turning operational data into decisions.
- Experience delivering analytics to external users, such as through customer-facing reporting, embedded analytics, or client-facing analytical work.
- Excellent SQL skills and comfort working directly in a data warehouse.
- Hands-on dashboard-building experience using a BI platform, code, or AI tools.
- Experience with ClickHouse or comparable analytical data warehouses.
- High agency, strong business judgment, and end-to-end ownership.
- Willingness to work in-office five days per week.

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