Enterprise Success Manager

Role Overview

• Build trusted relationships with operational and Executive-level contacts, becoming a strategic advisor on high-impact digital business topics.
• Build data-driven success plans aligned to clients' Key Business Objectives, mapping strategic contacts across key accounts to ensure strong retention.
• Drive adoption of all Contentsquare products (including Product Analytics -from the acquisition of Heap), helping teams leverage event-based and retroactive behavioral data to understand user activation, feature adoption, and retention across web and mobile.
• Champion Contentsquare's AI-powered capabilities (Sense Analyst, MCP integration), guiding customers from platform-dependent workflows to AI-native insight generation across their tools (Claude, ChatGPT, Microsoft Copilot, etc.).
• Engage data-mature customers around Data Connect (behavioral data exports to Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric), working cross-functionally to unlock value within their existing data ecosystems.
• Drive renewals and build upsell/cross-sell strategy in close collaboration with Sales, identifying expansion opportunities across Data Connect, MCP, Sense Analyst, and Product Analytics.
• Proactively leverage data to monitor portfolio performance and anticipate critical situations.
• Maintain best-in-class usage of CS tools (Gainsight, Salesforce, Tableau & Dust) and collaborate with peers to continuously improve practices.
• Stay current on market trends and the broader tech ecosystem (analytics, AI, data warehouses) and represent Contentsquare as a public speaker internally and externally.

Requirements

• 5+ years in high-touch enterprise Customer Success, Account Management, or Senior Consulting or deep expertise with Contentsquare and/or standard analytics products.
• Proven ability to build long-term relationships at both C-level and operational levels.
• Exceptional written and oral communication in French and English; additional European languages are a plus.
• Strong knowledge of the analytics landscape: Digital Experience Analytics, Product Analytics (event-based, retroactive), A/B testing, and data-led product development.
• Familiarity with the modern data and AI ecosystem: data warehouses (Snowflake, BigQuery, Databricks) and LLM-based tools (ChatGPT, Claude, Microsoft Copilot).
• Experience collaborating with Sales to drive growth, with a proactive, structured, and ownership-driven mindset.
• Passion for technology, AI-powered products, and the SaaS business model.

Tech Stack

• Amazon Redshift
• BigQuery
• Tableau

Benefits

• Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year
• Work flexibility: hybrid and remote work policies
• Generous paid time-off policy (every location is different)
• Lifestyle allowance
• A Culture Crew in every country we’re based in to coordinate regular activities for employees to get to know each other and bond outside of work
• Every full-time employee receives stock options, allowing them to share in the company’s success
• We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts
• And more benefits tailored to each country