Customer Success Engineer

Join Insycle as a Customer Success Engineer, where you'll own a portfolio of customers and drive adoption, optimize usage, and provide expert validation. You'll act as a strategic advisor, guiding customers with a hands-on approach and helping them understand the value of Insycle as the core, governed data layer for their CRM. This hybrid role requires strong relationship-building skills, data fluency, and a passion for improving processes.

Are curious but intentional. You ask great questions, form hypotheses, test quickly, and measure impact

Responsibilities

• Gérer un portefeuille de clients en supervisant leur intégration, leur utilisation active et leur renouvellement.
• Promouvoir l'adoption et l'utilisation optimale des produits Insycle, en aidant les clients à passer d'une utilisation ponctuelle à une utilisation intégrée.
• Agir en tant que conseiller stratégique, en fournissant des conseils pratiques et en partageant des meilleures pratiques pour améliorer les processus de données.
• Enjoy collaborating, stay positive and energetic under pressure, and embody being helpful in every interaction

Requirements

• Are highly technical, with the ability to learn quickly and become a product expert
• Are comfortable with CRMs and data workflows (HubSpot or Salesforce), and you can troubleshoot technical issues
• Have 3+ years in Customer Success, onboarding, solutions consulting, or a similar technical, customer-facing role at a B2B SaaS company
• Are hungry to improve processes and move the company forward; you notice patterns, propose scalable fixes, and follow through
• Have experience partnering with RevOps or data teams, acting as a hands-on strategic advisor
• Are a self-starter with a bias to action. You see what’s needed, take ownership, and create improvements without being asked
• Communicate clearly across chat, email, and Zoom with video on; you can translate complex topics into simple, friendly guidance and are comfortable communicating with various stakeholders
• Align with our mission: make working with data easy, fun, and not scary

Pay

USD 80,000 - 100,000