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The Data Engineer will design and build data pipelines and models, prepare data for visualization with tools like Tableau, and assist internal customers with efficient Data Warehouse use. Responsibilities include monitoring data solutions for errors, improving ETL processes, leading system design initiatives, and performing code reviews.

The Customer Success Manager is responsible for onboarding customers, increasing user engagement and retention, and identifying upsell opportunities within assigned accounts. This role involves building strong relationships with key stakeholders to ensure customer satisfaction and protect revenue.

As an Account Manager at Pipedrive, you will be the main contact for customers, ensuring satisfaction while managing product adoption and retention. You'll handle the full sales cycle, identify upsell opportunities, and collaborate with internal teams to align customer strategies with organizational needs.

As a Sales Development Representative, you will perform discovery calls to gather and document prospect information, manage inbound and outbound sales inquiries, identify key prospects, and maintain accurate lead documentation in Pipedrive. You'll work closely with the sales team to foster relationships and understand customer needs.

The Customer Success Manager is responsible for onboarding high-value clients, enhancing user engagement, ensuring customer satisfaction, uncovering upsell opportunities, and acting as a trusted advisor to key stakeholders. This role includes managing relationships, providing tailored solutions, and advocating for client needs within the organization.

The Associate IT Support Engineer will support internal customers by improving endpoint security and managing technical solutions, executing tasks across technologies, helping business users, and creating procedures for better service management. Strong communication and teamwork skills are essential, along with basic technical proficiency in multiple platforms.

As a Data Scientist at Pipedrive, you will leverage advanced analytics to extract insights, collaborate with cross-functional teams, and create models for accurate predictions. You'll help optimize processes and identify opportunities for innovation by understanding business needs and employing machine learning techniques.