Customer Success Ops/Data Engineer, WEKA

• The ideal candidate is passionate about architecting scalable solutions, automating processes, and leveraging data to unlock insights into the customer lifecycle
• 1-3 years of experience in a data engineering, business intelligence, or technical operations role
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent experience
• Advanced proficiency in SQL and experience with data warehousing solutions (e.g., BigQuery, Snowflake, Redshift)
• Strong experience with at least one programming language for data manipulation and automation, such as Python or R
• Proven experience building and maintaining ETL/ELT pipelines and managing data integrations between different SaaS platforms
• A strong operational mindset with a passion for process improvement, automation, and scalability
• Excellent analytical and problem-solving skills, with the ability to translate business needs into technical solutions
• A deep sense of intellectual curiosity and a proactive drive to explore data, understand customer challenges, and uncover new opportunities for improvement

Desirable

• We are seeking a highly skilled and analytical Customer Success Operations & Data Engineer to join our team
• This role is a unique hybrid, sitting at the intersection of data engineering, business operations, and customer success
• You will be the technical backbone of the CS organization, responsible for designing, building, and maintaining the systems, data pipelines, and processes that enable us to operate efficiently and make data-driven decisions
• Design, build, and maintain robust and scalable data pipelines (ETL/ELT) to consolidate customer data from various sources into our central data warehouse
• Develop and manage data models within the CS data ecosystem to support analytics, reporting, and operational workflows
• Own the data integrity and quality for all customer-related metrics, ensuring accuracy and reliability for business-critical reporting
• Administer and optimize our Customer Success tech stack (e.g., Salesforce, Pager Duty, Notion, etc.), managing integrations, and ensuring seamless data flow between systems
• Identify operational bottlenecks and design automated solutions to improve the efficiency and effectiveness of the Customer Success team
• Develop custom tools and solutions that empower the CS team to seamlessly ingest customer data, build a comprehensive view of the customer journey, and help diagnose and resolve customer issues more efficiently.
• Lead projects to evaluate, implement, and operationalize AI/ML tools to drive predictive insights, such as churn risk, expansion opportunities, and customer sentiment analysis
• Build the infrastructure required to support advanced analytics and the deployment of AI-powered tools within the CS workflow