Customer Success Manager- SMB

This customer success manager role ensures client satisfaction and retention by managing relationships and driving product adoption. The manager will onboard new clients, conduct business reviews, and identify growth opportunities.

Customer-facing role focused on ensuring client satisfaction, retention, and growth, involving onboarding, training, and building strong customer relationships.

The Mid Market Customer Success Manager is responsible for owning and growing relationships with mid-market customers, focusing on driving product adoption, retention, and expansion. The role involves implementing customer success best practices and collaborating cross-functionally to ensure customer satisfaction and business growth.

This role manages customer relationships to ensure satisfaction and retention. The CSM will onboard clients, provide ongoing support, and identify opportunities for upselling and expansion.

This role owns the administration and optimization of the Atlassian ecosystem (Jira, JPD, Confluence) at Similarweb, turning engineering data into actionable insights through dashboards and KPIs. The Program Manager will lead cross-functional projects to improve engineering efficiency, drive operational excellence, and build AI-powered automations to scale operations. Requires 3+ years of experience, a Bachelor's in Industrial Engineering or equivalent, and hands-on Atlassian administration expertise.

This Senior Product Data Scientist owns the investors vertical, working directly with hedge funds, private equity, and venture capital firms to build datasets and data feeds for investment decisions. The role involves handling complex custom requests, building custom reports end-to-end, and partnering with engineering to scale solutions. Requires 3+ years of Python/SQL/pySpark experience, background in investment industry or data provider, and strong client-facing skills.

This Data Team Lead manages and mentors a team of data engineers, architecting scalable cloud data pipelines on AWS with Python and Spark, and integrating AI/LLM agentic workflows. The role also involves serving as a technical lead for enterprise clients, leading discovery sessions, scoping custom data solutions, and handling escalations. Requires 5+ years in data engineering with 2+ years in leadership, strong Python and PySpark skills, and experience with customer-facing technical roles.