
Job Overview
Location
US Full-time
Job Type
Full-time
Category
Customer Success
Date Posted
April 19, 2026
Full Job Description
đź“‹ Description
- • As a Scaled Customer Success Manager at TigerData Inc., you will own outcomes across a 1:many customer segment of approximately 1,500 accounts, directly impacting portfolio retention, driving qualified expansion (CSQLs), and increasing meaningful product adoption at scale.
- • Day to day, you will design and execute segmented engagement campaigns using HubSpot, Salesforce, and Outreach; build personalized monthly adoption email campaigns; launch and run a repeatable monthly webinar cadence; analyze product usage data to identify retention risk and growth opportunities; generate and qualify expansion leads; collaborate with RevOps and Marketing on lifecycle campaigns; leverage AI tools like Claude, ChatGPT, and Gemini to improve efficiency; and provide structured feedback to Product and Engineering based on customer insights.
- • TigerData Inc. (formerly Timescale) is a globally distributed, remote-first team building the fastest PostgreSQL platform for transactional, analytical, and agentic workloads, trusted by thousands of organizations worldwide to power real-time insights and critical infrastructure at scale.
- • In this role, you will develop expertise in scaling customer success motions, master data-driven engagement strategies, refine lifecycle campaign infrastructure, and gain hands-on experience applying AI to improve customer outcomes — all while contributing to the growth of a leading data infrastructure platform.
Skills & Technologies
About TigerData Inc.
TigerData Inc. provides a cloud-native data platform that unifies observability, analytics, and management for large-scale data lakes and warehouses. The platform offers continuous schema discovery, anomaly detection, usage tracking, and automated governance to improve reliability, cost-efficiency, and compliance. It supports open formats like Apache Iceberg and integrates with AWS, Snowflake, Databricks, and open-source engines. Designed for data engineers, analysts, and FinOps teams, TigerData enables rapid troubleshooting, policy enforcement, and performance optimization across multi-petabyte environments without moving or duplicating data.
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