
Job Overview
Location
Remote
Job Type
Full-time
Category
Customer Success
Date Posted
April 26, 2026
Full Job Description
đź“‹ Description
- • As a Technical Customer Success Manager at PostHog, you will be the primary point of contact for 25-40 high-value customers in the $20k-$100k+ ARR range, ensuring their retention, satisfaction, and long-term success by acting as their trusted advisor and technical advocate.
- • Your day-to-day responsibilities include building deep relationships with key stakeholders at customer companies, owning customer feedback and ensuring it reaches internal product and engineering teams, investigating and resolving technical issues independently (including debugging, configuration advice, and occasionally contributing code fixes via pull requests), and maintaining high responsiveness across Slack, email, and support tickets.
- • You will monitor product usage and revenue data to proactively identify at-risk customers and intervene early to prevent churn, while also supporting contract renewals and pricing discussions without engaging in aggressive upselling.
- • PostHog is a fully remote, product-led company backed by over $100M in funding, serving more than 100,000 companies with an expanding suite of developer-focused tools including product analytics, session replay, feature flags, data warehouses, and AI-powered insights. The company values transparency, autonomy, rapid shipping, and building time, operating with a maker’s schedule and async-first culture.
- • In this role, you will develop deep expertise in PostHog’s product suite, strengthen your technical and consultative skills, influence product direction through customer insights, and grow your ability to manage complex customer relationships at scale — all while working in a highly transparent, innovative, and engineer-driven environment.
Skills & Technologies
About PostHog Inc.
PostHog provides an open-source product analytics platform that lets teams track user behavior, run A/B tests, and gather feedback without sending data to third parties. The self-hosted or cloud service captures events, pageviews, feature flags, and session recordings, then surfaces insights through dashboards, funnels, retention, and cohort analysis. Engineers can instrument code once and non-technical teammates can query results using SQL or visual builders. The company maintains the core project under an MIT license and offers paid tiers for enterprise support, higher volumes, and advanced features such as correlation analysis, data pipelines, and team collaboration tools.
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