Technical Customer Success Manager - EMEA

This role asks for someone who can own relationships with a large set of paying customers, handling technical troubleshooting, configuration advice, and commercial conversations without handing off to specialists. A strong candidate is comfortable reading code, debugging issues, and understanding how product teams ship features, so they can help customers get real value from analytics, replays, and feature flags. They also need to stay organized across many accounts and act early when usage or revenue signals look unhealthy.

How it fits the AI era

AI tools can surface usage patterns and flag at-risk accounts faster, so the routine monitoring and first-pass triage become quicker. What stays human is the relationship: knowing the key people, understanding their priorities, and managing escalations with judgment. The role also involves helping customers use AI features like querying data through agents, which requires explaining and troubleshooting those workflows.

How it builds AI experience

Working here means gaining hands-on exposure to AI observability and agent-based querying of product data, since those are part of the platform customers use. A candidate can build relevant experience by learning how AI agents query and act on analytics data, and by practicing debugging AI-related integrations. The posting also invites building automations to help do the job, which is a practical way to grow those skills.

Worth showing

• Technical troubleshooting with code
• Product analytics fluency
• Session replay and flags
• Customer relationship ownership
• Managing many accounts

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Post Hog

All-in-one product analytics, session replay, and feature management platform for engineering teams.