
Job Overview
Location
Remote (US)
Job Type
Full-time
Category
Customer Success
Date Posted
June 26, 2026
Full Job Description
📋 Description
- • Work a pooled portfolio of 1,000+ already-paying PostHog accounts using a signal-driven prioritization engine, with no named book of accounts or territory ownership.
- • Prioritize outreach based on product usage signals, billing thresholds, adoption gaps, and retention risk — focusing on accounts approaching billing limits, ready for credit conversion, or showing declining usage.
- • Lead credit conversions for monthly-billing accounts by offering the 10% discount tier for prepaid commitments, unlocking committed revenue from customers who have never been offered a human-led pricing conversation.
- • Drive cross-sell opportunities by identifying gaps in product adoption (e.g., underutilized features like session replay, feature flags, or SQL insights) and guiding customers toward relevant use cases.
- • Proactively intervene with accounts showing usage drops to diagnose root causes and re-engage before churn, leveraging onboarding history and engagement context.
- • Transfer accounts that exceed $1,667 MRR into the existing Technical Account Manager (TAM) qualification flow with a warm, data-backed handoff.
- • Provide continuous feedback to refine the signal engine that surfaces high-potential accounts, improving its accuracy and effectiveness through real-world outreach outcomes.
- • Write scalable, reusable handbook content including email sequences, outreach templates, and use-case one-pagers that systematize the growth motion beyond this role.
- • Feed product intelligence back to product teams: identify top requested features, UX friction points, and competitive weaknesses observed in this customer segment.
- • Focus exclusively on accounts that have graduated from the 8-week onboarding program — these accounts have documented engagement history and are no longer owned by Onboarding Specialists.
- • Avoid all inbound leads, cold outbound to non-CRM companies, enterprise deal cycles, multi-threaded org selling, or technical troubleshooting of SDKs/ingestion unless it directly blocks revenue expansion.
- • Operate in a fully async, remote-first environment with meeting-free Tuesdays and Thursdays, prioritizing deep work over coordination.
- • Build the playbook from scratch; this is PostHog’s first systematic human-led expansion effort for mid-tier, usage-based accounts — no existing process to inherit.
- • Work autonomously with full ownership over your time and priorities, choosing which signals to act on based on impact potential and personal motivation.
- • Collaborate with engineering and product teams using technical fluency to discuss analytics, experimentation, and product functionality without requiring an SE on every call.
- • Operate within a strict MRR band: accounts must be between $500 and $1,667 MRR; accounts outside this range are owned by other teams.
- • Contribute to a culture of radical transparency by accessing public company handbook, revenue data, and board-level strategy to inform decision-making.
- • Embrace a ‘weird’ and experimental culture — test unconventional outreach tactics, iterate rapidly, and ship learning even if it fails.
- • Be part of a founding role on a new product-led growth team with the potential to scale into a team if the model proves successful.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
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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