Customer Success Manager
About This Role
About us JobHire.AI is building a vertical AI agent that automates job search for professionals. We help thousands of users land interviews by finding, tailoring, and applying to jobs on their behalf — at scale and with precision. We’re profitable, growing fast, and now entering a phase of deep product refinement and organic growth through exceptional UX and perceived value. 📈 ~35% MoM; top 1% in growth rate 💰 Profitable from day one 👥 40 people 🚀 Investors: Deel Ventures, Daniel Gutenberg, Dave Waiser, Margulan Seisembayev, and other unicorn founders. Mission JobHire.ai is a personal AI agent for continuous professional development and happiness at work Why this role now? As we scale, we don’t just need more conversations - we need a smarter system. Customer Success at JobHire.AI is evolving from a purely manual support layer into a hybrid human + automation engine that drives activation, and retention revenue. We’re looking for a Customer Success Manager who can operate on two levels: 50% hands-on: talking to users, diagnosing friction, running human recovery. 50% system-building: automating recovery flows, improving Intercom logic, launching lifecycle campaigns, and continuously optimizing retention funnels. This is not a “senior agent” role. This is a builder role. What you’ll do:1️⃣ Operate in the field (Customer-facing layer): Run high-impact conversations via chat and calls with at-risk or high-value users. Lead complex human recovery cases. Identify root causes of churn, dissatisfaction, and low activation. Gather structured feedback and convert insights into product/UX improvements. 2️⃣ Build the recovery & activation system (Automation layer): Design and optimize automated onboarding & recovery flows. Launch behavioral lifecycle campaigns (low activity, no interviews, etc.). Configure and improve Intercom campaigns, triggers, segmentation, tagging. Improve messaging clarity, positioning, and perceived value. Experiment with A/B testing in activation and recovery funnels. Use light no-code / low-code tools and AI (LLMs, prompt design, vibe coding) to improve workflows. Turn manual patterns into scalable automation. Key success metrics for the candidate: Activation rate: % of users who fully complete their profile within the first week. Target: 95%+ Early-stage retention rate: % of at-risk users during the first week who remain active after Customer Success interaction. Target: 20% Additional product conversion: % of users who purchase resume review or other paid add-ons after interaction. Target: 20% Reduction in manual workload per recovered user. You might be a great fit if you… Have 3+ years of experience in customer success, sales, account management, or support-driven sales with US-based customers. Fluent English and Russian. Ability to work 40 hours per week in the USA time zone or USA+EU. Comfortable working proactively, not waiting for tickets. Strong persuasion, negotiation, and objection-handling skills. Data-driven mindset: you care about conversion, retention, and unit economics. Comfortable working with daily targets, funnels, and KPIs. High-speed internet connection (VPN-free). Why Join Now? JobHire.AI is mission-driven, fast-moving, and profitable. You’ll shape the experience of a product that directly improves people’s careers and lives. Brilliant team of the strongest A players from McKinsey, Nexters, Gett, Glovo. Remote work - work/life balance. Competitive package. 38 days Off (vacation + local holidays) and sick leave. You’ll have massive ownership and leverage from day one - ownership/freedom.
Responsibilities
The role involves operating on two levels: 50% hands-on customer interaction to diagnose friction and lead human recovery, and 50% system-building to automate recovery flows and optimize retention funnels.
Requirements
Candidates need 3+ years of experience in customer success or related fields dealing with US-based customers, fluency in English and Russian, and a proactive, data-driven mindset focused on targets and KPIs.
Benefits
Skills & Tags
Keywords
Categories
Source: workable