Customer Success Manager
Job Description
Job Title: Customer Success Manager
Job Type: Contractor
Location: Remote
Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Key Responsibilities:
Design, review, and optimize AI training scenarios and customer support workflows for diverse use cases.
Manage and guide teams of operational and Customer Success analysts, ensuring best practices and performance excellence.
Collaborate cross-functionally to deliver insightful feedback that enhances both customer engagement and AI training outcomes.
Analyze workflow data and customer interactions using tools such as Zendesk, Intercom, Gorgias, and ServiceNow to identify areas for improvement.
Create and refine customer service scenarios, knowledge base materials, and escalation processes based on real-world challenges.
Deliver clear, actionable feedback to operational teams while driving continuous improvement initiatives.
Utilize Slack, Gmail, and calendar management tools to coordinate team activities and maximize productivity in a remote environment.
Required Skills and Qualifications:
4+ years of experience in Customer Success Management or related fields, with proven leadership of CS or operational analyst teams.
Deep familiarity with customer support platforms including Zendesk, Intercom, Gorgias, and ServiceNow.
Demonstrated ability to design effective AI training tasks, workflows, and real-world scenarios.
Exceptional analytical thinking and problem-solving capabilities, with a talent for converting insights into practical actions.
Outstanding written and verbal communication skills, including feedback delivery and cross-functional collaboration.
Proficiency in Slack, Gmail, and advanced calendar management.
Adaptability and resourcefulness in dynamic, tech-driven environments.
Preferred Qualifications:
Experience in AI training or human-in-the-loop projects a strong plus.
Background in workflow analysis and process automation.
History of success in remote, distributed teams.
Additional Info:
This is an AI trainer position where you’ll play an essential role in shaping the next wave of smart technology. Join the customer's team and put your expertise to work, driving operational excellence and next-level results for cutting-edge AI systems.
About Micro1
Micro1 is building the essential infrastructure for the next generation of artificial intelligence, moving beyond the limitations of static datasets to create a dynamic ecosystem where models truly learn to think and act. At its core, the company understands that the path to frontier intelligence isn't paved with synthetic data alone; it requires the nuance, judgment, and contextual awareness that only expert human guidance can provide. By positioning itself at the intersection of human expertise and advanced reinforcement learning, Micro1 is tackling the hardest problem in AI today: teaching models not just to answer questions, but to reason through complexity and take meaningful actions in unpredictable, real-world environments.
This mission comes to life through Realm, Micro1's flagship training environment. Realm functions as a high-fidelity simulation ground where AI agents are immersed in scenarios that closely mirror the messiness of actual human workflows. Rather than relying on abstract benchmarks, Realm forces models to engage in agentic actions, multi-step decisions, digital navigation, coding, and problem-solving that require genuine comprehension. It is within these realistic sandboxes that world-class human data is generated, creating a continuous feedback loop where expert annotators observe, correct, and guide model behavior. This process does more than just fine-tune outputs; it fundamentally elevates a model's underlying reasoning architecture, ensuring that the intelligence developed in training holds up when deployed into the wild.
But training is only half the equation. Micro1 recognizes that the true test of an AI system lies in its production performance, which is where Cortex enters the picture. Cortex is a contextual evaluation platform designed to move beyond superficial accuracy metrics and provide a granular, real-time view of how agents behave in live settings. It doesn't just flag errors; it surfaces the underlying context behind failures, revealing why an agent struggled with a particular user intent or environmental variable. This insight is invaluable for engineering teams, as it transforms evaluation from a passive checkpoint into an active improvement tool. With Cortex, companies can catch degradation early, understand the nuances of edge cases, and feed those learnings directly back into Realm for retraining, creating a virtuous cycle of continuous advancement.
Ultimately, Micro1 is not merely a data lab or an evaluation tool it is a comprehensive intelligence engine that connects the entire lifecycle of model development. From the expert human feedback that sharpens raw capability, to the realistic RL environments that forge robust agentic behavior, to the contextual oversight that ensures reliability in production, Micro1 provides the integrated foundation that AI labs and enterprises desperately need. As the industry races toward truly autonomous systems, Micro1 stands as the critical bridge between laboratory breakthroughs and dependable, real-world impact, ensuring that frontier models do not just perform well on paper, but deliver genuine value in the complex, dynamic world they are meant to serve.