Lovable Labs Inc. logo

AI/Scaled Customer Success Lead

Job Overview

Location

Boston

Job Type

Full-time

Category

Customer Success

Date Posted

April 11, 2026

Full Job Description

đź“‹ Description

  • • As the AI/Scaled Customer Success Lead at Lovable Labs Inc., you will design and implement scalable systems, automation, and programs that ensure every customer receives timely, relevant touchpoints—without requiring a dedicated CSM for every account—directly impacting customer retention, expansion, and satisfaction at scale.
  • • Day to day, you will own the lifecycle automation engine by building onboarding sequences, activation nudges, adoption campaigns, and renewal outreach; develop health scoring models and response playbooks; create early-warning systems for churn risk; manage 1:many enablement events like webinars and office hours; build Voice of the Customer pipelines; orchestrate customer communications at scale; and detect expansion signals to hand off to sales and CS teams.
  • • You’ll join a small, high-impact, talent-dense team based in Stockholm (with remote flexibility) that values extreme ownership, rapid iteration, and low-ego collaboration—building a generation-defining platform used by over 2 million people across 200+ countries to turn ideas into software.
  • • In this role, you will deepen your expertise in scalable customer success operations, become a master of product-led growth mechanics, gain hands-on experience using AI to automate content and insights, and leave a lasting mark on how a fast-growing SaaS company scales its customer relationships without linear headcount growth.

Skills & Technologies

Senior
Onsite

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Lovable Labs Inc.
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About Lovable Labs Inc.

Lovable Labs is a Swedish startup that provides an AI-powered platform for non-technical founders and product managers to design, build and deploy web and mobile applications through natural language prompts. The system auto-generates full-stack React and Node.js code, live previews, and integrates hosting, databases and version control so users can iterate from idea to production without writing code or managing infrastructure.

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