Growth Manager - Retention and Lifecycle

Emergent builds autonomous coding agents that replace traditional software development by generating, testing, and deploying production applications directly from plain-language intent. Our systems run in production at global scale and are used to build millions of real applications.

Since our public launch, we’ve crossed $130M in Annualised Revenue and grown to over 10M users across 190+ countries, who have built 12M+ applications on Emergent. We’re backed by Creaegis, Khosla Ventures, SoftBank, Lightspeed, Together, Y Combinator, Google, Claypond and Sentinel Global.

We’re solving the hard part of AI-driven software creation: correctness, reliability, security, and scale in real production systems. The team is built by repeat founders, Olympiad medalists, IIT & IIM alumni, and leaders from Google, Amazon, and Dropbox.

We’re hiring builders who want ownership, speed, and impact at global scale.

• →Customer Lifecycle Growth and Retention: drive engagement, retention, and monetization across the user lifecycle with a deep focus on building scalable retention loops and improving lifetime value
• →Content-Led Growth and Expansion: drive the content charter for retention, scaling high-performing content to reach new audience segments while supporting launches in new markets
• →Data-Driven Experimentation: move beyond traditional acquisition experiments to test, iterate, and scale initiatives that deepen user engagement, taking inspiration from gaming industry retention models
• →Cross-Functional Leadership: partner with content, product, and analytics teams to design and execute experiments that drive sustainable growth, leveraging insights to inform scalable strategies across diverse genres
• →Scaling: leverage AI-native workflows to automate and personalize lifecycle interventions, enhancing retention and monetization at scale

• 0 to 2 years of work experience in growth or related roles
• Astute problem-solving skills and the ability to break (seemingly) large problems into smaller, practical, solvable pieces with a data-driven approach to decision-making
• Someone who excels at developing and implementing a plan from concept to completion, generating measurable outcomes across retention, engagement, and monetization
• Track record of productive teamwork: starts with “why” rather than “what,” enjoys getting hands dirty, and possesses a drive for continuous learning
• A deep understanding of user needs, preferably gained in consumer-first companies
• Comfort working with AI automation tools and exposure to LLM-based workflows to drive scalable growth initiatives
• Action bias: solves problems, executes, and iterates as needed