Growth Manager - Retention and Lifecycle

present of AI; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Emergent in Bengaluru seeks a Growth Manager to own retention, engagement and monetization across the user lifecycle, designing experiments and building repeatable loops that lift lifetime value, retention rates, and active users.

The role centers on AI-driven workflows, segmentation, lifecycle messaging, and cross-functional collaboration with content, product and analytics teams to translate insights into scalable growth plans and measurable outcomes.

Qualifications

• 4–8 years in growth with track record.
• Breaks large problems into testable pieces.
• Experience working with content, product and analytics.
• Comfort with consumer user research.
• Ability to design and run lifecycle experiments.

Responsibilities

• Own retention, engagement and monetization across the user lifecycle.
• Run experiments and build repeatable loops to improve lifetime value.
• Collaborate with content, product and analytics teams.

Skills

Growth strategy

Experiment design

Cross-functional collaboration

User research

Analytics

LLM workflow familiarity

Job description

Growth Manager - Retention and Lifecycle

The role owns retention, engagement and monetization across the user lifecycle, running experiments and building repeatable loops that keep people coming back and raise lifetime value. A strong candidate brings four to eight years in growth, breaks big problems into testable pieces, and carries plans from idea to measurable results. Comfort with consumer user research and cross team work with content, product and analytics matters more than any single tool.

How it fits the AI era

Much of the routine work, like segmenting users, drafting lifecycle messages and reading experiment results, can be automated with AI tools, and the posting expects that. What stays human is judgment: choosing which problems matter, designing tests that prove something, and understanding why users stay or leave. The role sits close to the product itself, so the person also learns firsthand how AI agents change how software gets built.

How it builds AI experience

Working here means using LLM based workflows daily to personalize and automate lifecycle outreach at scale, which builds practical skill in applying AI to growth. A candidate can prepare by running small experiments with AI tools on real user data and learning to judge when automation helps versus when it flattens the message. Understanding what the company's coding agents do for users would sharpen retention ideas.

Worth showing

• Lifecycle retention ownership
• Experiment design and analysis
• LLM workflow familiarity
• Concept to launch execution

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Emergent

Emergent develops autonomous coding agents that generate, test, and deploy web and mobile applications from natural language prompts.