Growth Lead – Consumer Lifecycle Management

Application Form
Recrew Logo

Growth Lead – Consumer Lifecycle Management Application Form

Apply Now

Share your details below to apply for this job.

Enter a number between 0 and 1000
Enter a number between 0 and 1000
Enter a number between 0 and 120
Are you currently on notice period?

Accepted formats: .doc, .docx, .pdf, .png, .jpeg, .jpg

Maximum file size: 20MB

By submitting this application, you acknowledge and consent to the use of artificial intelligence (AI) technologies in the recruitment process, including but not limited to resume screening, candidate assessment, and interview facilitation. Your application data may be processed by AI systems to evaluate your qualifications. You have the right to request human review of any AI-assisted decisions.

Job Description

Role: Growth Lead – Consumer Lifecycle Management

Function: Growth / Product Marketing

Location: Mumbai / Bangalore

Type: Full-time

Compensation: Competitive compensation with the backing of a large-scale ecosystem

Industry: Consumer AI

About Company

The company is building the AI layer for Bharat at India-scale. Backed by partnerships with global tech leaders like Meta and Google, it creates AI that serves the entire Indian user base—across languages, contexts, and daily needs.

The company combines deep India-first AI capability with unmatched India-scale distribution. Its platform-and-product stack is engineered from day one for 100M+ users and 1B-ready constraints on latency, cost, reliability, and safety.

The culture emphasises engineering excellence, strong collaboration, and tangible impact across sectors that matter to India.

Position Overview

As Growth Lead for the company's Consumer Lifecycle Management function, you will own the post-install funnel from onboarding through deep activation and long-term retention. You will design and run a rigorous experimentation engine, optimise High-Value Actions (HVAs) across user lifecycle stages, and collaborate with Product, Personalisation, and Analytics teams to drive measurable DAU/MAU growth at India scale.

Role & Responsibilities

  • Diagnose and optimise the post-install lifecycle funnel (onboarding → activation → retention), identifying drop-offs and designing targeted interventions
  • Analyse and optimise High-Value Actions (HVAs) across user lifecycle segments to improve adoption rates at each stage
  • Design next-best-action logic for user journeys in close collaboration with Personalisation and Product teams
  • Own the end-to-end experimentation pipeline: experiment design standards, pre-committed decision rules, and the hypothesis → test → decision loop
  • Track and report on North Star metrics (DAU/MAU, engagement depth) and key funnel metrics (D1/D3/D7/D14/D30 retention, onboarding %, HVA adoption rate)
  • Prepare and present weekly business review learnings, coordinating inputs across Product, Analytics, GTM, and Research
  • Automate learning loops and build dashboards that give the pod real-time visibility into experiment outcomes and funnel health

Must Have Criteria

  • 4–8 years of experience in growth lifecycle roles
  • Demonstrated experience optimising activation or retention funnels at a B2C product with 10M+ MAU in India
  • Built or refined behavioural lifecycle models (stage classification, engagement cohorts)
  • Run 50+ structured experiments with proper statistical rigour
  • Hands-on experience with experimentation platforms: GrowthBook, Optimizely, or Statsig
  • Hands-on experience with engagement tools: CleverTap, MoEngage, or Braze
  • SQL-fluent

Nice to Have

  • Experience with non-metro / vernacular audiences in India
  • Prior experience at Swiggy, Dream11, or a comparable high-scale Indian consumer app

What We Offer

  • Opportunity to build lifecycle growth systems for one of India's most ambitious consumer AI products
  • High-ownership, startup-like execution within a large-scale distribution ecosystem
  • Direct impact on metrics that matter—DAU/MAU, retention, HVA adoption—at 100M+ user scale
  • Fast iteration loops, small pods, and strong cross-functional collaboration
  • Competitive compensation with the backing of a large-scale ecosystem

Apply Now

Share your details below to apply for this job.

Enter a number between 0 and 1000
Enter a number between 0 and 1000
Enter a number between 0 and 120
Are you currently on notice period?

Accepted formats: .doc, .docx, .pdf, .png, .jpeg, .jpg

Maximum file size: 20MB

By submitting this application, you acknowledge and consent to the use of artificial intelligence (AI) technologies in the recruitment process, including but not limited to resume screening, candidate assessment, and interview facilitation. Your application data may be processed by AI systems to evaluate your qualifications. You have the right to request human review of any AI-assisted decisions.