New opportunity

Product Manager, B2C

ELSA · India (Remote)

About this role

As a Product Manager for B2C at ELSA, you will own the end-to-end product experience for consumer learners, driving acquisition, activation, engagement, retention, and subscription revenue. You will work at the intersection of consumer products, language learning, and AI, collaborating with cross-functional teams including Engineering, AI/ML, Design, and Marketing to build personalized learning paths and adaptive experiences. Responsibilities: Own the B2C product journey from onboarding to long-term habit formation; define and prioritize the product roadmap based on user research, behavioral data, and business metrics; lead A/B testing and experimentation to optimize conversion and retention; monitor key metrics such as DAU/WAU, churn, and LTV; and act as the voice of the consumer to senior leadership. Requirements: 5+ years of product management experience in B2C digital products, consumer apps, or SaaS; demonstrated impact on growth and monetization; strong analytical skills with experience in tools like Amplitude or Mixpanel; proficiency in designing product experiments; and excellent English communication skills. Preferred qualifications include experience with subscription models, mobile app development, and familiarity with AI/ML-powered consumer experiences such as LLMs, RAG pipelines, and AI agents. Python knowledge for data analysis is a plus. This is a high-ownership role within a globally distributed, remote-friendly team.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

Product ManagementB2CConsumer AppsSaaSEdTechSubscription ProductsProduct AnalyticsAmplitudeMixpanelGA4FirebaseA/B TestingExperimentationPersonalizationRecommendation SystemsPythonLLMsLangChainRAGAI AgentsMobile Product Development

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

Optimizing the B2C Subscription Funnel
The role requires direct ownership of conversion and LTV. You must prioritize improving the journey from onboarding to paid subscription, using A/B testing to refine paywalls and trial-to-paid conversion rates.
Driving Long-Term User Engagement
As the product shifts toward an AI communication coach, you must design engagement loops and habit-forming features that keep users returning consistently, moving beyond initial acquisition to sustained retention.
Leveraging AI for Personalized Learning
You will collaborate with AI/ML teams to integrate LLMs and adaptive learning into the product. The priority is to translate these technical capabilities into tangible improvements in user learning outcomes and personalization.
Data-Driven Roadmap Prioritization
You must synthesize quantitative behavioral data from tools like Amplitude or Mixpanel with qualitative user feedback to define a roadmap that balances immediate business metrics with long-term product vision.

Likely challenges to think through

Balancing AI Innovation with User Utility
Integrating advanced AI like RAG pipelines or agents can introduce complexity. The challenge is ensuring these features solve genuine user pain points rather than adding friction, requiring rigorous experimentation to validate value.
Managing Global User Diversity
ELSA operates across multiple international markets. You must adapt product experiences to diverse linguistic backgrounds and learning goals while maintaining a unified, scalable product architecture.
Cross-Functional Alignment in a Remote Environment
Operating in a globally distributed team requires proactive communication. You must effectively align Engineering, AI/ML, and Marketing stakeholders on complex trade-offs without the benefit of in-person collaboration.

Practice your answers

Technical practice

Optimizing B2C Onboarding Funnels

What to coverDescribe your approach to reducing friction in the onboarding process to improve activation rates. Discuss how you would use behavioral data and A/B testing to identify drop-off points and validate improvements.

Managing Subscription Economics

What to coverExplain how you balance user experience with monetization goals in a freemium model. Address how you monitor and improve key metrics like churn, LTV, and trial-to-paid conversion rates.

Designing AI-Powered Learning Paths

What to coverHow do you leverage user data to create personalized, adaptive learning experiences? Discuss the trade-offs between automated recommendation systems and user-controlled learning paths.

Experimentation Frameworks

What to coverOutline your process for designing and executing product experiments. Explain how you ensure statistical significance and how you prioritize tests based on potential business impact.

Leveraging Analytics Tools

What to coverDetail your experience with tools like Amplitude or Mixpanel for tracking user journeys. Provide an example of how you have used cohort analysis to diagnose retention issues.

Integrating LLMs and RAG in Consumer Apps

What to coverDiscuss the challenges of implementing AI agents or RAG pipelines in a mobile app environment. Focus on balancing model latency, cost, and the quality of the user's learning experience.

Data-Driven Roadmap Prioritization

What to coverHow do you synthesize qualitative user feedback with quantitative behavioral data to build a product roadmap? Explain how you communicate these priorities to cross-functional stakeholders.

Mobile Product Development Lifecycle

What to coverDescribe your experience managing product releases across iOS and Android. Address how you handle platform-specific constraints while maintaining a consistent user experience.

Behavioural practice

Driving Cross-Functional Collaboration

What to coverProvide an example of a time you had to align Engineering, Design, and AI/ML teams on a complex product feature. How did you manage conflicting priorities to ensure a successful launch?

Acting as the Voice of the Consumer

What to coverDescribe a situation where you advocated for a user need that conflicted with internal business goals. How did you present your case to leadership and what was the outcome?

Handling Product Failure

What to coverTell me about a product experiment or feature launch that did not meet its success metrics. What did you learn from the data, and how did you iterate or pivot based on those findings?

Operating in a Remote Environment

What to coverShare an example of how you have maintained high team alignment and communication while working in a globally distributed, remote-friendly team.

Sharpen your knowledge

Topics to prepare

Subscription Economics and Retention
Review key metrics such as LTV, CAC, churn, and retention cohorts. Practice mapping these metrics to specific product features like paywalls or onboarding flows to understand how they influence long-term subscription revenue.
AI-Powered Product Personalization
Study the conceptual framework of adaptive learning and recommendation systems. Focus on how user behavioral data can be used to create personalized learning paths, which is central to ELSA's goal of becoming an AI communication coach.
Growth Product Management Frameworks
Analyze the end-to-end consumer funnel from acquisition to activation and habit formation. Prepare to discuss how to diagnose drop-off points and design experiments to optimize conversion rates.

Skills to revise

A/B Testing and Experimentation
Design a hypothetical experiment to improve user activation in a mobile app. Define the hypothesis, success metrics, and the methodology for testing, reflecting the role's requirement to lead experimentation across product surfaces.
Product Analytics (Amplitude/Mixpanel)
Practice creating a funnel analysis or a retention cohort report using product analytics tools. This is essential for the role's requirement to use quantitative data to identify user pain points and prioritize the roadmap.
AI/LLM Technical Familiarity
Review the basics of RAG pipelines and AI agents. While not a coding role, understanding these concepts will help you collaborate effectively with the AI/ML team to build features that leverage generative AI.

Your preparation checklist

Analyze ELSA's B2C User Journey
Download the ELSA app and map the current user experience from initial onboarding to the first paywall. Identify potential friction points in the activation funnel and prepare a brief critique of how the current flow balances user value with subscription conversion.
Prepare a Data-Driven Experiment Case Study
Select a past project where you used A/B testing to improve a key metric like retention or LTV. Prepare to explain your hypothesis, the specific analytics tool used (e.g., Amplitude or Mixpanel), the experimental design, and the final business impact.
Develop an AI-Product Strategy Perspective
Formulate a perspective on how LLMs and RAG pipelines can enhance personalized language learning. Be ready to discuss how to balance AI-driven personalization with the need for consistent habit formation in a mobile app environment.
Review Subscription Economics
Prepare to discuss your experience managing subscription-based products. Be ready to explain how you have previously optimized for metrics like churn, ARPU, and CAC, and how you would apply these frameworks to ELSA's specific freemium model.
Formulate Strategic Questions for Leadership
Prepare thoughtful questions regarding ELSA's current growth priorities, such as: 'How does the team currently balance short-term conversion optimization with long-term habit formation?' or 'What are the biggest technical or data-related challenges in scaling personalized AI coaching for a global user base?'

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