Product Manager – Product Operations & Engagement

Experience Required:

Location:

Employment Type:

About the Role

Product Manager – Product Operations & Engagement

Key Responsibilities

• Engagement & Communication Strategy:

  Own and manage engagement initiatives across channels (push notifications, in-app messages, emails, WhatsApp, SMS, etc.) using platforms like MoEngage/CleverTap.

• Analytics & Reporting:

  Define, track, and analyze key metrics (DAU/MAU, churn, conversion funnels, cohort retention, etc.) and create dashboards for business and product teams.

• Experimentation:

  Design, run, and analyze A/B tests and multivariate experiments to continuously improve engagement, conversions, and retention.

• Lifecycle Campaigns:

  Build, automate, and optimize lifecycle communication journeys for onboarding, activation, upsell, cross-sell, and win-back campaigns.

• Product Operations:

  Collaborate with engineering, design, and marketing teams to ensure engagement features and communication flows are well integrated into the product.

• Stakeholder Alignment:

  Work closely with product managers, growth teams, and leadership to align engagement strategies with overall business and product goals.

• Continuous Optimization:

  Leverage user behavior insights to propose new strategies, experiments, and campaigns that maximize engagement and customer satisfaction.

Requirements

• 2–5 years of experience in

  product operations, growth, or engagement management

  roles.
• Strong proficiency with

  engagement and communication platforms

  (MoEngage, CleverTap, WebEngage, Braze, etc.).
• Hands-on experience with

  user segmentation, funnels, cohorts, and retention analysis

  .
• Ability to create and interpret dashboards (Mixpanel, Amplitude, PowerBI, Tableau, etc.).
• Strong understanding of

  A/B testing frameworks

  and experimentation methodologies.
• Excellent communication skills and the ability to collaborate across functions.
• Analytical and data-driven mindset with a track record of improving product engagement.
• Proficiency in using modern AI tools (e.g., ChatGPT, Claude, Copilot) to enhance personal productivity in research, analysis, and documentation.
• Demonstrable experience in defining, launching, and iterating on products with significant AI/ML components (e.g., personalization, recommendation systems, NLP, predictive analytics).

Nice-to-Have

• Experience in SaaS, health-tech, or consumer-tech products.
• Familiarity with SQL, Google Analytics, and Firebase.
• Exposure to gamification, behavioral design, or personalization strategies.

What We Offer

• Opportunity to own

  product engagement end-to-end

  across a large user base.
• A collaborative culture where data-driven experiments and ideas are valued.
• Growth opportunities in a fast-paced, impact-driven environment.
• Competitive salary and perks